GenAI & LLMs | Video 1 | Part 2 | LLMs Introduction | Venkat Reddy AI Classes
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Welcome to our comprehensive introduction to Large Language Models (LLMs)! In this video, we’ll guide you through setting up and interacting with LLMs using OpenAI and LangChain frameworks. Whether you're new to AI or looking to enhance your skills, this tutorial is perfect for you.
Setting Up: We start by creating a new notebook in Google Colab and sharing the link so you can follow along in real-time.
Package Installation: Learn how to install essential packages including openai and langchain.
LangChain Framework: Discover how LangChain simplifies interactions with various LLMs and facilitates switching between models like OpenAI, CoPilot, and Cohere.
API Key Configuration: Step-by-step instructions on obtaining and configuring API keys for OpenAI and Cohere to authenticate your requests.
Basic Coding Example: Write your first code to interact with an LLM by asking simple questions and analyzing responses.
Sentiment Analysis: Implement a sentiment analysis prompt to showcase how LLMs can be used for practical applications.
Handling Errors: Troubleshoot common issues related to API keys and model invocations.
Tips for Effective Prompt Engineering: Understand the five crucial elements for crafting effective prompts - Role, Example, Domain, Display, and Iterations (RED DI).
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⭐️ Timestamps ⭐️
0:00:00 Intro
0:00:46 Accessing Opensource LLM APIs
0:06:58 Basic prompt code running explanation
0:39:00 Prompt desining
Key Points:
Start by installing necessary Python packages for interacting with LLMs.
Introduction to LangChain framework and its benefits for working with different LLMs.
Detailed process of setting up API keys for OpenAI and Cohere.
Hands-on coding examples for basic queries and sentiment analysis.
Tips on crafting effective prompts for better interaction with LLMs.
Connect With Us:
Join us in this tutorial to explore the fascinating world of Large Language Models. By the end of this video, you'll have a solid foundation to start building your own AI applications using LLMs. Don't forget to like, share, and subscribe for more tutorials!
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