课程: Generative AI: Working with Large Language Models
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GitHub models
- [Narrator] Imagine asking two teachers to explain the same mathematics problem to a class. Now each of them might have a different approach to solving the problem. And it's like that with large language models. You can provide the same text or prompt and get a different response from the large language model. GitHub models let us easily compare two large language models. You'll need a GitHub account, and you can sign up for one by going to github.com. And once you have an account, head over to github.com/marketplace. And here you can just select Models over on the left, and then you can select models based on the different providers, their capability, and then their functionality, so things like whether you need a model that has low latency, whether you want a model that can handle multiple languages, and so on. Now the OpenAI models, in general, are pretty good. So I'm going to use the GPT?4o mini as my benchmark, and I want to compare this to one of the smaller models. And so…
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内容
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GPT-34 分钟 32 秒
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GPT-3 use cases5 分钟 27 秒
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Challenges and shortcomings of GPT-34 分钟 17 秒
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GLaM3 分钟 6 秒
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Megatron-Turing NLG Model1 分钟 59 秒
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Gopher5 分钟 23 秒
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Scaling laws3 分钟 14 秒
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Chinchilla7 分钟 53 秒
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BIG-bench4 分钟 24 秒
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PaLM5 分钟 49 秒
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OPT and BLOOM2 分钟 51 秒
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GitHub models2 分钟 43 秒
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Accessing Large Language Models using an API6 分钟 25 秒
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Inference time vs. pre-training4 分钟 5 秒
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