NVIDIA NIM Integration with Langchain for RAG Q&A
Explore NVIDIA NIM integration with Langchain, creating a RAG Q&A system using Faiss for enhanced machine learning and data science applications.
Building Practical Projects with LLM - Tutorial for Beginners
Develop practical LLM projects: Set up Together AI, use document loaders, invoke LLMs, create prompt templates, and build LLM chains for summarization in this hands-on tutorial.
Bringing GenAI to the Modern Enterprise - A Production Use-Case in Serverless Java
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.
Java Meets AI: Build LLM-Powered Apps with LangChain4j
Explore LangChain4j framework to build AI-powered Java apps. Learn to integrate LLMs, generate images, and create advanced RAG systems. Dive into Quarkus integration for efficient development and deployment.
Java Meets AI - How to Build LLM-Powered Applications with LangChain4j
Learn to create AI-powered applications using Java, Spring Boot, and LangChain4j. Build chatbots, process unstructured data, and automate tasks with LLMs. Explore key components and best practices for developing efficient, personalized AI solutions.
Java Meets AI - A Hands On Guide to Building LLM Powered Applications with LangChain4j
Hands-on guide to integrating AI and Large Language Models into Java applications using LangChain4j, enabling developers to create powerful AI-driven solutions.
Introduction to Building AI Applications - LangChain 101
Explore LangChain for AI app development, covering key concepts, tools, and practical applications to enhance your skills in building intelligent systems.
Building a Voice-Enabled AI Assistant With Javascript
Learn to create a Jarvis-like AI assistant using Web APIs and langchain in this live coding session, exploring voice-enabled AI integration with JavaScript.
Language Model Zen
Explore the frontier of AI Language Models, understanding their nature and various approaches to using them. Discover tools like TransformerLens and learn about options from prompt engineering to fine-tuning.
Prompt Templates for GPT-3.5 and Other LLMs - LangChain
Learn to create effective prompts for language models using LangChain's PromptTemplates and FewShotPromptTemplates. Explore example selectors and best practices for prompt engineering in this hands-on tutorial.
Practical GraphRAG - Making LLMs Smarter with Knowledge Graphs
Discover how to enhance LLM accuracy using knowledge graphs, exploring GraphRAG implementation with Neo4j and LangChain for improved context-aware AI responses and reduced hallucinations.
Understanding LangChain Agents and Tools with SMS Integration
Discover how to leverage LangChain Agents and Tools for advanced LLM applications, focusing on integration with communication APIs and practical implementation strategies.
Elasticsearch Vector Database and RAG Capabilities - A Technical Demonstration
Dive into Elasticsearch's vector database capabilities, focusing on RAG implementation, memory optimization, multi-stage search approaches, and seamless integration with LLMs for enhanced data retrieval.
Creating a Q&A Tool with Langchain and OpenAI
Create a Q&A tool using Langchain and OpenAI for machine learning and data science applications. Learn to implement this powerful combination for efficient question-answering systems.
Langchain: QA and RAG Components with Your Own Data
Build QA and RAG components using Langchain to integrate custom data for enhanced machine learning and generative AI applications.
LLM Observability and Evaluations
Explore LLM-Powered app development using LangChain and LlamaIndex. Learn to debug high-level abstractions with Arize Phoenix modules for streamlined development and maintenance.
LangChain: Enabling LLMs to Use Tools
Explore LLM tool usage: importance, types, prompting strategies, and challenges. Gain insights from LangChain's CEO on enhancing Language Model applications.
Building a Chatbot Web Interface Using Large Language Models and RAG
Dive into building chatbots with OpenAI models, exploring retrieval augmented generation (RAG), and learn practical implementation strategies for creating an effective knowledge base interface.
마이데이터 기반의 AI 금융 비서 - Private LLM과 보안 아키텍처
Explore SKT's innovative AI financial assistant service architecture, featuring Private LLM, LangChain, and Vector search technologies, with insights on securing sensitive MyData information.
Improving Cybersecurity Posture with an AI Security Assistant
Discover how AI security assistants leverage MITRE ATT&CK knowledge base and LangChain framework to enhance cybersecurity through advanced threat detection, mapping, and rapid response capabilities.
Future of LLMs and Machine Learning Productionization - Conf42 LLMs 2024
Explore the future of LLM deployment, traditional AI models in production, and generative AI application development using Langchain frameworks. Gain insights into MLOps and ChatGPT's impact.