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β€ŽREADME.mdβ€Ž

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A comprehensive full-day workshop covering the fundamentals and advanced concepts of Large Language Models (LLMs), from theoretical foundations to practical implementation and deployment strategies.
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> [!Note]
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> Visit [workshop website](https://raghavbali.github.io/mastering_llms_workshop/) @ (https://raghavbali.github.io/mastering_llms_workshop/)[https://raghavbali.github.io/mastering_llms_workshop/] to navigate with ease
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## Workshop Details
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πŸ“… **Date:** August 23rd 2025
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πŸ“ **Venue:** [TBD - Workshop Venue]
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🎟️ **Registration:** [Workshop Link](https://www.analyticsvidhya.com/datahacksummit-2025/workshops/mastering-llms-training-fine-tuning-and-best-practices-2)
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<img src="./assets/llm_training_lifecycle.png">
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<img src="./docs/assets/llm_training_lifecycle.png">
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## Modules
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- Instruction Tuning
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- LLM alignment or Performance Tuning using RLHF/PPO
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### Module 05: LLM Ops
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### Module 04: LLM Ops
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- RAG
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- LangChain
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- DSpy
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- Tool/Function Calling
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- MCP
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<details>
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<summary>## Setup Instructions</summary>
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### Prerequisites
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Before attending the workshop, please ensure you have the following installed:
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Before attending the workshop, please ensure you have the following:
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### Access/Services
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- [Huggingface.co](https://huggingface.co/)
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- [Github.com](https://github.com/)
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- LLM API Keys:
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- OpenAI/Gemini/Claude OR
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- [Ollama](https://ollama.com/) for local LLMs
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```bash
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# Clone the repository
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- [Code/Github Repo](https://github.com/raghavbali/llm_workshop_dhs23)
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## Thanks
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A huge round of thanks to amazing teams at:
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<div align="center" style="display: flex; justify-content: center; align-items: center; gap: 20px;">
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<img src="./docs/assets/00_hf.svg" alt="Hugging Face" style="height: 80px; border-radius: 50%; padding: 2px; background: white;">
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<img src="./docs/assets/00_ollama.png" alt="Ollama" style="height: 80px; border-radius: 50%; padding: 2px; background: white;">
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<img src="./docs/assets/00_unsloth.jpeg" alt="Unsloth" style="height: 80px;">
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<img src="./docs/assets/dspy_logo.png" alt="Ollama" style="height: 80px;">
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<img src="./docs/assets/00_chroma.webp" alt="Chroma" style="height: 80px;">
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<img src="./docs/assets/00_mcp.png" alt="Model Context Protocol" style="height: 80px; border-radius: 50%; padding: 2px; background: white;">
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</div>
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## Citation
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If you use materials from this workshop in your research or projects, please cite:
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For questions about the workshop content or materials, please [open an issue](https://github.com/raghavbali/mastering_llms_workshop_dhs2025/issues) in this repository.
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**Author:**
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- πŸ’Ό **LinkedIn:** www.linkedin.com/in/baliraghav
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- 🌐 **Website:** https://raghavbali.github.io/
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- πŸ’Ό **LinkedIn:** [www.linkedin.com/in/baliraghav](www.linkedin.com/in/baliraghav)
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- 🌐 **Personal Website:** [https://raghavbali.github.io/](https://raghavbali.github.io/)

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