1+ day, 6+ hour ago   (308+ words) Deployable: Yes. It runs on Claude Code v2.1.269 or later against any directory with a plugin.json or.claude-plugin/plugin.json manifest, or a skills-directory plugin. Every eval run and judge grader is a real model call billed to your plan…...

1+ week, 3+ day ago   (574+ words) Most production voice stacks are three systems stitched together. One model transcribes, a second separates speakers, and a detector decides when the user stopped talking. Each hand-off adds latency and a new failure mode. Muse Voice Transcribe, announced by Meta…...

1+ week, 5+ day ago   (528+ words) The OpenClaw Foundation has released v2026.8.1, which the project calls OpenClaw 2.0: 933 contributors, 569 first-timers, and more than 16,000 pull requests, roughly half of every PR ever merged into the repo. Setup now reuses existing subscriptions, API keys and local models. The rebuilt Control…...

3+ week, 2+ day ago   (323+ words) Yes, but only S1-mini. S1-mini is published on Hugging Face under Apache 2.0 plus a naming clause. S1-Voice and S1-Language are Superwhisper-hosted services, so they are consumable, not self-hostable. S1-mini is a text normalizer, not a transcriber and not a chat…...

3+ week, 4+ day ago   (178+ words) YES, it is available in beta and as a hosted API. Not as self-hosted weights. Sonic is a closed, commercial model. There are no open weights and no Hugging Face repo. You rent it. Sonic runs on state space models…...

4+ week, 16+ hour ago   (574+ words) Implement an end-to-end fine-tuning pipeline for tool-calling language models. This tutorial covers parsing trajectories, structured tool-call extraction, Qwen-compatible ChatML rendering, and efficient LoRA adaptation using PyTorch. The post Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3 appeared first on…...

1+ mon, 3+ day ago   (225+ words) The model is a hybrid Mamba/Transformer, assembled from three existing NVIDIA components along with one new output path: Outputs include agent audio, agent text, and a running user transcription. Training used roughly 550k hours of audio across real and synthetic…...

1+ mon, 3+ day ago   (681+ words) This tutorial provides a comprehensive guide to building a robust sentiment analysis workflow. By combining classical TF-IDF baselines with modern parameter-efficient fine-tuning (DistilBERT + LoRA), we explore deep model interpretability, calibration, and semi-supervised techniques to achieve scalable sentiment inference The post…...

1+ mon, 5+ day ago   (371+ words) Microsoft has open sourced code-testing-generator, a polyglot agent that writes unit tests and then proves they work. It ships in the dotnet-test plugin inside the MIT-licensed dotnet/skills repository. Yes. It is an agent definition along with skills, not a…...

1+ mon, 6+ day ago   (268+ words) We begin by preparing the Colab environment and installing the required packages for Ax and scikit-learn. We import the core libraries for optimization, machine learning, plotting, logging, and reproducibility. We also configure warnings and Ax logging to keep the notebook…...