LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.
Nvidia’s NeMoTron 3.5 ASR represents a significant development in automatic speech recognition, offering robust multilingual capabilities and features designed for practical use cases. With 600 ...
This is the repo for the Video-LLaMA project, which is working on empowering large language models with video and audio understanding capabilities. Video-LLaMA is built on top of BLIP-2 and MiniGPT-4.
Abstract: Advanced language models demonstrate remarkable capabilities but remain vulnerable to adversarial word camouflage techniques. These techniques introduce visually perceptible language ...
Abstract: Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a ...
New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, delivering up to 10x performance gains on key drug discovery benchmarks and ...
As I highlighted in my last article, two decades after the DARPA Grand Challenge, the autonomous vehicle (AV) industry is still waiting for breakthroughs—particularly in addressing the “long tail ...
Artificial intelligence (AI) has moved from the realm of sci-fi to our everyday lives, reshaping industries and redefining how we interact with technology. At the heart of this AI revolution are large ...
Large Language Models (LLMs) are capable of understanding and generating human-like text, making them invaluable for a wide range of applications, such as chatbots, content generation, and language ...
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