Search: “models”

Qwen 3.8-Max is live on Modal, with the full 1M context window and a custom DFlash speculator under the hood. Love seeing our launch partner Modal go all in from Day 0!⚡️ 2.4T parameters. 1M context.

Qwen Live now, an appetizer 👀 Ready for Qwen Live EP2？We will start at 10:00AM！ UTC+8 https://x.com/i/broadcasts/1mGPaZanWBqJN Qwen Cloud：https://www.qwencloud.com/?utm_content=g_20000002312 #QwenClou

Qwen3.8-Max is live on Together AI. Together AI is with us as a Day 0 launch partner, and we couldn’t ask for a better name to share Day 0 with. 2.4T parameters, 95B active, 1M context — all together

Regular reminder -- the set of public ARC 3 games is called 'demonstration set', not 'eval set' nor 'training set'. It is not meant to be used as training data, and it is not meant to be used as an ev

arXiv:2608.12879v1 Announce Type: new Abstract: Fractional partial differential equations describe nonlocal dynamics, but discovering them from noisy data is difficult because fractional differentiati

arXiv:2608.13108v1 Announce Type: new Abstract: Multi-source evidence fusion under Dempster-Shafer theory faces two persistent challenges: existing conflict measures assess inter-evidence inconsistenc

arXiv:2608.13538v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are proposed to extract numerous features from large language model (LLM) representations, yet explaining these features stil

arXiv:2608.13541v1 Announce Type: new Abstract: Part-aware 3D generation aims to create digital assets that are coherent as complete objects while exposing structural parts for editing, material assig

arXiv:2608.13368v1 Announce Type: cross Abstract: This preliminary technical report presents a framework for sign language video synthesis using a loss-guided multi-expert Generative Adversarial Netwo

arXiv:2608.12610v1 Announce Type: new Abstract: There are 56,804 public agent skills today, and teams write many more privately. The dominant delivery model is installation: once installed, a skill's

arXiv:2608.13504v1 Announce Type: new Abstract: We develop the Sparse Orthogonal Regression Technique (SORT), a sparse spectral framework for learning orthonormal-basis expansions from noisy and irreg

arXiv:2608.12443v1 Announce Type: cross Abstract: Neural combinatorial optimization (NCO) relies on parallel solution sampling for training, yet existing methods fail to fully exploit the rich informa

arXiv:2606.20077v2 Announce Type: replace-cross Abstract: Visual tokens enter Large Language Models (LLMs) as raw, foreign signals. How they are transformed into meaningful representations and interac

arXiv:2608.12331v1 Announce Type: cross Abstract: Reasoning language models generate lengthy chain-of-thought (CoT) sequences whose key-value (KV) cache grows linearly and becomes a memory bottleneck

arXiv:2608.13389v1 Announce Type: new Abstract: Enterprise security topology design requires translating business intent, regulatory requirements, and risk assumptions into zones, boundary devices, in

arXiv:2608.13331v1 Announce Type: cross Abstract: The replicability of papers is a cornerstone of scientific knowledge, ensuring the reliability of existing results and providing a base for further ex

OpenAI announced the “Ultrafast” mode (GPT‑5.6 Sol), which can deliver responses up to 14× faster than standard API calls. The feature will first be released to a limited group of API users, with expa

arXiv:2608.13522v1 Announce Type: cross Abstract: AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in w

arXiv:2608.13263v1 Announce Type: new Abstract: Large language model serving faces a critical memory bottleneck: the KV cache grows with sequence length and batch size. PagedAttention uses fixed-size

I am currently building up a local assistant profile on my MacBook Pro M2 with 32gbs. With Claude I am building out this Hermes agent to be my assistant. I am using Qwen3.6 A3B 4bit. We have Frankenst

What's new in LangChain? 🚀 🔌 Support for OpenAI's 3.0 SDK (using httpx2) ✨ Support for gemini-3.7-flash Plus a wave of core reliability fixes from external contributors: 🛠️ Tool calling & structured o

arXiv:2608.12489v1 Announce Type: new Abstract: Organizations decide whom to treat under a budget and want to know what a targeting rule would have earned before deploying it. Off-policy evaluation pr

arXiv:2608.12888v1 Announce Type: new Abstract: Agent-memory systems increasingly buy retrieval quality with structure, transforming raw conversation histories into summaries, embeddings, trees, or kn

Yes, we are back👑, with 206 tok/s on a single RTX 5090! Amazing Day-0 work from the SGLang team. Give it a try~@sgl_project The king of small models is back! Qwen3.8-27B from @Alibaba_Qwen is open sou

Google will now allow you to remove visible watermarks from the images, videos, and music made with AI tools. With the update, you can toggle off a new 'Media watermark' setting in Gemini and Google's

arXiv:2505.05474v2 Announce Type: replace Abstract: 3D scene generation seeks to synthesize spatially structured, semantically meaningful, and photorealistic environments for applications such as imme

Throughput observation more than a demo. Box and recording are sudoingX's on X, shared with his okay; I work on Ling at inclusionAI. He handed the web UI on his llama-server a 33-token prompt — build

A positive Claude watermark doesn’t prove it’s entirely AI-generated and the lack of a watermark doesn’t prove it’s entirely human-generated. The two best ways to tell if something is AI-generated: 1)

A weird experiment I've been trying the last few weeks is having Claude take over day-to-day maintenance of our apps. Seeing early signs of life that this might be possible. The setup is straightforwa

arXiv:2608.11250v1 Announce Type: new Abstract: Language models can propose many plausible trading factors, but an autonomous research system must also allocate its evaluation budget, verify its own e

Anthropic is expected to float at a valuation of about 2 trillion or more in an October IPO, making it the largest initial public offering ever and surpassing SpaceX’s market cap. Investors cite rapid

arXiv:2608.12008v1 Announce Type: new Abstract: Large language models (LLMs) may generate fluent but incorrect answers, making uncertainty quantification important for reliable question answering. How

arXiv:2608.12313v1 Announce Type: cross Abstract: Creative agents still lack an effective way to learn from high-quality human films, limiting their ability to produce cinematic-grade videos. A key ch

ggml : fix arm builds, unused var (#26991) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFramework Li

ggml-hip : remove -funsafe-math-optimizations (#26696) It enables -fassociative-math, which reassociates FP reductions and can flip greedy argmax on RDNA3.5 (e.g. MTP speculative decode diverging from

sycl : Add DMMV ESIMD Q3_K kernel (#26251) Add DMMV Q4_K and Q6_K ESIMD kernels Configure cmake build with -DGGML_SYCL_ESIMD=ON to enable. Signed-off-by: Todd Malsbary todd.malsbary@intel.com Refactor

sycl: remove separate fp32 type promotion in gemm non-oneDNN path (#26372) sycl: use automatic fp16 promotion in gemm sycl: remove redundant comment Website: https://llama.app macOS/iOS: macOS Apple S

ggml-cpu/ops: vectorize flash-attention V-cache F16 to F32 conversion (#26947) Co-authored-by: jinzihao jinzihao.jzh@alibaba-inc.com Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) m

spec: enable backend sampling for both dflash & dspark (#26958) dflash: enable backend sampling for both dflash & dspark enable p_min > 0 in backend sampling and add guard cont : add TODO Co-authored-

metal : add TQ2_0 support (#26980) metal: add TQ2_0 support Add support for the GGML_TYPE_TQ2_0 (ternary, 2 bits per element) type in the Metal backend. Assisted-by: llama.cpp:DeepSeek-v4-Flash-0731 c

server : serve index.html with no-cache (#27006) index.html was served with max-age=31536000, immutable like the hashed assets, but its name is stable while its contents change every build, so a cache

chat : fix LFM2 tool call arg name prefix ambiguity (#26960) Assisted-by: Claude Opus 5 Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled)

[SYCL] Support host pinned mem to improve SYCL Host-to-Device Memory Access (#26789) support host pinned mem, ggml_backend_sycl_host_buffer_type_get_max_size, fix the thread-safe issue Website: https:

common: apply CPU parameters across tools (#27026) Website: https://llama.app macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64) iOS XCFram

arXiv:2608.12259v1 Announce Type: new Abstract: Financial forecasting models are typically developed in full precision, yet production deployment often requires low-precision inference to reduce memor

ChatGPT can now remember your activity across the apps and websites on your computer. With Computer History in the desktop app, future interactions feel more personalized and require less explanation.