Fine-tuning generative large language models

In this presentation, we go over three fine-tuning techniques, namely (a) Instruction fine-tuning, (b) Domain adaptation fine-tuning, and (c) Reinforcement Learning with Human Feedback (RLHF), and explain when to use which one.

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Enhancing organization search capabilities with generative AI
Enhancing organization search capabilities with generative AI

Learn how you can leverage generative AI with RAG knowledge retrieval to seamlessly connect predictive main...

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Harnessing large language models (LLMs) for next-generation enterprise applications
Harnessing large language models (LLMs) for next-generation enterprise applications

This presentation will explore the role of large language model (LLMs) frameworks in bridging the gap betwe...