Image created with OpenAI gpt-image-1. Image prompt: Single-panel cartoon with loose, hand‑inked lines, bean‑bodied figures, muted flat colors, minimal props, and deadpan humor: Green chameleon clicks GPUs into its scales like LEGO, blending into circuit‑board wallpaper. Large bold title text centered at top: “NVIDIA” Muted colors, flat shading, black ink outlines. 16:9. Caption: “Adaptive camouflage architecture, version 1.0.”
“Nvidia just released Describe Anything 3B – Multimodal LLM for Detailed Localized Image and Video Captioning ⚡ > integrates full-image/ video context with fine-grained local details using a focal prompt and a localised vision backbone with gated cross-attention DAM-3B > https://x.com/reach_vb/status/1914962078571356656
“Nvidia presents Eagle 2.5! – A family of frontier VLMs for long-context multimodal learning – Eagle 2.5-8B matches the results of GPT-4o and Qwen2.5-VL-72B on long-video understanding https://x.com/arankomatsuzaki/status/1914517474370052425
“Keeps getting better: Nvidia also dropped OpenMath Nemotron 32B & 14B – secured FIRST prize in AIMO-2 competition 🤯 > beats DeepSeek R1, QwQ and more on AIME, HLE-Math and more So cool to see Nvidia not just releasing model checkpoints, but also the code and the datasets too https://x.com/reach_vb/status/1915153226145427574
“Wait, Nvidia dropped a 4 MILLION context length Llama 3.1 Nemotron 🤯 could literally drop entire codebases in it! https://x.com/reach_vb/status/1912743420851875986
“New foundation model on image and video captioning just dropped by @NVIDIAAI 🔥 Describe Anything Model (DAM) is a 3B vision language model to generate detailed captions with localized references 😮 The team released the models, the dataset, a new benchmark and a demo 🤩 https://x.com/mervenoyann/status/1914980803055862176
“A dual-FPGA LoopLynx achieves 2.52x speedup over an Nvidia A100 with 48.1% energy. Field-Programmable Gate Array (FPGA) architectures for LLM inference are often inefficient during sequential token decoding. LoopLynx presents a hybrid spatial-temporal architecture using large https://x.com/rohanpaul_ai/status/1915727488946209224
“Nvidia just dropped Describe Anything on Hugging Face Detailed Localized Image and Video Captioning https://x.com/_akhaliq/status/1914917564137828622
Enterprises Onboard AI Teammates Faster With NVIDIA NeMo Tools to Scale Employee Productivity | NVIDIA Blog https://blogs.nvidia.com/blog/nemo-enterprises-ai-teammates-employee-productivity/
“Some day in the next decade, we will have robots in every home, every hospital and factory, doing every dull and dangerous jobs with superhuman dexterity. That day will be known as “Thursday”. Not even Turing would dare to dream up our lifetime in his wildest dreams.” / X https://x.com/DrJimFan/status/1914681494385360959
“First Luma AI, now Odyssey ML. All of the 3D-first AI startups are pivoting to video diffusion as the path to interactive world building. Maybe Jensen was right. Every pixel will be generated, not rendered. Makes me wonder if World Labs stays the course.” / X https://x.com/bilawalsidhu/status/1913046871112573146
