How a lot compression ratio and throughput would you recuperate by coaching a format-aware graph compressor and delivery solely a self-describing graph to a common decoder? Meta AI launched OpenZL, an open-source framework that builds specialised, format-aware compressors from high-level knowledge descriptions and emits a self-describing wire format that a common decoder can learn—decoupling compressor…
Salesforce AI Research launched CoDA-1.7B, a diffusion-based language mannequin for code that generates by denoising entire sequences with bidirectional context, updating a number of tokens in parallel moderately than left-to-right next-token prediction. The analysis group revealed each Base and Instruct checkpoints and an end-to-end coaching/analysis/serving stack. Understanding the structure and coaching CoDA adapts a 1.7B-parameter…
We will construct a Regression Language Model (RLM), a mannequin that predicts steady numerical values immediately from textual content sequences on this coding implementation. Instead of classifying or producing textual content, we concentrate on coaching a transformer-based structure that learns quantitative relationships hidden inside pure language descriptions. We begin by producing artificial text-to-number information, tokenizing…
Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes straight from code strings—protecting GPU kernel latency, program reminiscence utilization, and even neural community accuracy and latency—with out hand-engineered options. A 300M-parameter encoder–decoder initialized from T5-Gemma achieves sturdy rank correlations throughout heterogeneous duties and languages, utilizing a single text-to-number…
Thinking Machines has launched Tinker, a Python API that lets researchers and engineers write coaching loops regionally whereas the platform executes them on managed distributed GPU clusters. The pitch is slim and technical: preserve full management of knowledge, goals, and optimization steps; hand off scheduling, fault tolerance, and multi-node orchestration. The service is in non-public…
ServiceNow AI Research Lab has launched Apriel-1.5-15B-Thinker, a 15-billion-parameter open-weights multimodal reasoning mannequin educated with a data-centric mid-training recipe—continuous pretraining adopted by supervised fine-tuning—with out reinforcement studying or desire optimization. The mannequin attains an Artificial Analysis Intelligence Index rating of 52 with 8x value financial savings in comparison with SOTA. The checkpoint ships underneath an…
Zhipu AI has launched GLM-4.6, a significant replace to its GLM collection targeted on agentic workflows, long-context reasoning, and sensible coding duties. The mannequin raises the enter window to 200K tokens with a 128K max output, targets decrease token consumption in utilized duties, and ships with open weights for native deployment. https://z.ai/weblog/glm-4.6 So, what’s precisely…
OpenAI launched (*2*) a text-to-video-and-audio mannequin centered on bodily plausibility, multi-shot controllability, and synchronized dialogue/SFX. The OpenAI workforce has additionally launched a new invite-only Sora iOS app (U.S. and Canada first) that allows social creation, remixing, and consent-controlled “cameos” for inserting a verified likeness into generated scenes. Model capabilities Sora 2 claims materially higher world…
Table of contents FP8 index → top-k selection → sparse core attention Lets Talk about it’s efficiency and accuracy Summary FAQs DeepSeek launched DeepSeek-V3.2-Exp, an “intermediate” replace to V3.1 that provides DeepSeek Sparse Attention (DSA)—a trainable sparsification path geared toward long-context effectivity. DeepSeek additionally decreased API costs by 50%+, constant with the acknowledged effectivity beneficial…
Can a single AI stack plan like a researcher, cause over scenes, and switch motions throughout totally different robots—with out retraining from scratch? Google DeepMind’s Gemini Robotics 1.5 says sure, by splitting embodied intelligence into two fashions: Gemini Robotics-ER 1.5 for high-level embodied reasoning (spatial understanding, planning, progress/success estimation, tool-use) and Gemini Robotics 1.5 for…