If you're talking about their proxy offering, I had this exact same issue and switched to Portkey. I just use their free plan and don't care about the logs (I log separately on my own). It's way faster (probably cause their code isn't garbage like the LiteLLM code - they had a 5K+ line Python file with all their important code in it the last time I checked).
Yeah, as someone who started with Costco rice and slowly moved up the quality chain, there is a clear difference in taste between even average Japanese rice and most Costco rice. It would be interesting to see a price/quality comparison between the U.S. and Japanese Costcos though.
Yeah, in case anyone else has the misfortune of having to work with multi-dimensional data in MATLAB, I'd recommend the Tensor Toolbox, Tensorlab, or the N-way Toolbox.
It is not, other than sometimes in the case of equal contribution. The first and sometimes second authors are the most important, and the last author is often the advisor/senior researcher supervising the work.
Has anyone actually tried any of these AI interview tools? From their website, it looks like the interviews are extremely short (max duration of 20 minutes?), even if you pay $55+/mo, which really limits its utility.
The downside of this approach is that it can affect the search results returned. But I found that if you add " -fuck" or " -fucking" to your search term, it disables the AI summary without significantly affecting your search results (unless you happen to be looking for content of a certain kind).
Is there distributed server support? I see it on the list of new features with (currently PoC) next to it, but is the code for the PoC available anywhere?
Also, would there be any potential issues if the index was mounted on shared storage between multiple instances?
The content and idea of the article are interesting but the writing is so terrible that I couldn't bring myself to finish it. The article is clearly written/augmented poorly by AI because of how many meaningless paragraphs (that convey absolutely zero information) there are.
Yeah, this is the main issue with the suggestion. Embeddings can only be compared to each other if they are in the same space (e.g., generated by the same model). Providing embeddings of a specific kind would require users to use the same model, which can quickly become problematic if you're using a closed-source embedding model (like OpenAI's or Cohere's).
Had the same thought - it's also annoying to update the PDF once links die, so I doubt that'll happen often. I guess it might be helpful if you want it as a coffee table book...
Would love it if it was available and open source so people could use it in their own projects (or on their own hardware), instead of only being available on Intel's AI Cloud. But cool idea and execution nevertheless!
But then you have a paid "featured" tier, along with a leaderboard showing the most upvoted ones. How is this different from ProductHunt in the end? Isn't it still pay to win?