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Post
Created date
Apr 16, 2023 11:04 AM
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Data Science
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Machine Learning
Programming
Artificial Intelligence
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English
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Seminar
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At a recent event on Large Language Models (LLMs), Sam Witteveen, a Google Developer Expert for Machine Learning, spoke about the latest advancements in LLMs, including ChatGPT, GPT-4, and Bard, and other semi-open source models with different training regimes and datasets.
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Google-seminar-llm
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I joined a event on 13/04. At the event about Large Language Models (LLMs), Sam Witteveen, a Google Developer Expert for Machine Learning, spoke about the latest advancements in LLMs, including ChatGPT, GPT-4, and Bard, and other semi-open source models with different training regimes and datasets.
He highlighted the best models and techniques that set them apart from their predecessors, including the "Transformer" architecture, and "RLHF" or "Reinforcement Learning from Human Feedback". The event also showcased companies and organizations involved in LLM development, such as OpenAI, Google Chinchilla, Meta, Databrick, Cerebras, ElutherAI, Raven, Vicuna, and Koala.
In addition to discussing models and techniques, Sam also shared best practices for building LLM apps and APIs using frameworks like Langchain and Llama Index. He emphasized the value of using open source tools such as "Flan 20B", "LangChain", and "AutoGPT" for fine-tuning LLMs for specific tasks. Overall, the event provided a valuable learning experience for those interested in AI and natural language processing.
Here are key slides I took on the event:
Resources shared by Sam
- Author:Jason Siu
- URL:https://jason-siu.com/article/Google-seminar-llm
- Copyright:All articles in this blog, except for special statements, adopt BY-NC-SA agreement. Please indicate the source!
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