Scaling Analytical Capabilities for Increasing Client Demand
Explore how NatWest Boxed leverages LLMs to create a text-to-SQL product, democratizing data access and scaling analytical capabilities to meet growing client demands.
Unify Project Demo - RAG Playground with LangChain
Explore a LangChain RAG Playground for document analysis, comparing LLM performance across providers for optimal speed, latency, and cost using dynamic routing.
Tutorial de Bases de Datos Vectoriales, LangChain y ChatGPT
Aprende a integrar bases de datos vectoriales, LangChain y ChatGPT para crear aplicaciones de IA avanzadas y eficientes.
Build Extensions and Extension-Powered Applications with Vertex AI
Explore building extensions and applications with Vertex AI, connecting LLMs to APIs for enhanced real-time data and actions in enterprise environments.
Connecting Gemini to Real-World Data Using LangChain's Open-Source Capabilities
Explore LangChain's integration with Vertex AI to connect LLMs to external data and APIs. Enhance natural language interactions, automate complex workflows, and create powerful chatbots using real-time data.
Create a Contextual Chatbot with LLM and Vector Database in 10 Minutes
Learn to build a contextual chatbot using LLM and vector database, exploring embedding, search, and answer generation with Langchain.
Creating a QA Tool Using Langchain, OpenAI, and Neo4J
Develop a QA tool using Langchain, Neo4J, and OpenAI models for advanced data science and machine learning applications.
Document Similarity: Langchain, Ollama Mistral 7B, and Chroma for Machine Learning and Data Science
Explore document similarity using Langchain, Ollama with Mistral 7B or LLama 2, and Chromadb as VectorStore for machine learning and data science applications.
Build an AI Social Media Content Generator with LangGraph and Llama 3.1 - Tutorial
Transform technical content into engaging social media posts using LangChain and Groq. Build a multi-agent AI system, generate and refine content, implement AI-driven critiques, and visualize workflows with LangGraph.
Putting an AI-Powered Data Analyst to the Test
Evaluate an AI-powered analyst prototype across beginner to advanced analytics queries, showcasing its capabilities in data analysis and interpretation.
Reimagining Recommendation Engines with OpenAI Function Calling, Langchain, and LLMs
Explore AI-powered travel recommendations using OpenAI, Langchain, and APIs. Learn to create personalized suggestions for ideal weather experiences and envision the future of AI assistants in service industries.
Building Local AI Agents with LangGraph and Ollama
Explore building local AI agents using LangGraph and Ollama. Learn integration techniques, code implementation, and compare with vLLM. Gain insights on Ollama's effectiveness for agent development.
Building Your First Python LLM App - A Tutorial on Cloning and Customizing
Clone and adapt a prototype flight search app using OpenAI, Langchain, and live data to build your own LLM-powered application.
AI Agent - Open-Source Perplexity Alternative Using LangGraph and Advanced Prompt Engineering
Explore Jar3d, an open-source AI agent using LangGraph and advanced prompt engineering. Learn to build a Perplexity alternative with Llama 3.1 for research-intensive tasks and local operation.
Question Answering over Documents with RAG - Lecture 6.4
Explore Retrieval-Augmented Generation (RAG) to enhance LLMs with external data, improving accuracy and relevance in corporate settings. Learn to set up and query a RAG system using sample employee data.
Developing Local AI Copilots with LangChain, NVIDIA NIM, and FAISS - LLM App Development
Learn to build a local AI copilot using LangChain, NVIDIA NIM, and FAISS. Covers document processing, vector storage, inference with Llama 3, and LangChain orchestration for responsive LLM applications.
Lies, Damned Lies, and Large Language Models - Measuring and Reducing Hallucinations
Explore LLM hallucinations, measure misinformation using TruthfulQA dataset, and learn about retrieval augmented generation to enhance model reliability and accuracy.
Introduction to Retrieval-Augmented Generation (RAG) - Lecture 6.1
Explore Retrieval-Augmented Generation (RAG) for precise document-based Q&A using LLMs and LangChain. Learn about retrieval, augmentation, and generation phases to enhance model accuracy.
AgentWrite with LangGraph - Converting and Extending LLM Agents
Learn to convert AgentWrite to a LangGraph agent, exploring dataset generation, flow, prompts, and potential extensions for enhanced AI writing capabilities.
Retrieval-Augmented Generation: Enhancing AI Models - Lecture 7
Explore Retrieval-Augmented Generation (RAG): theory, components, and practical implementation. Enhance AI models' capabilities with this comprehensive overview for beginners and enthusiasts alike.
Build a Q&A App with RAG Using Gemini Pro and LangChain
Learn to create an intelligent Q&A app using Retrieval-Augmented Generation, Gemini Pro, and LangChain. Master advanced retrieval techniques to enhance chatbot performance and build a powerful AI-driven application.