Uploaded January 2024 | Updated September 2026, 4 days ago

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Learn how to easily switch between LLMs in Langchain for your Python applications: OpenAI's GPT-4, Amazon Bedrock (Claude V2), and Google Gemini Pro.

Or if none of these suit your needs, you can also implement your own interface.

📚 Chapters
00:00 Introduction
01:43 Getting Started
03:18 Creating the Base App
05:33 How To Use OpenAI GPT-4
07:42 How To Use Claude/Llama2 (via AWS)
09:33 How To Use Google Gemini Pro
10:27 Custom LLMs

👉 Links
🔗 Code: github.com/pixegami/langchain-custom-llms
🔗 Langchain LLMs: python.langchain.com/docs/integrations/llms
🔗 Custom LLM: python.langchain.com/docs/modules/model_io/llms/custom_llm
🔗 AWS Bedrock: aws.amazon.com/bedrock
🔗 Google AI API: makersuite.google.com/app/apikey
🔗 How to Get Started with AWS: youtu.be/LFCTFzcMQuA