课程: Introduction to Large Language Models
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BERT
- [Narrator] If you're like me, the only time you watch dressage is every four years during the Summer Olympics. Now, whenever I've used Google search in the past, I've often only entered keywords such as dressage goal. It turns out that Google search uses BERT. BERT, which stands for bi-directional encoder representations from transformers is a large language model that was developed by Google. BERT is based on the transformer architecture and composed of transformer in coder layers which we looked at in a previous video. Since Google uses BERT, we get better language understanding. This means I don't just have to use keywords, but I can enter a question like, "What's the main objective of dressage?" And the answer back from Google doesn't just give me the most relevant page, but the answer to my question is highlighted. So the main objective of dressage is improving and facilitating the horse's performance of normal…
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BERT3 分钟 16 秒
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Scaling laws3 分钟 30 秒
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GPT-37 分钟 41 秒
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Chinchilla7 分钟 54 秒
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PaLM and PaLM 23 分钟 59 秒
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ChatGPT and GPT-45 分钟 47 秒
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Open LLMs5 分钟 40 秒
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Comparing LLMs3 分钟 35 秒
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GitHub Models: Comparing LLMs2 分钟 52 秒
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Accessing large language models using an API6 分钟 25 秒
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LLM trends4 分钟 6 秒
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