ChatGPT from Scratch: How to Train an Enterprise AI Assistant • Phil Winder • GOTO 2023 (AI column)

Interesting. speech Phil Winder, CEO of Winder.AI and author of the bookReinforcement Learning" In this video, the author talks basic about chatGPT and shows a funny demo with a fingerprinting model for writing lyrics, and then reads this created lyrics against the background of music generated by Stable Audio. If we go to the main content, The author begins with a brief history of LLM, where the author traces the evolutionary path of LLMs from their rudimentary forms to advanced architectures such as GPT.4How it affects the natural language processing area (NLP). Next he talks about the basic architecture and components of large language models (encoder-decoder in transformers and then only decoder as in GPT) Then we talk about the methods of preprocessing of data sets specific to the subject area, which lead to the creation of a highly specialized and effective LLM. Then comes the turn to strategies for effective and cost-effective model learning: from fine-tuning pre-trained models to learning from scratch. Finally, the author provides deployment recommendations for LLM, including the use of cloud services such as AWS and Azure. (And here he shows the demo.) The finale outlines security and ethical considerations when deploying an LLM in a business environment, including data privacy and model interpretability.

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