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Learn to build AI personal assistants using LangChain agents, interact with APIs and tabular data, and explore advanced LLM applications in this Q&A session with industry experts.
Learn to build a GPT-4 powered chatbot for analyzing multiple PDF files, using LangChain and Pinecone. Includes code walkthrough and demo with Tesla's annual reports.
Learn to build a chatbot that interacts with a 56-page legal PDF using GPT-4, LangChain, and Pinecone. Explore the architecture, code implementation, and frontend interface creation for this powerful document analysis tool.
Learn to build scalable AI applications with LangChain for JavaScript/TypeScript. Covers key components, usecases, and techniques for creating chatbots, personal assistants, and question-answering systems using large language models.
Learn to build an AI customer support chatbot using mendable.ai, cutting costs by up to 30%. Includes platform walkthrough, live demo, and code explanation for quick, affordable implementation.
Learn to analyze financial reports with images using GPT-4 Vision and LangChain. Explore multimodal RAG techniques, codebase implementation, and result evaluation for enhanced document analysis.
Learn to build and evaluate RAG applications using AIConfig in VS Code. Transform your editor into a prompt IDE for efficient AI development, testing, and optimization.
Learn to measure and enhance LLM product performance using Context.ai's evaluation platform. Discover effective testing, analytics, and optimization techniques for AI-powered applications.
Discover how to build production-ready AI agents using LangGraph's framework, covering state management, memory persistence, and human-in-the-loop features through practical examples and visual explanations.
Learn to build an AI chatbot agent that analyzes PDFs, makes autonomous decisions, and performs web searches using LangGraph, a framework for creating reliable and customizable AI agents with memory and external API capabilities.
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