A family of frontier-class multimodal large language models (LLMs) that achieve state-of-the-art results on vision-language tasks, rivaling the leading proprietary models (e.g., GPT-4o) and open-access models (e.g., Llama 3-V 405B and InternVL 2).
This is a big deal for the open source LLM ecosystem:
Nvidia’s release of NVLM 1.0 marks a pivotal moment in AI development. By open-sourcing a model that rivals proprietary giants, Nvidia isn’t just sharing code—it’s challenging the very structure of the AI industry.
About NVLM 1.0 on Product Hunt
“Open frontier-class multimodal LLMs”
NVLM 1.0 launched on Product Hunt on October 3rd, 2024 and earned 201 upvotes and 12 comments, placing #10 on the daily leaderboard. A family of frontier-class multimodal large language models (LLMs) that achieve state-of-the-art results on vision-language tasks, rivaling the leading proprietary models (e.g., GPT-4o) and open-access models (e.g., Llama 3-V 405B and InternVL 2).
On the analytics side, NVLM 1.0 competes within Open Source and Artificial Intelligence — topics that collectively have 534.6k followers on Product Hunt. The dashboard above tracks how NVLM 1.0 performed against the three products that launched closest to it on the same day.
Who hunted NVLM 1.0?
NVLM 1.0 was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Chris Messina