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News
Anthropic Adds Plugin Evals to Claude Code: 6 Grader Types, a No-Plugin Baseline, and a CI Gate for Skills
1+ day, 9+ 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…...
Microsoft Releases Agent Lightning: A New AI Framework that Enables Reinforcement Learning (RL)-based Training of LLMs for Any AI Agent
10+ mon, 2+ week ago (1019+ words) How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help optimize multi-agent systems. Agent Lightning is a open-sourced framework that…...
xAI launches Grok-4-Fast: Unified Reasoning and Non-Reasoning Model with 2M-Token Context and Trained End-to-End with Tool-Use Reinforcement Learning (RL)
11+ mon, 3+ week ago (464+ words) xAI introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors into a single set of weights controllable via system prompts. The model targets high-throughput search, coding, and Q&A with a 2M-token context window and…...
Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends
10+ mon, 4+ week ago (609+ words) In this tutorial, we explore Ivy’s remarkable ability to unify machine learning development across frameworks. We begin by writing a fully framework-agnostic neural network that runs seamlessly on NumPy, PyTorch, TensorFlow, and JAX. We then dive into code transpilation, unified…...
Google AI Research Introduce a Novel Machine Learning Approach that Transforms TimesFM into a Few-Shot Learner
11+ mon, 2+ week ago (236+ words) The research team highlights: (1) separator tokens to mark boundaries, (2) causal self-attention over mixed histories and examples, (3) persisted patching and shared MLP heads, and (4) continued pre-training to instill cross-example behavior. Collectively, these enable the model to treat support series as informative…...
A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples
11+ mon, 6+ day ago (832+ words) curated, tool-grounded demonstrations build stronger software agents than broad piles of generic instruction...method that turns a base model into a capable software/research agent using 78 samples. […] The post...New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples…...
MBZUAI Releases K2 Think V2: A Fully Sovereign 70B Reasoning Model For Math, Code, And Science
7+ mon, 2+ week ago (317+ words) K2 V2 is a dense decoder only transformer with 80 layers, hidden size 8192, and 64 attention heads with grouped query attention and rotary position embeddings. It is trained on around 12 trillion tokens drawn from the TxT360 corpus and related curated datasets that cover web text,…...
NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection
9+ mon, 2+ week ago (408+ words) How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA researchers release ToolOrchestra, a novel method for training a small…...
ServiceNow AI Releases Apriel-1.5-15B-Thinker: An Open-Weights Multimodal Reasoning Model that Hits Frontier-Level Performance on a Single-GPU Budget
11+ mon, 1+ week ago (458+ words) ServiceNow AI Research Lab has released Apriel-1.5-15B-Thinker, a 15-billion-parameter open-weights multimodal reasoning model trained with a data-centric mid-training recipe—continual pretraining followed by supervised fine-tuning—without reinforcement learning or preference optimization. The model attains an Artificial Analysis Intelligence Index…...
Hugging Face Releases ml-intern: An Open-Source AI Agent that Automates the LLM Post-Training Workflow
4+ mon, 3+ week ago (883+ words) Hugging Face has released ml-intern, an open-source AI agent designed to automate end-to-end post-training workflows for large language models (LLMs). Built on the company’s smolagents framework, the tool can autonomously perform literature review, dataset discovery, training script execution, and iterative…...