How to Improve your LLM? Find the Best & Cheapest Solution

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): https://learn.activeloop.ai/courses/llms/?utm_source=social&utm_medium=youtube&utm_campaign=llmcourse

With the great support of Cohere & Lambda.
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How to start in AI/ML - A Complete Guide:
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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