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AI for AWS Documentation

awsdocsgpt.com

21–30 of 134 posts

Re: AI for AWS Documentation

#21
Using ChatGPT for AWS service questions is actually pretty good. For instance, I asked it for a Cloud Practitioner study guide (using a small set of crafted prompts), and GPT performed quite well. While I have yet to query GPT about Solutions Architect or DevOps material, I know I can feed a set of URLs and GPT will "learn" the material and summarize it in ways meaningful and relevant to my prompts. In this way, ChatGPT is quite a powerful assistant on its own.

Re: AI for AWS Documentation

#23
post #8

Prompt: What is glacier? Glacier is a term that is not directly mentioned in the provided sources. Prompt: What is a glacier? A glacier is a large mass of ice that moves slowly over time due to the accumulation of snow, ice, and other forms of frozen precipitation. Seems like it’s just using a general model?

It's definitely just using standard semantic search (otherwise you wouldn't be getting links). "What is glacier storage" gives you a great response.

If they finetuned the model on AWS docs, would the embeddings, and thus the vector search improve?

Re: AI for AWS Documentation

#26

The problem is garbage in -> garbage out. When the docs are wrong or misleading you'll still get burned, even if the model doesn't hallucinate responses

Agreed, that's the problem eod. Was trying to set up an instance a few days ago and the docs for it hadn't been updated since '21

Re: AI for AWS Documentation

#29
post #23

Earlier quoted context omitted.

It's definitely just using standard semantic search (otherwise you wouldn't be getting links). "What is glacier storage" gives you a great response.

If they finetuned the model on AWS docs, would the embeddings, and thus the vector search improve?

Most likely, the model would be less inclined to answer questions/hallucinate for prompts not related to AWS—this is definitely be a future path for improvement
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