AI for AWS Documentation
21–30 of 134 posts
Re: AI for AWS Documentation
#22Re: AI for AWS Documentation
#23Prompt: 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.
Re: AI for AWS Documentation
#24It invented an answer for something that AWS actually can't do right now. https://imgur.com/a/0IYZ2WV
https://www.phind.com/search?cache=d0b3a85b-17f9-4def-b8d0-b...
Re: AI for AWS Documentation
#25Just use Phind.com for searching developer docs for most cases.
Re: AI for AWS Documentation
#26The 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
Re: AI for AWS Documentation
#27Nice work! Would be even more useful to be able to have a conversation with it.
Re: AI for AWS Documentation
#28Re: AI for AWS Documentation
#29Earlier 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?
Re: AI for AWS Documentation
#30seems super useful, try this prompt: how do you use wrangler and glue to make athena tables using terraform