Alexander Doria @Dorialexander
LLM for the commons. Co-founder @pleiasfr Joined April 2011-
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Same thing. There many interesting things to create with diffusion models but I notice Dalle3 immediately and hate it (to a lesser extent, MidJourney).
Same thing. There many interesting things to create with diffusion models but I notice Dalle3 immediately and hate it (to a lesser extent, MidJourney).
Contributing datasets will be a top way to support machine learning in 2024. @Dorialexander and @ana_stasenko are providing some of the best examples of this kind of work via @pleiasfr, as demonstrated by how regularly their datasets trend on the Hub.
I’m thinking to build conversational LLMs in this line, but "rather than" is insane. At the absolute best it would be a new way to interact with the text.
I’m thinking to build conversational LLMs in this line, but "rather than" is insane. At the absolute best it would be a new way to interact with the text.
Are there any collection of open recipes for synthetic data somewhere? May have stumbled on a cool idea, but not sure it's that original.
La Rasbaille @La_Rasbaille
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@CFGeek 1) it hides too much 2) it reuses terms in weird way like "compiler" 3) there is no simple example with full LLM calls transcript 4) it concatenates my prompt strings with hardcoded prompt strings as if this is not a big deal (it is) 5) it promises what is impossible to deliver
I still dont get why KTO would work. You have a bad sample but it could be worse, it could be pretty good but not as good as perfection, with no counter example of what good for that response looks like - why would the model learn the correct direction to move toward
Do LLMs as a judges, work outside of English? As part of Data is Better Together, we want to better understand how well (open) LLMs can work as judges of other LLMs for non-English LLMs. If anyone has experience/papers to suggest would love to hear it!
i have a dataset of vector pairs. millions of them. i want to use a diffusion model to learn to map vectors from one column to the other. i do not want to deeply understand diffusion. i do not want to get into the details. is there a way to do this? like sklearn for diffusion?
Am I the only freak who can 1000% detect AI-generated images and gets triggered by them each time? Like, I just saw one in a corporate blog about "AI for Good" and my eye literally started twitching.
not this again
Less than 12 hours ago, a mysterious new model "gpt2-chatbot" is released People are already coming up with wild use cases at GPT-4 level. 8 examples (and how to use it for free):
Turns out you can actually just run full 32k context on a single 3090 using vllm at higher precision (bf16). Just enable "fp8" cache dtype. This is for llama-3 8B
@Dorialexander someone should call their model tf-idf just to mess with future historians
One might think that, by now, people would realize that retrieving the solution to a common puzzle does not require any reasoning ability.
A mysterious chatbot has appeared on lmsys called "gpt2-chatbot". Many are speculating that this could be GPT-5. No one really knows, but its reasoning capabilities are absolutely stunning. We may be closer to ASI than ever before.
5 years since this pic was taken 3 leaders gone, only one left Pedro Sanchez always falls on his feet, he always manages to stay in power, you can’t defeat him Trust the plan
[domaine public] Le 30 avril 1993, le CERN renonce à la propriété intellectuelle sur l'invention du World Wide Web pour permettre à tout le monde de créer et visiter des sites web librement.
suddenly surrounded by gpt2... then u tell me gpt2 is not gpt-2 but gpt-4.5? ridiculous world...
@vanstriendaniel @Dorialexander @ana_stasenko @pleiasfr Datasets are underrated! More teams should be working on creating them, not just Phi & Cosmopedia. Still, it's kinda hard for 1 person to pull it off without support. (More on this in the chat in your DM) I suggest HF create a program to finance HQ datasets, esp. multilingual.
Breaking News: A purported 1.5B parameter model called GPT-2 chatbot has been released and everyone is stunned!!
15 people? That's cute. 😬 At reka our pretraining team is 3-5 people at max, who were all also working >50% time in other projects. 🫠
Our latest model Inflection-2.5 (inflection.ai/inflection-2-5) is not bad. In fact, it was the ~4th best publicly "known" models when it was released in early March. And it was created by our pretraining team of < 15 people! 2/
I can't speak for the younger generations, but I saw most of the preceding movies, went to Endgame, thought "that movie was actually about as well done as it could possibly have been, really impressive," and have never had even the tiniest desire to see another one since
"Avengers: Endgame" directors say Marvel's recent struggles are not due to superhero fatigue but "a big generational divide about how you consume media." “There’s a generation that’s used to appointment viewing and going to a theater on a certain date to see something, but it’s…