2+ hour, 48+ min ago  (462+ words) Meta researchers have introduced Perception Encoder Audiovisual, PEAV, as a new family of encoders for joint audio and video understanding. The model learns aligned audio, video, and text representations in a single embedding space using large scale contrastive training on…...

1+ day, 13+ hour ago  (230+ words) You're deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate'even though the model architecture and hardware remain the same. If compute isn't the primary…...

2+ day, 2+ hour ago  (486+ words) Nemotron 3 is presented as an efficient open model family for agentic applications. The line consists of Nano, Super and Ultra models, each tuned for different workload profiles. Nemotron 3 Nano is a Mixture of Experts hybrid Mamba Transformer language model with…...

3+ day, 3+ hour ago  (426+ words) Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company's Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure,…...

3+ day, 14+ hour ago  (630+ words) In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which instruction or example works best, we build an optimization loop around…...

5+ day, 5+ hour ago  (680+ words) Meta has released SAM Audio, a prompt driven audio separation model that targets a common editing bottleneck, isolating one sound from a real world mix without building a custom model per sound class. Meta released 3 main sizes, sam-audio-small, sam-audio-base, and…...

1+ week, 1+ day ago  (472+ words) OpenAI team has released their openai/circuit-sparsity model on Hugging Face and the openai/circuit_sparsity toolkit on GitHub. The release packages the models and circuits from the paper "Weight-sparse transformers have interpretable circuits". The models are GPT-2 style decoder only transformers…...

1+ week, 2+ day ago  (691+ words) In this article, we'll explore the five major players: Large Language Models (LLMs), Vision-Language Models (VLMs), Mixture of Experts (MoE), Large Action Models (LAMs) & Small Language Models (SLMs). LLMs take in text, break it into tokens, turn those tokens into…...

1+ week, 2+ day ago  (308+ words) Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling,…...

1+ week, 6+ day ago  (937+ words) In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they…...