ChatGPT & LLMs: A Practical Starter's Guide to Language Chains

Would you like to do something more than just create prompts for ChatGPT? How about building an application? An application that utilizes the power of generative AI. From scratch! All you need is Python knowledge, your laptop, and an open mind.Sounds great? Or maybe you are afraid there is too much hype about ChatGPT? If so - that's good - we will cover the tricky bits and pitfalls as well!Who is this course for?Ideal for those with programming experience (preferably in Python) who are eager to explore ChatGPT-driven LLM applications.Agenda:IntroductionExploring various LLMs to find the right fit.Intro to Langchain.Using Chains and Agents (Hands-on)LangChain API and context management.External API integrations.Chains vs. Agents.Question Answering over Documents (Hands-on)Basics of embeddings.Vector databases overview.Document-to-vector strategies and challenges.Building a simple app with ChatGPT, VectorDb, and Langchain.Creating Reasoning Agents (Hands-on)Dynamic decision-making.Integration with tools like Google Search and Wolfram Alpha.SummaryEnhancing accuracy and safety: self-querying, hallucination checking.LLM in production: key challenges.Potential tuning: embeddings, inference, accuracy cost.This workshop is a deep dive into the development of ChatGPT-powered applications, providing practical, hands-on experience with the latest tools and techniques.