11–20 of 34 posts
I was going to work on something similar, I'm glad I procrastinated.
https://engineering.fb.com/2017/03/29/data-infrastructure/fa...
Does this use Faiss to find similar vectors? https://engineering.fb.com/2017/03/29/data-infrastructure/fa...
I wrote a blog a few weeks ago on how LLMs will enable ‘Context Warehouses’ for work. Looks like they may be realised even sooner than I thought! https://macroapp.io/blog/the-context-warehouse
I think one disadvantage of pulling “context” is that you don’t really know what exists. You can get context for things you have an idea about, but not necessarily all the context you need.
Im not saying lots of meetings are necessarily great but you’re essentially indexing the information by listening.
Generally speaking though I like the idea of ingesting things as quickly as possible and then giving people strong tools to get what they need on demand.
Self service BI would be a solved problem. No more building tedious widgets, but simply ask ChatGPT or similar for 'last 5 yours pNl by business unit'. Bonus points if based on cardinality, etc. it will properly choose the correct chart type (e.g.: stacked bar).
Slightly off topic: you see in the article one with a generic Engineering title (Egor) and one with fancy massive title CEO and Co-founder (Paul), while I’m almost certain that article and the work behind done by the engineering dude yet he’s not even given a proper title -at least of external marketing- while the other is piggybacking on that work. I saw that kind of behavior a lot especially in software companies,…
As for the work behind, copple made significant edits and additions (as I thought of them) to my draft, so i decided add him as coauthor (just to make sure: I wasn’t asked by anyone and copple only noticed this after publication)
Slightly tangent, but it would be really powerful to be able to train a model (through LoRa probably) on your datawarehouse, having table structures of facts and dimensions. Self service BI would be a solved problem. No more building tedious widgets, but simply ask ChatGPT or similar for 'last 5 yours pNl by business unit'. Bonus points if based on cardinality, etc. it will properly choose the correct chart type (e.g…
This reads like Langchain implementation of "chat with your documents". Just that in this case instead of a standalone hosted chatbot, you do this from ChatGPT and can combine it with everything else ChatGPT might know.
How is this considered private? When you use OpenAI's embedding model then aren't you already sending data to OpenAI? This reads like Langchain implementation of "chat with your documents". Just that in this case instead of a standalone hosted chatbot, you do this from ChatGPT and can combine it with everything else ChatGPT might know.