Evidence brief
Developers can use an open-source framework to start RL training for LLMs and multimodal models.
@radixark said Miles v0.1 has launched, an open-source RL framework for LLMs and multimodal models.
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Source attributionX · @PyTorch
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The repost says @datapointai launched HumanEvals, an open-source library that adds real human judgment to multimodal model evals.
Why it mattersMultimodal model evaluation can more easily include human judgment.
Original sourceMojo🔥 is now officially open source under the Apache 2.0 license with LLVM exceptions, with the compiler, toolchain, and full source code released to the modular GitHub repository; compiler-related contributions are not currently accepted.
Why it mattersDevelopers can view the Mojo compiler and toolchain source code, but compiler contributions still need to wait for opening.
Original sourceThe poster says they are bullish on simple agent harnesses, and says Vercel’s fx is a new coding agent harness for model benchmarking, sandboxing, evals, and gyms.
Why it mattersDevelopers can use a unified harness to test, isolate, and evaluate code Agent capabilities.
Original sourceThe repost says NVIDIAAI released the public preview of TensorRT Model Connect, allowing users to connect supported Hugging Face models to an end-to-end TensorRT workflow.
Why it mattersDevelopers can more directly bring Hugging Face models into the TensorRT-optimized deployment pipeline.
Original sourceThe poster says TRex can select any area of the screen and write the text to the clipboard, supports PDF, images, video frames, and QR code recognition, can connect to system shortcuts, and performs recognition locally.
Why it mattersThis tool reduces manual transcription in remote meetings and scenarios with non-selectable text.
Original source