Nvidia has just announced the release of an open-source large language model (LLM) that is said to perform on par with leading proprietary models from OpenAI, Anthropic, Meta, and Google.
The new model, called NVLM-D-72B, has 72 billion parameters and is part of the NVLM 1.0 family of large language models recently released by Nvidia. NVLM 1.0 is essentially a family of large, borderline multimodal language models that achieve state-of-the-art results on visual language tasks, competing with leading proprietary models (e.g., GPT-4o) as well as open access models.
This new family of large language models reportedly has “industrial-grade multimodal capabilities,” with superior performance across a wide range of visual and language tasks, while also significantly improving text-based feedback. “To achieve this, we create and integrate a high-quality text-only dataset into the multimodal training process, along with a large amount of multimodal mathematical and reasoning data, resulting in improved mathematical and coding capabilities across multiple modalities,” Nvidia researchers explained in a statement.
The result is a high-performance LLM that can perform tasks as simple as explaining why a meme is funny, all the way up to complex mathematical equations, step by step. Nvidia also managed to increase the model's text-only accuracy by an average of 4.3 points on industry benchmarks, thanks to its multimodal training style.
Nvidia appears to be serious about ensuring that the model meets the Open Source Initiative's latest definition of "open source," by not only making its training weights publicly available for community review, but also promising to release the model's source code in the near future. This is a significant departure from competitors like OpenAI and Google, which have been very tight-lipped about keeping details about their LLM's weights and source code private. In doing so, Nvidia has positioned NVLM not necessarily as a direct competitor to ChatGPT-4o and Gemini 1.5 Pro, but instead as a platform for third-party developers to build their own chatbots and AI applications.
NVIDIA's next flagship graphics card, the GeForce RTX 5060 Ti, will come in 16GB and 8GB versions and is expected to launch in mid-April.
Surely many people still haven't forgotten the "explosion" scandal on the Nvidia RTX 40-series graphics card line.
In January this year, Nvidia launched the latest generation of RTX 50 series graphics cards, and introduced the fourth version of Deep Learning Super Sampling (DLSS) technology to users.
Nvidia has yet to provide any official information about its plans to commercially produce its next-generation high-end RTX GPU, which is expected to be called the RTX 5070 Ti.
Cerebras Systems has just officially announced Cerebras Inference, which is considered the world's fastest AI inference solution.
If you haven’t updated your Nvidia GPU in a while, now’s a good time. The company’s latest driver update addresses a number of long-standing bugs while also delivering significant performance gains.
Even though the product has only been released for a short time, Nvidia RTX 5080 and RTX 5090 graphics card owners are complaining about a series of problems.
The concept of artificial intelligence - AI is becoming more and more popular, which means that this superior technology is gradually being effectively deployed in many fields as well as in all aspects of modern life.
In June 2024, Nvidia announced the full open source GPU code for its flagship physics simulation engine, PhysX SDK, including previously unreleased GPU simulation cores. The move is expected to spur innovation in GPU-accelerated computing.
It seems like AMD is trying to raise market expectations for the upcoming MI325X processor.
Meta is developing its first in-house AI training processor. The company has begun pilot testing a small batch of the new AI training chip and will order more if the testing phase produces positive results, Reuters reported.
At this year's CES 2025 event, AMD refrained from revealing long-awaited details about its new flagship Radeon RX 9070 XT GPU, which is built on the RDNA 4 architecture.
General Motors (GM) and Nvidia have expanded their partnership to deploy artificial intelligence (AI)-based technology in next-generation vehicles.
Surely many people still haven't forgotten the "explosion" scandal on the Nvidia RTX 40-series graphics card line.
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