331–340 of 525 posts
Business opportunity: I'd pay money for NICE desktop software that can run all these different models (non-subscription, "2-year updates included, then discount pricing" modal perhaps). My wishlist: - Easy plug & play model installation, and trivial to change which model once installed. - Runs a local web server, so I can interact with it via any browser - Ability to feed a model a document or multiple documents and…
Works nearly out of the box with llama.cpp, which makes it easy to try locally: https://github.com/ggerganov/llama.cpp/issues/2766 Here's some output from q4_0 quantization of CodeLlama-7b-Python (first four lines are the prompt): # prints the first ten prime numbers def print_primes(): i = 2 num_printed = 0 # end of prompt while num_printed It will be interesting to see how the larger models perform, especially afte…
I'd fail an interview candidate that suggested adding 1 each time for subsequent prime testing
My suggestion for your next interview: decide to hire them just based on their leetcode score, but invite to the interview just to flex that you're still better at puzzle solving :-D
Perfect
Works nearly out of the box with llama.cpp, which makes it easy to try locally: https://github.com/ggerganov/llama.cpp/issues/2766 Here's some output from q4_0 quantization of CodeLlama-7b-Python (first four lines are the prompt): # prints the first ten prime numbers def print_primes(): i = 2 num_printed = 0 # end of prompt while num_printed It will be interesting to see how the larger models perform, especially afte…
I'd fail an interview candidate that suggested adding 1 each time for subsequent prime testing
Business opportunity: I'd pay money for NICE desktop software that can run all these different models (non-subscription, "2-year updates included, then discount pricing" modal perhaps). My wishlist: - Easy plug & play model installation, and trivial to change which model once installed. - Runs a local web server, so I can interact with it via any browser - Ability to feed a model a document or multiple documents and…
Business opportunity: I'd pay money for NICE desktop software that can run all these different models (non-subscription, "2-year updates included, then discount pricing" modal perhaps). My wishlist: - Easy plug & play model installation, and trivial to change which model once installed. - Runs a local web server, so I can interact with it via any browser - Ability to feed a model a document or multiple documents and…
What I want is even simpler: just an API that you make requests to and receive answers back. Surprisingly hard to find, outside OpenAI that is.
Between this, ideogram.ai (image generator which can spell, from former Google Imagen team member and others), and ChatGPT fine-tuning, this has been a truly epic week. I would argue that many teams will have to reevaluate their LLM strategy _again_ for the second time in a week.
Did ideogram release a checkpoint?
Business opportunity: I'd pay money for NICE desktop software that can run all these different models (non-subscription, "2-year updates included, then discount pricing" modal perhaps). My wishlist: - Easy plug & play model installation, and trivial to change which model once installed. - Runs a local web server, so I can interact with it via any browser - Ability to feed a model a document or multiple documents and…
Curious if there are projects to enable working with these things self-hosted, tuned to a git repo as context on the cli, like a Unix filter - or with editors like vim? (I'd love to use this with Helix) I see both vscode and netbeans have a concept of "inference URL" - are there any efforts like language server (lsp) - but for inference?
Does anyone have a good explanation for Meta's strategy with AI? The only thing I've been able to think is they're trying to commoditize this new category before Microsoft and Google can lock it in, but where to from there? Is it just to block the others from a new revenue source, or do they have a longer game they're playing?
Meta by democratizing AI access is generating more capable developers which will make the Metaverse a reality, where FB leads. They have already realized they have a losing gambit with Google, Apple, Microsoft (also X?) having an antagonistic monopoly against Meta product advancement