Beginner's Guide to Building with Open Source LLM
Beginner's Guide to Building with Open Source LLM
25 Jun 202413:06pm - 25 Jun 202414:06pm
Beginner's Guide to Building with Open Source LLM
About the Event
Join this session for a comprehensive introduction to building applications with open-source Large Language Models (LLMs). We will cover essential concepts, including the intuition behind LLMs, tokenizers, encoders, and decoders, as well as the distinctions between encoder-decoder models.
Topics include quantization techniques, fine-tuning methods like LoRA and adapters, and alignment strategies including RHLF, DPO, PPO, and ORPO. Additionally, we'll discuss Retrieval-Augmented Generation (RAG) and key metrics for evaluating LLMs. We'll also address the drawbacks of using open-source LLMs and provide practical solutions to overcome these challenges. This session is designed to equip beginners with the knowledge and tools to effectively build applications using open-source LLMs.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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