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Achievement: Pull Shark

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Yash8745/README.md

Hi there 👋 I am Yash Narang

yash8745

  • 🔭 Current Focus: Building and deploying Large Language Models (LLMs) in production environments
  • 🌱 Learning Journey: Deepening my knowledge in RAG pipelines | MLOps best practices | scalable AI systems
  • 👯 Collaboration Goals: Open to collaborating on production-grade ML/AI projects or innovative solutions
  • 💬 Ask Me About: Generative AI—RAG architectures, LLM optimization, fine-tuning strategies, or NLP !!!
  • 📫 Get in Touch: narangyash32@gmail.com

P.S. Always happy to discuss AI/ML—reach out via email or LinkedIn!

yash8745

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  1. Legal_Medical_RAG Legal_Medical_RAG Public

    Effortlessly distill 20,000+ page legal and medical documents into concise, using Gemini 2.0 Flash Pro AI-powered summaries with our cutting-edge RAG system and NLP pipeline.

    Python

  2. Agentic-AI Agentic-AI Public

    Unleash dynamic multi-agent intelligence that fuses smart web searches with real-time financial insights and seamless PDF wizardry. Powered by PhiData’s robust financial data Agents and using Llama…

    Python

  3. Finetuning_LLM Finetuning_LLM Public

    This is repository to finetuning LLM Like bert, bart, distillbert, t5, gpt2 for various task using supervised fine tuning, PEFT, Prompt Engineering and model running

    Jupyter Notebook

  4. ai-backend ai-backend Public

    Memopin is an AI-powered memory recall tool that uses advanced technologies like RAG, NLP, and LLMs to store, analyze, and retrieve key life moments, providing an organized, context-aware platform …

    Jupyter Notebook 1

  5. Chunking_RAG Chunking_RAG Public

    Comparing And Analizing Different Chunking Strategies for different Usecases

    Python

  6. Neural_Network_Scratch Neural_Network_Scratch Public

    Implementing Neural Network from Scratch only using basic mathematics

    Jupyter Notebook