This looks awesome. Every large open source project should have a world class documentary made about it.
OPEN SOURCE
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OpenAgents: Open Platform for Language Agents
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OpenAgents: An Open Platform for Language Agents in the Wild Xie et al.: https://
arxiv.org/abs/2310.10634 #ArtificialIntelligence #DeepLearning #MachineLearning -
PyTorch Float8 Experimental Documentation Released
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this has a lot more documentation https://
github.com/pytorch-labs/f
loat8_experimental
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PyTorch Conference 2026: Major Announcements on Performance
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pretty excited for the @pytorch conference today and tomorrow. Some very interesting work being talked about in our Maintainers Keynote in the morning…a big one and a few smaller-but-super-high-impact ones (my favorite being around perf). hope to catch you tomorrow!!!
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Stability AI Releases stable-audio-tools for Generative Audio
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We're excited to announce the release of stable-audio-tools, our repo for training and inference of generative audio models! We can't wait to see what the community does with it! https://
github.com/Stability-AI/s
table-audio-tools
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#StableAudio #StabilityAI #AI #AIAudio -
Open Licensing Clause for LLMs: GPL Equivalent Model
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In Open Licensing, what is the "Linking and Derived Works Clause" equivalent for LLMs that will help them progress further like it did for GPL and GNU/Linux?
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GPL-Style Licensing for Open Source LLMs with Data Sharing
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correct, a purely open-source volunteer model is not going to solve this.
Maybe a licensing change for Open LLMs, like GPL did — where you give the model openly, but with the condition that the companies licensing it have to make all 1-bit human feedback that they've collected -
Open LLMs Need Coordinated Human Feedback Strategy
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Open LLMs need to get organized and co-ordinated about sharing human feedback. It's the weakest link with Open LLMs right now. They don't have 100m+ people giving feedback like in the case of OpenAI/Anthropic/Bard.
They can always progress with a Terms-of-Service arbitrage, but -
Abacus AI Launches 70B Model with 32k Token Context
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We launching our 70B model with a context size of ~32k tokens. It outperforms comparable models in several benchmarks. We are closing the performance gap with closed-source models! More info:
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Facebook Releases AI Code Search Datasets
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Facebook Releases AI Code Search Datasets! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Facebook-Datas
ets
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