cursor/replit but for gradio apps
— AK (@_akhaliq) 10 octobre 2024
text to gradio code to chatbot app pic.twitter.com/Fqhh721Vrq
cursor/replit but for gradio apps text to gradio code to chatbot app

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cursor/replit but for gradio apps
— AK (@_akhaliq) 10 octobre 2024
text to gradio code to chatbot app pic.twitter.com/Fqhh721Vrq
cursor/replit but for gradio apps text to gradio code to chatbot app

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rerankers: A Lightweight Python Library to Unify Ranking Methods – http://
Answer.AI https://
bit.ly/3XRnASm
#AI #MachineLearning #DeepLearning #LLMs #DataScience

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Many #devs are looking for other ways to run #OpenSource models faster and more accurately. 🚀🎯
— SambaNova (@SambaNovaAI) 10 octobre 2024
Our CEO & Co-Founder, @RodrigoLiang, shares why SambaNova Cloud is able to provide that in a way that’s really low-friction. 🎥
Start developing ⤵️https://t.co/Nq7AnfsVMP
Many #devs are looking for other ways to run #OpenSource models faster and more accurately. Our CEO & Co-Founder, @RodrigoLiang
, shares why SambaNova Cloud is able to provide that in a way that’s really low-friction. Start developing https://
cloud.sambanova.ai
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There's some lower threshold of quality an LLM needs to have in order to be useful for our game. GPT4o-mini is such an example, and it has good pricing, but it's still cloud based. However there are other candidates for local LLM that we are investigating. LLMs are getting
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SparseLLM: Towards Global Pruning of Pre-trained Language Models https://
arxiv.org/abs/2402.17946 https://
github.com/BaiTheBest/Spa
rseLLM
…
#neurips2024

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GitHub – cupy/cupy: NumPy & SciPy for GPU https://
bit.ly/4dAw0U1
#AI #MachineLearning #DeepLearning #LLMs #DataScience
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amazing, also check out https://
github.com/gradio-app/ope
nai-gradio
…, fastest way to deploy openai api as a web app
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"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model!
— Andrew Ng (@AndrewYNg) 9 octobre 2024
This short course is created with @Meta and taught by @asangani7, Director of AI Partner Engineering at Meta.
Meta’s Llama family of models is leading the way in… pic.twitter.com/ieuJvRjtkT
"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with @Meta and taught by @asangani7
, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in

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Torch Dimensionality Reduction — TorchDR 0.0.0-alpha documentation https://
bit.ly/4gKEQl9
#AI #MachineLearning #DeepLearning #LLMs #DataScience

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There is an ongoing experiment associated with speech-to-text on Claude