I usually have so many meetings that I would need to be the 10x programmer to keep two jobs, and it would be completely impossible to keep three jobs. So, for the employers in my bubble, this problem is already solved.
A tool like ChatGPT could be very helpful if it could read the entire documentation in the company and answer the questions about it. Something like search, except you do not need to remember the exact keywords, and it can search across all the systems the company uses (Sharepoint, Confluence, random Word and Excel and Powerpoint documents...). If it could look at the date when the document was modified, and conclude that if the same information is duplicated in many places, the one with most recent date of modification is probably the most correct one. Asking it to listen to the meeting and give me the summary would probably be more useful then reading the official summary.
Put it into ElasticSearch index and give GPT-4 simple query API that it can use by adding some prefix and predefined set of parameters or a JSON so the script would run it instead of communicating this back to the user and give an answer as user response with also predefined prefix. Then it should be able to get questions, search for info, and respond. Worked like a charm for a product database in PoC so should work for documentation.
Yeah, you can do that. How many characters is all that text, combined? Up to ~100k, it just fits in the context window. If it’s more than that, have it describe the contents of each file; then give it the question and the list of descriptions, ask it which files to put into context, and then have it answer from that.
I usually have so many meetings that I would need to be the 10x programmer to keep two jobs, and it would be completely impossible to keep three jobs. So, for the employers in my bubble, this problem is already solved.
A tool like ChatGPT could be very helpful if it could read the entire documentation in the company and answer the questions about it. Something like search, except you do not need to remember the exact keywords, and it can search across all the systems the company uses (Sharepoint, Confluence, random Word and Excel and Powerpoint documents...). If it could look at the date when the document was modified, and conclude that if the same information is duplicated in many places, the one with most recent date of modification is probably the most correct one. Asking it to listen to the meeting and give me the summary would probably be more useful then reading the official summary.
Put it into ElasticSearch index and give GPT-4 simple query API that it can use by adding some prefix and predefined set of parameters or a JSON so the script would run it instead of communicating this back to the user and give an answer as user response with also predefined prefix. Then it should be able to get questions, search for info, and respond. Worked like a charm for a product database in PoC so should work for documentation.
Yeah, you can do that. How many characters is all that text, combined? Up to ~100k, it just fits in the context window. If it’s more than that, have it describe the contents of each file; then give it the question and the list of descriptions, ask it which files to put into context, and then have it answer from that.