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Day 5: Retrieval-Augmented Generation (RAG)

Enhancing LLMs with real-time knowledge retrieval to boost accuracy and reduce hallucinations.

📚 What You'll Learn:

Understanding RAG and its applications

Integrating external knowledge sources

Building a simple RAG system using FAISS and Hugging Face

Testing the system with custom queries

🚀 Why It Matters:

RAG bridges the gap between static LLMs and dynamic information, making AI responses more reliable and context-aware.

🔗 Join the Learning Journey:

Follow @Shailendra Prajapati for daily insights into LLMs and AI advancements.

#AI #MachineLearning #LLM #RAG #DataScience #ArtificialIntelligence #DeepLearning #KnowledgeRetrieval #FAISS #HuggingFace #LangChain #OpenAI #TechInnovation #Code4GreenAI

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