Oncology RAG App - Powered by Meditron 7B Medical LLM

Dive into the future of medical technology with my latest tutorial: "Oncology RAG App - Powered by Meditron 7B Medical LLM". In this video, I'll take you through the innovative world of Meditron, a cutting-edge suite of open-source medical Large Language Models (LLMs).

🧬 Meditron-7B, the star of this tutorial, is a 7 billion-parameter model, meticulously adapted for the medical domain. It's evolved from Llama-2-7B and has been further enhanced by training on a diverse medical corpus, including authoritative PubMed articles, medical guidelines, and more. This model doesn't just match its predecessors; it outperforms them in multiple medical reasoning tasks.

💡 Key features:

1. PubMedBERT Embeddings: Discover how this fined-tuned model, using sentence transformers, enhances the app's ability to understand complex medical text, offering superior performance in clustering and semantic search.
2. Orchestration Framework: I'll show you how long-chain simplifies prompts, preprocessing, and more, making your experience seamless.
3. Qdrant Vector Database: Learn about the integration of qdrant in a Docker container for efficient embedding storage and retrieval.

🖥️ Everything runs locally on your CPU and is completely open source.

📈 Whether you're a medical professional, a tech enthusiast, or someone interested in the intersection of Generative AI and healthcare, this tutorial is packed with valuable insights.

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GitHub Repo: https://github.com/AIAnytime/Medical-...
HF LLM Repo: https://huggingface.co/epfl-llm/medit...
HF Embedding Repo: https://huggingface.co/NeuML/pubmedbe...
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