In this video, we dive into the world of large language models (LLMs) and discover the optimal techniques for your specific tasks! Learn when to choose between training from scratch, fine-tuning, (advanced) prompt engineering and Retrieval Augmented Generation (RAG) with Activeloop’s Deep Memory. Equip yourself with the knowledge to enhance LLM performance, balancing quality, costs, and ease of use. ✨🚀
► Jump on our free LLM course from the Gen AI 360 Foundational Model Certification (Built in collaboration with Activeloop, Towards AI, and the Intel Disruptor Initiative): learn.activeloop.ai/courses/l...
With the great support of Cohere & Lambda.
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Chapters:
0:00 When do what with LLMs?
0:20 What are the techniques available?
1:24 Improve your model with prompt engineering!
2:12 RAG and Deep Memory!
3:04 Fine-tuning LLMs (LoRa and QLoRa).
5:41 Training from scratch.
8:20 Conclusion.
#ai #languagemodels #llm
Негізгі бет Ғылым және технология How to Improve your LLM? Find the Best & Cheapest Solution
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