Revolutionary AI Models: Multiverse Unveils World’s Smallest High-Performing AI

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Revolutionary AI Models: Multiverse Unveils World’s Smallest High-Performing AI

In the rapidly evolving world of artificial intelligence, where models grow ever larger and more complex, a groundbreaking development from Europe’s prominent AI startup, Multiverse Computing, is set to redefine what’s possible. Imagine AI models so compact they can power your smart devices without an internet connection, offering unparalleled privacy and efficiency. This isn’t science fiction; it’s the reality unveiled by Multiverse, promising a future where powerful AI resides directly in your pocket or home appliance.

What is Multiverse Computing and Their Breakthrough?

Multiverse Computing, a buzzy European AI startup headquartered in Donostia, Spain, has garnered significant attention for its innovative approach to AI. Co-founded by quantum computing and physics experts Román Orús and Samuel Mugel, alongside former banking executive Enrique Lizaso Olmos, the company has quickly established itself as a leader in AI model compression. Their secret sauce? A proprietary technology called “CompactifAI.”

This isn’t just any compression. As Orús explains, “We have a compression technology that is not the typical compression technology that the people from computer science or machine learning will do, because we come from quantum physics. It’s a more subtle and more refined compression algorithm.” This quantum-inspired compression is what allows Multiverse to drastically reduce the size of existing AI models without sacrificing their performance. Having recently raised €189 million (about $215 million), bringing their total funding to around $250 million since 2019, Multiverse is well-positioned to bring this technology to the masses.

Meet the “Model Zoo”: SuperFly and ChickBrain

Multiverse Computing is not just talking the talk; they’re walking the walk with their new family of incredibly small, yet powerful, AI models. Playfully named the “Model Zoo” due to their animal brain-inspired sizing, these models are designed to bring advanced AI capabilities to the smallest of devices. Let’s meet the stars of the show:

• SuperFly: This model is a compressed version of Hugging Face’s open-source model SmolLM2 135. While the original has 135 million parameters, SuperFly shrinks it down to a mere 94 million parameters. Orús likens its size to a fly’s brain, albeit a “little bit more clever.” SuperFly is specifically designed for highly restricted data environments, making it ideal for embedding into home appliances. Imagine telling your washing machine, “start quick wash,” and having it respond instantly, all powered by SuperFly.
• ChickBrain: Larger and more capable than SuperFly, ChickBrain boasts 3.2 billion parameters. It’s a compressed version of Meta’s Llama 3.1 8B model. What’s truly remarkable is that despite its power, ChickBrain is small enough to run locally on a MacBook, completely offline. Even more impressively, Multiverse claims ChickBrain slightly outperforms the original Llama 3.1 8B in several standard benchmarks, including language skills (MMLU-Pro), math skills (Math 500, GSM8K), and general knowledge (GPQA Diamond).

ChickBrain Performance Benchmarks (Internal Tests):

While Multiverse isn’t claiming its models will top leaderboards against the largest state-of-the-art models, the achievement lies in maintaining or even slightly improving performance while significantly reducing size. Here’s a snapshot of ChickBrain’s internal benchmark results:

(Note: Specific numerical scores for the original Llama 3.1 8B were not provided in the source text, hence placeholders. The key takeaway is ChickBrain’s comparative performance.)

The Power of Tiny AI: Enabling On-Device AI Everywhere

The implications of such compact yet powerful tiny AI models are vast. The primary goal is to embed AI capabilities directly into Internet of Things (IoT) devices, smartphones, tablets, and PCs. This paradigm shift from cloud-dependent AI to on-device AI offers several compelling advantages:

• Offline Functionality: Devices can operate and respond to AI commands without an internet connection, crucial for reliability and accessibility in various environments.
• Enhanced Privacy: Data processing occurs locally on the device, significantly reducing the need to send sensitive information to cloud servers, thereby bolstering user privacy.
• Reduced Latency: Instantaneous responses are possible as there’s no network delay involved in sending queries to the cloud and receiving replies.
• Lower Costs: Reduced reliance on cloud infrastructure can lead to lower operational costs for manufacturers and potentially lower data usage for consumers.

Multiverse envisions a future where everyday appliances, from washing machines to smartwatches, are infused with conversational AI, making them more intuitive and user-friendly. This local processing power is a game-changer for smart homes and personal electronics.

Strategic Partnerships and the Promise of Quantum-Inspired AI

Multiverse Computing’s innovative approach has not gone unnoticed by industry giants. Orús confirms that the company is actively in discussions with leading device and appliance manufacturers, including Apple, Samsung, Sony, and HP. Notably, HP Tech Ventures and Toshiba were among the investors in their latest funding round, which was led by the well-known European VC firm Bullhound Capital.

The core of Multiverse’s success lies in its unique quantum-inspired AI compression algorithm, CompactifAI. This technology is not limited to large language models; it also applies to other forms of machine learning, such as image recognition. Over its six-year history, Multiverse has secured an impressive client roster including BASF, Ally, Moody’s, and Bosch, showcasing the broad applicability and trust in their technology.

Beyond direct sales to manufacturers, Multiverse is democratizing access to its compressed models through an API hosted on AWS, allowing any developer to integrate these efficient AI capabilities into their applications, often at lower token fees than competitors. This strategy fosters wider adoption and innovation across the developer community.

The Future is Small: A Compelling Conclusion

Multiverse Computing’s introduction of SuperFly and ChickBrain marks a significant milestone in the evolution of artificial intelligence. By successfully creating the world’s smallest high-performing AI models, they are paving the way for a new era of ubiquitous, private, and efficient AI. The ability to run sophisticated chat, speech, and even reasoning capabilities directly on devices without an internet connection is a transformative step for IoT, consumer electronics, and data privacy.

This quantum-inspired breakthrough by Multiverse Computing demonstrates that bigger isn’t always better in the world of AI. Their focus on making powerful AI accessible and embeddable is poised to revolutionize how we interact with technology, bringing intelligent capabilities to every corner of our lives, one tiny model at a time.

To learn more about the latest AI models trends, explore our article on key developments shaping AI features.

This post Revolutionary AI Models: Multiverse Unveils World’s Smallest High-Performing AI first appeared on BitcoinWorld and is written by Editorial Team

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