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Updated 25 Oct, 07:30
25 articles
- LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
- Does Your Model Run on AWS Trainium? Look It Up
- Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
- Ensemble forecasting with IBM Granite time-series models
- NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
- How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
- Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
- Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
- Hugging Face ❤️ TorchTPU: TPUs, Natively
- AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms
- MPS in PyTorch 2.15
- TorchNeuron: running HF models on AWS Trainium is easier than ever
- Welcome Beam: a 501B open model you can own, customize, and scale
- Apertus 1.5 Release Notes
- Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
- Welcome FLUX.3 Image Klein in Diffusers
- Run fast, private agents on-device with LFM2.5-24B-A2B
- The model that didn't exist, so you made it yourself
- Introducing Falcon ASR
- The Agent Said It Was Done. The Database Disagreed.
- AutoSynthData: Generating Training Data for Enterprise Agents
- Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
- Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
- Holo4: powering generalist computer-use agents
- Welcome RL Environments to the hub