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IBM Open-Sources Granite AI Models, Launches InstructLab Platform

IBM is adding a family of Granite LLMs to InstructLab, an open-source development platform.

 & Kate Irwin Reporter

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IBM and software subsidiary Red Hat have created a new open-source platform for AI development called InstructLab, the company announced Tuesday. The new platform is designed to allow anyone to contribute to large language models (LLMs) and increase access to existing models, according to a statement.

IBM has open-sourced some of its Granite AI models, including its Granite 7B model, for InstructLab users. Red Hat is also launching an Enterprise Linux AI platform (RHEL AI), which also uses open-sourced Granite models and InstructLab tech.

Red Hat SVP and Chief Product Officer Ashesh Badani says in a statement that both InstructLab and RHEL AI will help "lower many of the barriers facing GenAI across the hybrid cloud, from limited data science skills to the sheer resources required."

Truly open-source AI tools aren't too common among the biggest AI firms. Google's Gemini is a closed, proprietary model, as is Microsoft's Copilot, which was built with some open-source tech. Microsoft-backed OpenAI has also kept ChatGPT closed off to the public, despite what its name might suggest. And some so-called "open-source" AI models aren't as open and available as their creators claim, like Meta's Llama 2 model.

IBM's push for open-source AI developer platforms comes as some tech organizations, like Firefox developer Mozilla, take action to support open-source AI. Back in March, Mozilla and a group of nearly 50 nonprofit organizations, academic researchers, and AI firms wrote an open letter to the US Department of Commerce, asking the feds to embrace truly open and transparent AI models so that the landscape doesn't become dominated by a small handful of for-profit firms.

About Our Expert

Kate Irwin

Kate Irwin

Reporter

I’m a reporter for PCMag covering tech news early in the morning. Prior to joining PCMag, I was a producer and reporter at Decrypt and launched its gaming vertical, GG. I have previously written for Input, Game Rant, Dot Esports, and other places, covering a range of gaming, tech, crypto, and entertainment news.

I’ve been a PC gamer since The Sims (yes, the original) in the CD-ROM days. I still think about my first-gen pink iPod mini, which, looking back, was not so mini. In 2020, I finally built my own custom Windows PC for gaming with a 3090 graphics card, but I also regularly use Mac and iOS devices. As a reporter, I’m passionate about documenting the wide world of tech and how it affects our daily lives.

My Areas of Expertise

  • Microsoft
  • Google
  • Artificial intelligence 
  • Cybersecurity
  • Video games are a big one. I specialize in shooters (Apex Legends, Fortnite, Overwatch) but I occasionally test out other genres as well, especially indie games or cozy games (The Sims series, Animal Crossing). 
  • The business and tech that powers video games
  • Cryptocurrency and blockchain technology
  • Social media platforms, including Meta’s apps, X/Twitter, Telegram, TikTok, etc.
  • Tech regulation

The Technology I Use

  • MSI gaming laptops
  • Nvidia graphics cards
  • AMD CPUs
  • MacBook Pro and Air laptops
  • An iPhone from 2019 (though I’m thinking about getting a “dumb phone” like the Light Phone)
  • Nintendo Switch
  • PlayStation 5
  • Freewrite Traveler 
  • At home: Sonos speakers (we have them all over the house), Philips Hue + Ring security products

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