🦥Efficient LLM Training with Unsloth-Episode 1

Show notes: Today we chat about AI Training with (un)Supervised Learning and Daniel from Unsloth.ai

The good stuff- Unsloth

⁠https://www.unsloth.ai

⁠ ⁠https://ko-fi.com/unsloth⁠

⁠https://github.com/unslothai⁠

In this episode of Unsupervised Learning, host Renee interviews Daniel, the co-founder of Unsloth, an AI training system that fine-tunes language models 30 times faster.

They discuss Daniel's beginnings at Nvidia, his passion for making AI accessible and efficient, and his ultimate vision of creating a personal ChatGPT for everyone that operates on local machines. Daniel explains the concept of Retrieval Augmented Generation (RAG) as a knowledge injection system and elaborates on the current uses and future plans for Unsloth. The episode also touches on the issues with representing maths in language models and the misconceptions people have about working with large language models.

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