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#Retrieval Augmented Generation (RAG)

Showing: 198 courses
James Briggs

Better Llama with Retrieval Augmented Generation - RAG

1 rewiews
Learn to enhance Llama 2 using Retrieval Augmented Generation (RAG). Build a pipeline with Pinecone, Llama 2 13B, and integrate it using Hugging Face and LangChain for improved, up-to-date language model performance.
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9 Lesons
21 minutes
On-Demand
Free-Video
MLOps.community

Supercharging Your RAG System: Techniques and Challenges - DE4AI

0 rewiews
Explore techniques and challenges in supercharging Retrieval-Augmented Generation (RAG) systems in this 40-minute conference talk by Tengyu Ma, Co-founder & CEO of Voyage AI and Assistant Professor of Computer Science at Stanford University. Gain insight…
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1 Lesons
40 minutes
On-Demand
Free-Video
Devoxx

Easy RAG with LangChain4J and Docker - Implementing Retrieval-Augmented Generation

0 rewiews
Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configu…
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1 Lesons
31 minutes
On-Demand
Free-Video
Devoxx

From Naive to Advanced RAG: The Complete Guide - Lecture 1

0 rewiews
Embark on a comprehensive deep-dive into Retrieval Augmented Generation (RAG) techniques, from basic implementations to advanced strategies. Learn how to overcome common challenges such as inaccurate or incomplete answers, outdated information, and ineff…
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1 Lesons
2 hours 47 minutes
On-Demand
Free-Video
Devoxx

Crafting Intelligent Applications with Quarkus and LangChain4j

0 rewiews
Explore the evolution and capabilities of Quarkus/LangChain4j integration in this conference talk. Discover how Quarkus provides an ideal runtime for developing intelligent Java applications, leveraging LangChain4j's potential. Learn about seamless CDI i…
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1 Lesons
43 minutes
On-Demand
Free-Video
Devoxx

Avoid Common LLM Pitfalls - Techniques for Enhancing LLM Outputs

0 rewiews
Explore techniques to overcome LLM limitations: response schemas, RAG, function calling, and grounding for improved outputs and real-world applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
Devoxx

Spring AI: Seamlessly Integrating AI into Enterprise Java Applications

0 rewiews
Integrate AI into Java enterprise apps using Spring AI. Learn key concepts, develop AI applications rapidly, and explore practical use cases like semantic search and RAG patterns.
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1 Lesons
49 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Customizable RAG Workflows with Your Own Data

0 rewiews
Build customizable RAG workflows using OSS tools and your own data to optimize GenAI applications for corporate environments. Learn best practices and advanced techniques.
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1 Lesons
39 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

From Idea to Production: AI Infrastructure for Scaling LLM Applications

0 rewiews
Explore strategies for scaling LLM applications from beta to production, addressing challenges and building adaptable AI infrastructure for evolving models and workflows.
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1 Lesons
38 minutes
On-Demand
Free-Video
Weights & Biases

RAG++: From POC to Production - Advanced Techniques and Implementation

0 rewiews
Explore advanced RAG techniques, from basic concepts to production-ready implementations, in this comprehensive guide to enhancing AI-powered information retrieval systems.
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1 Lesons
19 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Extracting Structured Information from PDFs with LangChain and Gemini Pro

0 rewiews
Explore techniques for extracting structured data from PDFs using LangChain, Gemini Pro 1.5, and Pydantic. Learn to leverage machine learning for efficient information retrieval and processing.
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1 Lesons
27 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG: How to Use LangChain's Pandas DataFrame Agent with Gemini Pro

0 rewiews
Explore LangChain's Pandas DataFrame Agent with Gemini Pro, integrating machine learning and data science techniques for enhanced data analysis and manipulation.
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1 Lesons
29 minutes
On-Demand
Free-Video
OpenSource Connections

AI-Powered Search: Navigating the Evolving Lexicon of Information Retrieval - Keynote

0 rewiews
Explore the evolving landscape of AI-powered search and information retrieval, examining new concepts and their relationships to traditional techniques in this insightful keynote presentation.
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1 Lesons
48 minutes
On-Demand
Free-Video
Anyscale

LlamaIndex's Vision for Intelligent AI Assistants

0 rewiews
Explore LlamaIndex's vision for advanced AI assistants, delving into multi-agent systems, sophisticated reasoning, and cutting-edge RAG modules for tackling complex tasks across diverse data sources.
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1 Lesons
29 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Neo4J Knowledge Graph Builder - Introduction to RAG and LLM Integration

0 rewiews
Explore Neo4J Knowledge Graph Builder for creating knowledge graphs from unstructured data using LLMs and LangChain. Learn to leverage this tool for advanced data science and machine learning applications.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: Integration of ElasticSearch Vector Store and RAG with Gemini

0 rewiews
Explore integrating Langchain with ElasticSearch for RAG applications, using ElasticSearch as a vector store and retrieval component with Gemini.
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1 Lesons
17 minutes
On-Demand
Free-Video
Anyscale

Building an Agentic Framework for Generative AI Applications

0 rewiews
Discover how to build an agentic framework for GenAI applications, focusing on RAG-centric approaches, multilingual queries, and real-time data processing for enhanced customer assistance.
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1 Lesons
32 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: Integrating ElasticSearch Vector Store and RAG with Gemini

0 rewiews
Explora la integración de Langchain con ElasticSearch y aprende a implementar aplicaciones RAG utilizando Gemini como modelo base y ElasticSearch como almacén de vectores.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG: Neo4J Knowledge Graph Builder - Introducción en Español

0 rewiews
Descubre cómo crear Knowledge Graphs con Neo4J Knowledge Graph Builder, utilizando datos no estructurados y tecnologías como LLM y LangChain para potenciar tus proyectos de ciencia de datos.
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1 Lesons
31 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Extracción de Información Estructurada de PDF con LangChain y Gemini Pro

0 rewiews
Descubre cómo extraer información estructurada de PDFs utilizando LangChain, Gemini Pro 1.5 y Pydantic. Aprende técnicas avanzadas de procesamiento de documentos para mejorar tus habilidades en machine learning.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

GraphRAG - Unleashing the Power of Knowledge Graphs with LLMs (Español)

0 rewiews
Descubre cómo potenciar agentes RAG con GraphRAG, una suite de herramientas para crear y utilizar Knowledge Graphs mediante LLMs, mejorando la búsqueda e interpretabilidad.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG: Como usar LangChain's Pandas DataFrame Agent con Gemini Pro

0 rewiews
Aprende a integrar LangChain's Pandas DataFrame Agent con Gemini Pro para potenciar el análisis de datos y la ejecución de código en machine learning.
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1 Lesons
27 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Self-Hosted LLM Agent on Your Own Laptop or Edge Device

0 rewiews
探索如何在个人设备上部署开源LLM代理，实现隐私保护、定制化和成本控制。使用WasmEdge和Rust构建高性能AI服务，无需复杂依赖，适用于各种平台。
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1 Lesons
35 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma - Spanish Tutorial

0 rewiews
Crea una herramienta de preguntas y respuestas utilizando RAG, Gemini Pro, Langchain y Chroma para analizar documentos legales en PDF.
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1 Lesons
22 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama 2, Ollama and Pinecone: Searching in Vector Stores

0 rewiews
Instala y utiliza OLLAMA y Pinecone para crear embeddings con LLama2 7B, subir contenido a la base de vectores y realizar consultas eficientes.
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1 Lesons
47 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: QA and RAG Components with Your Own Data

0 rewiews
Crea componentes RAG y QA con Langchain utilizando tus propios datos para potenciar aplicaciones de IA generativa y aprendizaje automático.
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1 Lesons
20 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Semantic Kernel C# SDK: Implementación de Memoria Semántica con Chroma

0 rewiews
Desarrolla un componente RAG utilizando Semantic Kernel de Microsoft, Chroma como almacén vectorial y modelos de OpenAI para mejorar aplicaciones de IA.
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1 Lesons
35 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Integración de NVIDIA NIM con Langchain para RAG Q&A

0 rewiews
Explora la integración de NVIDIA NIM con Langchain para crear un componente RAG Q&A utilizando Faiss, mejorando tus habilidades en inteligencia artificial y procesamiento de lenguaje natural.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Semantic Kernel and RAG Dynamic Prompts in Spanish

0 rewiews
Explora el Semantic Kernel de Microsoft y crea componentes RAG con prompts dinámicos usando Ollama y modelos personalizados en C#.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Multimodal Q&A RAG Tool with Gemini - Spanish Tutorial

0 rewiews
Aprende a crear un componente RAG de Q&A multimodal utilizando Gemini para procesar datos no estructurados como imágenes, audio y video.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: Conversational QA Tool with Gemini, Langchain, and Faiss - Spanish

0 rewiews
Crea una herramienta de QA conversacional utilizando Langchain, Faiss y Gemini Pro para construir una base de conocimientos a partir de documentos PDF legales.
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1 Lesons
32 minutes
On-Demand
Free-Video
Security BSides San Francisco

Next-Gen Detection: Harnessing LLMs for Sigma Rule Automation

0 rewiews
Explore innovative approaches to automate Sigma rule generation using LLMs, comparing techniques like RAG, fine-tuning, and prompt-chaining for enhanced threat detection efficiency.
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1 Lesons
38 minutes
On-Demand
Free-Video
Data Science Dojo

Boosting LLMs Performance with Retrieval-Augmented Generation

0 rewiews
Enhance LLM performance with RAG: Incorporate external data into prompts, personalize for specialized domains, and keep information current through updatable knowledge libraries.
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1 Lesons
48 minutes
On-Demand
Free-Video
Data Science Dojo

Retrieval Augmented Generation - Boosting LLM Performance with External Knowledge

0 rewiews
Enhance LLM performance by integrating external knowledge sources, enabling more accurate and domain-specific responses while keeping information current through independently updatable knowledge libraries.
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6 Lesons
48 minutes
On-Demand
Free-Video
Databricks

Simplifying Data Ingestion for LLMs with Unstructured and Databricks

0 rewiews
Learn to build a scalable solution for unstructured data ingestion in LLM applications using Unstructured and Databricks, addressing challenges and exploring efficient methods.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Semantic Kernel and RAG Dynamic Prompts with C# - Data Science and Machine Learning

0 rewiews
Explore RAG component creation using Dynamic Prompts with Microsoft Semantic Kernel, utilizing Ollama Framework and Phi3 Mini model in C#.
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1 Lesons
20 minutes
On-Demand
Free-Video
Tech with Tim

Advanced Python Multi-Agent AI Development with RAG, Streamlit, and Langflow

0 rewiews
Master advanced Python AI development by building a multi-agent system using Langflow, Streamlit, and AstraDB. Create interactive applications with multiple LLMs, task routing, and a user-friendly frontend interface.
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14 Lesons
1 hour 48 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Teaching Vector Databases at Scale

0 rewiews
Discover how vector databases are being integrated into university curricula and online learning platforms, with insights on implementing RAG patterns and scaling database education.
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1 Lesons
36 minutes
On-Demand
Free-Video
Pinecone

Live Code Review - Pinecone Vercel Starter Template and Retrieval Augmented Generation

0 rewiews
Explore Pinecone Vercel starter template for building AI chatbots with Retrieval Augmented Generation. Learn about embeddings, vector databases, and web crawling to create more accurate AI applications.
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17 Lesons
36 minutes
On-Demand
Free-Video
Data Centric

Building AI Agents from Scratch - Simplified

1 rewiews
Uncover AI agent mechanics and learn a basic pattern to build your own without intermediate libraries. Gain practical insights for custom AI development.
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4 Lesons
34 minutes
On-Demand
Free-Video
AI Bites

Chunking Strategies for Retrieval Augmented Generation (RAG) with LangChain and LlamaIndex

0 rewiews
Master text chunking techniques for RAG systems using LangChain and LlamaIndex, covering fixed-size, recursive, document, and semantic approaches to optimize LLM performance.
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10 Lesons
17 minutes
On-Demand
Free-Video
AI Bites

Building a RAG Pipeline with LangChain and ChromaDB for Email-Based Chat Applications

0 rewiews
Master practical RAG implementation with LangChain and ChromaDB to build an intelligent email-based chatbot system using vector stores, text splitters, and LLM integration.
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14 Lesons
18 minutes
On-Demand
Free-Video
AI Bites

Improving RAG Pipelines with Contextual Information Retrieval

0 rewiews
Master advanced RAG techniques by exploring hybrid approaches combining semantic embeddings with TF-IDF and BM25, plus learn about Anthropic's Contextual Retrieval method for enhanced performance.
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12 Lesons
18 minutes
On-Demand
Free-Video
Discover AI

DSPy for In-Context Learning and RAG Classification - Code Explained

0 rewiews
Explore state-of-the-art extreme multi-label classification using DSPy's Infer-Retrieve-Rank program, combining frozen retrieval with in-context learning for optimal results.
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1 Lesons
29 minutes
On-Demand
Free-Video
Discover AI

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

0 rewiews
Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.
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1 Lesons
52 minutes
On-Demand
Free-Video
Discover AI

Creating GPTs with OpenAI's Assistants API - A Practical Guide

0 rewiews
Discover how to leverage OpenAI's Assistants API to build custom GPTs with code interpretation, function calling, and knowledge augmentation through RAG and retrieval capabilities.
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1 Lesons
37 minutes
On-Demand
Free-Video
Discover AI

Anthropic's Improved Contextual RAG System - Implementation Guide and Performance Analysis

0 rewiews
Discover how to implement Anthropic's improved RAG system with contextual retrieval, featuring cBM25, prompt caching, and reranking techniques - applicable across all LLM platforms for enhanced performance.
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13 Lesons
34 minutes
On-Demand
Free-Video
Discover AI

Agentic AI: Understanding Advanced Function Calling and RAG Systems

0 rewiews
Delve into the advanced concepts of agentic AI systems, exploring function calling, RAG integration, and future world models for enhanced AI planning and decision-making capabilities.
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1 Lesons
46 minutes
On-Demand
Free-Video
Discover AI

AI Phone: From Voice Assistants to Advanced AI Integration and Reasoning

0 rewiews
Explore the revolutionary concept of AI Phone technology, from LLM quantization to advanced reasoning systems, and discover how AI-centric devices could transform mobile computing and human interaction.
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1 Lesons
17 minutes
On-Demand
Free-Video
Discover AI

Exploring COHERE's CORAL: RAG-Enabled AI Systems and Playground Demo

0 rewiews
Explore COHERE's new CORAL RAG implementation through hands-on demonstrations in their AI playground, featuring real-time experimentation with their latest LLM capabilities.
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4 Lesons
11 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Building a RAG Movie Recommendations Chatbot with Qdrant and n8n - No-Code Tutorial

0 rewiews
Learn to build a personalized movie recommendation chatbot using RAG technology, Qdrant Cloud, and n8n's AI starter kit - no coding needed. Create custom filters for genres, themes, and preferences.
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1 Lesons
32 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Building Search and RAG for OpenAPI Specifications

0 rewiews
Discover how to implement vector search and RAG capabilities for OpenAPI specifications, focusing on code summarization, metadata management, and practical UI development techniques.
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8 Lesons
33 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Building a RAG Chatbot with LangChain, OpenAI, and Groq

0 rewiews
Learn to build a RAG-powered chatbot from scratch using LangChain, OpenAI's GPT-3.5-turbo, and Qdrant vector database for enhanced knowledge retrieval and response generation.
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1 Lesons
20 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Getting Started with DSPy - Building LLM Programs Tutorial

0 rewiews
Discover how to build robust LLM programs using DSPy framework, from basic concepts to creating retrieve-then-read RAG systems with optimized instructions and structured data handling.
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1 Lesons
35 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

A Data-Driven Approach to Productionizing RAG Systems

0 rewiews
Discover practical strategies for deploying RAG applications effectively, focusing on data-driven methods and optimization techniques for enhanced performance and reliability.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Discover AI

Building RAG Systems: From Vector Embeddings to Self-Reflective CRAG - 5 Python Notebooks

0 rewiews
Explore practical RAG implementations through 5 Python notebooks, from basic text embeddings to advanced self-reflective systems using LlamaIndex, Ollama, and ReAct Agent frameworks.
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7 Lesons
19 minutes
On-Demand
Free-Video
Discover AI

Graph Inspired Veracity Extrapolation (GIVE) - Integrating LLMs with Knowledge Graphs

0 rewiews
Discover how GIVE framework enhances LLM reasoning by combining knowledge graphs with internal model knowledge, enabling more accurate responses through structured, step-by-step logical inference processes.
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8 Lesons
19 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Challenges in Using LLM-as-a-Judge for Production Evaluations

0 rewiews
Explore key techniques and challenges in using LLMs as evaluation tools for AI applications, with insights on improving RAG-based systems and implementing production-grade assessments.
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1 Lesons
43 minutes
On-Demand
Free-Video
Databricks

Flow Engineering and Agentic RAG with LangGraph

0 rewiews
Explore advanced RAG agent development using LangGraph for reliable control flow, and learn debugging techniques with LangSmith to enhance GenAI applications for your organization.
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1 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

Introducing Open Platform for Enterprise AI

0 rewiews
Explore OPEA: an open platform for creating multi-provider, robust GenAI solutions. Learn about its mission, implementations, partners, and how to contribute to this innovative project.
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1 Lesons
38 minutes
On-Demand
Free-Video
Data Centric

Building AI Agents - Simplifying Development with Meta Prompting and LangSmith

0 rewiews
Master AI agent development with meta prompting, structured outputs, and LangSmith observability. Learn to create versatile, goal-oriented systems like Jar3d for efficient problem-solving and collaboration.
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7 Lesons
1 hour
On-Demand
Free-Video
James Briggs

Hugging Face LLMs with SageMaker - RAG with Pinecone

0 rewiews
Learn to build LLM + RAG pipelines using Hugging Face models on AWS SageMaker. Implement semantic search with MiniLM and Pinecone for enhanced AI applications.
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12 Lesons
33 minutes
On-Demand
Free-Video
Data Science Dojo

Supercharge Your LLM Applications with RAG

0 rewiews
Explore Retrieval-Augmented Generation (RAG) for LLM applications, covering design patterns, knowledge embedding, vector databases, and practical insights for technical architects and business leaders.
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6 Lesons
1 hour
On-Demand
Free-Video
James Briggs

Chatbots with RAG - LangChain Full Walkthrough

0 rewiews
Comprehensive walkthrough on building a chatbot using Retrieval Augmented Generation, covering LangChain, OpenAI's GPT-3.5-turbo, embeddings, and Pinecone vector database for enhanced accuracy and context.
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10 Lesons
36 minutes
On-Demand
Free-Video
James Briggs

Nvidia's NeMo Guardrails - Full Walkthrough for Chatbots - AI

0 rewiews
Comprehensive walkthrough of Nvidia's NeMo Guardrails library for building safer, more controlled chatbots and AI assistants. Covers implementation, dialogue flows, and practical Python examples.
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8 Lesons
21 minutes
On-Demand
Free-Video
Venelin Valkov

Fine-Tuning Llama 3 on a Custom Dataset for RAG Q&A - Training LLM on a Single GPU

0 rewiews
Learn to fine-tune Llama 3 on custom datasets for improved LLM performance in specific tasks, using a single GPU. Covers dataset preparation, model setup, training, and evaluation.
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15 Lesons
33 minutes
On-Demand
Free-Video
Dave Gray

Building an AI RAG Application with LangChain and Next.js

0 rewiews
Learn to enhance chatbots using LangChain and Next.js, focusing on RAG applications. Covers key concepts, implementation steps, and practical examples for building advanced AI-powered chat systems.
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16 Lesons
34 minutes
On-Demand
Free-Video
echohive

RAG Agents: Designing AI Assistants with OpenAI API and 10,000 Document Support

0 rewiews
Explore OpenAI Assistants API for RAG systems: create AI agents, upload files, and support 10,000 documents. Learn Python implementation and code review for advanced AI assistance.
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7 Lesons
22 minutes
On-Demand
Free-Video
Tech with Tim

Build a RAG-Based LLM App in 20 Minutes - Langflow Tutorial

0 rewiews
Learn to build an AI app using RAG and Langflow without coding. Create a chatbot, integrate OpenAI, use vector databases, and implement retrieval-augmented generation in minutes.
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9 Lesons
24 minutes
On-Demand
Free-Video
Security BSides San Francisco

Cybersecurity Meets Generative AI - Automating Compliance Operations

0 rewiews
Explore how LLMs can streamline cybersecurity compliance, reducing costs and time. Includes RAG application demo and discussion on AI governance concerns in compliance automation.
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1 Lesons
32 minutes
On-Demand
Free-Video
Krish Naik

Complete Langchain Course for Generative AI

0 rewiews
Comprehensive guide to building AI applications with LangChain, covering chatbots, RAG pipelines, and integration with various tools and platforms for generative AI development.
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9 Lesons
3 hours 14 minutes
On-Demand
Free-Video
Dan Vega

Getting Started with Retrieval Augmented Generation (RAG) in Java and Spring AI

0 rewiews
Learn to implement Retrieval Augmented Generation (RAG) using Java and Spring AI. Explore RAG's applications, setup process, and practical implementation with a simple example.
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1 Lesons
31 minutes
On-Demand
Free-Video
LLMOps Space

Orchestrating RAG: Retrieval, Canopy, and Pinecone

0 rewiews
Explore orchestrating RAG pipelines, optimizing retrieval strategies, and leveraging Canopy and Pinecone for scalable AI applications with billions of documents.
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1 Lesons
58 minutes
On-Demand
Free-Video
LLMOps Space

Advanced RAG: Chunking, Embeddings, and Vector Databases

0 rewiews
Explore advanced RAG concepts: chunking for efficient retrieval, embeddings for text representation, and vector databases for optimized storage and retrieval in LLM applications.
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1 Lesons
50 minutes
On-Demand
Free-Video
LLMOps Space

Building an LLMOps Stack for Large Language Models

0 rewiews
Explore LLMOps architecture: MLFlow for LLMs, Vector Databases, RAG strategies, and prompt evaluation. Gain insights into optimizing and deploying large language models effectively.
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1 Lesons
43 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma

0 rewiews
Develop a RAG-based QA tool using Langchain, Gemini Pro, and Chroma for legal document analysis and retrieval.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama 2, Ollama and Pinecone - Vector Database Search for Machine Learning and Data Science

0 rewiews
Explore embedding and searching text using Llama 2, Ollama, and Pinecone Vector Database for efficient information retrieval in machine learning projects.
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1 Lesons
54 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Microsoft AI: Semantic Kernel C# SDK - Semantic Memory with Chroma

0 rewiews
Develop a RAG component using Semantic Kernel, Chroma, and OpenAI models in C#. Enhance machine learning projects with advanced AI techniques.
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1 Lesons
36 minutes
On-Demand
Free-Video
The Machine Learning Engineer

NVIDIA NIM Integration with Langchain for RAG Q&A

0 rewiews
Explore NVIDIA NIM integration with Langchain, creating a RAG Q&A system using Faiss for enhanced machine learning and data science applications.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning

0 rewiews
Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.
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1 Lesons
23 minutes
On-Demand
Free-Video
Open Data Science

Building Multimodal Question-Answering (RAG) System with Gemini

0 rewiews
Leverage Gemini's 2M context window and multimodal input to build a financial analysis Q&A system. Explore Vertex Gemini API, text-embeddings, and cross-modal reasoning capabilities.
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1 Lesons
53 minutes
On-Demand
Free-Video
Devoxx

Bringing GenAI to the Modern Enterprise - A Production Use-Case in Serverless Java

0 rewiews
Develop cutting-edge GenAI applications for enterprises using Java, AI orchestration frameworks, and multiple LLMs. Learn hands-on with a real-world production use-case in a serverless environment.
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1 Lesons
2 hours 35 minutes
On-Demand
Free-Video
Visual Studio Code

Building a RAG Application with GitHub Models and Postgres from Scratch

0 rewiews
Learn to build a Retrieval Augmented Generation (RAG) application from scratch using GitHub Models and PostgreSQL, enhancing AI model capabilities for smarter applications.
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6 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Open Compute Project

Bringing Value to Enterprises with RAG

0 rewiews
Discover how Intel's RAG technology bridges enterprise data with AI models, enabling customized LLM applications while maintaining data security and reducing hallucinations.
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1 Lesons
16 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Building RAG Applications with PDFs Using LlamaIndex - Comparing Gemini Pro and Nvidia NIM Llama 3.2

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Master RAG implementation using LlamaIndex to create PDF-based conversational agents with Gemini Pro and Nvidia NIM Llama 3.2, leveraging PymuPDF for text and image extraction.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: QA and RAG Components with Your Own Data

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Build QA and RAG components using Langchain to integrate custom data for enhanced machine learning and generative AI applications.
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1 Lesons
19 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Multimodal RAG Application Development with LlamaIndex, Google AI, Gemini Pro and Qdrant

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Master building multimodal RAG applications using LlamaIndex, Google AI Studio SDK, and Gemini models to extract and process information from images with Qdrant vector storage integration.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG - How to Extract Information from PDF with LlamaIndex and OpenAI GPT-4

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Master PDF information extraction techniques using LlamaIndex and GPT-4, enabling efficient document processing and data retrieval through practical implementation steps.
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1 Lesons
18 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG: Building Document Question-Answering with Nvidia NIM and LlamaIndex Integration

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Descubre cómo implementar RAG utilizando LlamaIndex y Nvidia NIM para interactuar con documentos privados, integrando LLama 3.2 3B y Phi3 3.5 Small para procesamiento de lenguaje natural.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG Integration with Nvidia NIM and LlamaIndex - Building Document Query Applications

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Explore building a RAG application using LlamaIndex and Nvidia NIM to effectively query private documents with LLama 3.2 3B and Phi3 3.5 Small 128k models.
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1 Lesons
20 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

RAG vs PEFT - Comparing LLM Domain Adaptation Methods

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Delve into LLM 도메인 적용을 위한 RAG와 PEFT 방식의 비교 분석과 SK브로드밴드의 실제 구현 사례를 통한 AWS 환경 구축 및 모델 개발 노하우
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1 Lesons
24 minutes
On-Demand
Free-Video
Cooper

Automating Dark Web CTI Reports with RAG Insight for MISP Sharing

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Discover how to automate Cyber Threat Intelligence reports from the dark web using RAG Insight, enabling efficient MISP sharing and enhanced threat detection capabilities.
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1 Lesons
22 minutes
On-Demand
Free-Video
Conf42

Automated Evaluation for RAG Chatbot or Other Generative Tool - Conf42 LLMs 2024

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Explore automated evaluation techniques for RAG chatbots and generative tools, covering string matching, semantic similarity, LLM-led evals, and grading rubrics.
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12 Lesons
14 minutes
On-Demand
Free-Video
Conf42

The Power of GenAI: Generate Growth and Innovation with Data

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Explore how GenAI and data drive innovation, growth, and personalized experiences. Learn about RAG, vector embeddings, and building data foundations for AI applications.
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21 Lesons
25 minutes
On-Demand
Free-Video
Conf42

Measuring Hallucinations in RAG - Retrieval Augmented Generation

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Explore techniques to measure and mitigate hallucinations in Retrieval-Augmented Generation (RAG) systems, with practical examples and insights on improving LLM-based applications.
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16 Lesons
20 minutes
On-Demand
Free-Video
Conf42

AI-Augmented Platform Engineering

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Explore AI-augmented platform engineering: principles, components, evolution, and real-world applications. Learn to implement domain-specific RAGs for enhanced developer experience in BFSI.
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10 Lesons
23 minutes
On-Demand
Free-Video
Shaw Talebi

How to Improve LLMs with RAG - Overview and Python Code

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Learn to enhance LLMs using Retrieval Augmented Generation (RAG). Explore its principles, implementation, and practical application in improving a fine-tuned model for YouTube comment responses.
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9 Lesons
22 minutes
On-Demand
Free-Video
Unify

Unify Project Demo - RAG Playground with LangChain

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Explore a LangChain RAG Playground for document analysis, comparing LLM performance across providers for optimal speed, latency, and cost using dynamic routing.
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1 Lesons
11 minutes
On-Demand
Free-Video
Snorkel AI

Conquer RAG Retrieval Errors: 5-Step Tuning Process in Snorkel Flow

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Optimize RAG retrieval with a 5-step tuning process in Snorkel Flow. Learn to identify errors, improve document chunking, and enhance embedding models for better accuracy and performance.
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1 Lesons
15 minutes
On-Demand
Free-Video
Snorkel AI

Digging Into RAG and the Future of AI - With Douwe Keila

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Explore RAG applications, AI's enterprise future, and the role of data in improving AI systems with industry experts Alex Ratner and Douwe Keila.
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1 Lesons
27 minutes
On-Demand
Free-Video