> "Science is better when shared. Scientific progress is a collective effort. […] We plan to frequently publish technical blog posts, papers, and code […]"
Thank you!
OPEN SOURCE
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Science Thrives Through Shared Knowledge and Collaborative Effort
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Open-Source AI Benchmark for Software Engineering Assessment
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As AI research advances, more realistic software engineering benchmarks are critical to assess model performance and understand socioeconomic implications. To facilitate future research, we open-source a unified Docker image and a public evaluation split, SWE-Lancer Diamond.
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Open sourcing ML models and code remains optional but desirable
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No one is obligated to open source their model+code, but it would be refreshing and delightful
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Llama 4 Announcement Expected at LlamaCon
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Llama 4 potentially will be announced on April 29 in LlamaCon
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AISuite Simplifies LLM Function Calling for Developers
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Announcing new aisuite capability: Easy function calling with LLMs! Function calling (tool use) is an important capability for agentic workflows and other LLM applications, but is cumbersome for developers to use (left column in image). Our open-source aisuite package simplifies
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Elon Musk Open-Source Grok Models for AI Humanity
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@elonmusk Elon, if you want open AI for humanity, why not commit to open-sourcing all the Grok models? @xai
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xAI Open-Source Debate: Full Code Release Beyond Grok Weights
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@elonmusk Elon, if you want open-source AI for humanity, why not open-source all xAI models, not just Grok 1? And not just weights, but all the source code? @xai
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Essential Transformers Course and Smolagents Training Resources
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A must-read along with the recent "smolagents" course! Fantastic work by @_lewtun
, @lvwerra and @Thom_Wolf
. It is packed with useful knowledge for working with transformers, even if dating from 2022. Particularly love the focus on data and training everything from the -
XAI-Evals Framework for Evaluating Post-Hoc Explanations
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Introducing XAI-Evals: A Framework for Evaluating Post-Hoc Local Explanations!
Our open-source Python package benchmarks methods like SHAP, LIME, Grad-CAM, and more with robust metrics for explainability, faithfulness, and sensitivity. to paper here: https://
aryaxai.com/research-paper
s/xai-evals-a-framework-for-evaluating-post-hoc-local-explanation-methods
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xAI lance DeepSearch avec Grok 3
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BREAKING : xAI is launching DeepSearch, the first AI Agent built on Grok 3