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LangChain Tutorial: Building Innovative LLM Powered Applications End-to-End

Futureproof Career through GENERATIVE AI ⚡️ Free Resources

Generative AI DataHour by - Bhushan Garware (AI Consultant @ Google) Large Language Models (LLMs) have undoubtedly revolutionized the landscape of Application Development. Whether it's building a Conversational AI Assistant, Automating Language-related Workflow, or Enhancing User Experiences, relying solely on LLM's capabilities in isolation often falls short of creating a truly powerful application. The real power of LLMs lies in their ability to be combined with other sources of information or computation. LangChain, a powerful open-sourced language model integration framework, bridges this gap by providing developers with a robust toolkit to integrate LLMs seamlessly. The session is targeted at individuals who are eager to unleash the potential of Generative AI. It will cover how to get started with LangChain, its core components, and a demonstration of end-to-end application development to reinforce your understanding of the core concepts. 🔥 Sections 0:00:00 Introduction 0:01:50 LangChain Use Case 0:08:27 Why LangChain? 0:10:23 What is LangChain? 0:11:49 Components 0:13:15 Models 0:20:19 Prompts 0:33:24 Chains 0:49:16 Indexes 0:54:48 Agents 1:04:15 Q & A 🔥 Who is this DataHour for? ---- Students & Freshers who want to build a career in the Data-tech domain. ---- Working professionals who want to transition to the Data-tech domain. ---- Data science professionals who want to accelerate their career growth ---- Basic understanding of LLM, Generative AI, & learning mindset 🔥 About the Speaker Bhushan Garware is currently working as an AI Consultant at Google. Before joining Google, he worked with Persistent Technologies for around 12+ years as a Technical Specialist. Bhushan is an accomplished professional with a strong background in biometrics, machine learning, and artificial intelligence. He holds a PhD in Fingerprint Biometrics from the University of Pune, Department of Technology, where he was awarded the Best PhD thesis, Gold Medal. His doctoral research focused on solving interoperability issues in fingerprint recognition systems, specifically addressing the challenges of matching fingerprint images captured from different sensors. Connect with Bhushan on Linkedin: https://www.linkedin.com/in/bhushan-garware #generativeai #langchain #chatgpt

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