Gemma is a family of lightweight, state-of-the-art https://opensource.googleblog.com/2024/02/building-open-models-responsibly-gemini-era.html built from the same research and technology used to create the Gemini models.
Earlier this week, the fastest LLM (Groq®) burst [back] onto the scene, and now Google is open sourcing the underlying model for Gemini & Gemini Advanced. Sundar definitely lit a fire under some people's asses at Google — in a good way.
Anyone give these models a try yet?
About Gemma on Product Hunt
“Google’s new state-of-the-art open source LLMs”
Gemma launched on Product Hunt on February 23rd, 2024 and earned 266 upvotes and 17 comments, placing #8 on the daily leaderboard. Gemma is a family of lightweight, state-of-the-art https://opensource.googleblog.com/2024/02/building-open-models-responsibly-gemini-era.html built from the same research and technology used to create the Gemini models.
On the analytics side, Gemma competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Gemma performed against the three products that launched closest to it on the same day.
Who hunted Gemma?
Gemma 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