How to Add DeepSeek LLM to Your Chat App Using AWS Bedrock

DeepSeek is a newly released open-source large language model (LLM) that promises high-quality reasoning at a lower cost compared to existing models like OpenAI's offerings and Gemini 2.0. The open-source nature of DeepSeek allows developers to access its architecture, training process, and weights, facilitating customization and deployment on their own infrastructure, thus optimizing data privacy and costs. The text explains how to deploy a smaller version of DeepSeek, the DeepSeek-R1-Distill-Llama-8B model, on AWS infrastructure using AWS Bedrock, which supports custom model deployments through a unified API. The process involves transferring the model from Hugging Face to an AWS S3 bucket and integrating it into a Stream Chat application using Python and React. The integration allows for a chatbot interface where users can interact with the DeepSeek model. The flexibility of this setup allows for easy swapping in and out of different LLMs as they become available, ensuring adaptability to the rapidly evolving landscape of AI models.