This AI model does it all

A “Jack of All Trades” AI Model Is Coming

Picture an AI capable of complex vision, language, and decision-making tasks. Soon, this may be possible thanks to JAT: an AI project paving the future of AI versatility.

The details: Hugging Face, an open-source machine learning platform, just rolled out JAT—short for "Jack of All Trades.” The key idea? Instead of having separate AI systems for gaming, robotics, language understanding etc., JAT is a single neural network that could handle all of these different tasks.

• When you give JAT a new task, whether it's a game to play, a robot to control, or a question to answer, it uses its broad knowledge from all that training data to try and figure out the best way to approach that task.

• The JAT model was trained on the JAT dataset, a first-of-its-kind generalist AI agent training resource.

What’s possible with JAT? A generalist AI agent like JAT could complete a range of tasks, including:

• Logistics coordination: Directing robots to streamline operations in warehouses.

• Simulation assistance: Playing a crucial role in complex simulations for research and development.

• Home automation: Seamlessly managing and integrating household AI systems, enhancing everyday convenience.

Can you use JAT? Yes…and no. Although it’s making leaps in AI agent capabilities, end users can’t quite get a JAT in a box. Actually running or querying the JAT model requires specialized computing infrastructure, coding skills to use the released source code, and the ability to set up the right environments/tasks for JAT to operate on.

But anyone can contribute to its development. As an open-source project, all the code, models, and datasets associated with JAT are publicly available. This allows other researchers and developers (with the right infrastructure) to improve upon, adapt, and deploy JAT in various settings.

Microsoft's Small AI Models Have Big Potential

Microsoft's latest innovation in AI, the Phi-3 series, is small in stature but poised to make a massive impact. 

Meet the Phi-3 lineup:

• Phi-3 Mini: A dynamo with 3.8 billion parameters capable of performing tasks on par with models ten times its size.

• Phi-3 Small: Slated for release with 7 billion parameters, targeting more complex processing needs without the bulk.

• Phi-3 Medium: A mid-range model with 14 billion parameters, designed to balance power and size for optimal performance.

But it’s more than just numbers. These models are redefining efficiency. The Phi-3 Mini, for example, compares favorably to larger models like the GPT-3.5, achieving similar capabilities but in a much smaller form. These streamlined models could eventually work directly on our devices.

The competition isn't far behind: Google’s Gemma and Anthropic’s Claude 3 Haiku have carved out niches in document summarization and dense academic research. But Microsoft’s Phi-3 still stands out beyond its size efficiency: These models prove wide-ranging utility—from simple concepts to complex reasoning.

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Meta's Smart Glasses Just Got Smarter

This Tuesday, Meta launched sweeping updates to its wearable tech—bringing multimodal AI capabilities to augmented eyewear. 

What's new with the Ray-Ban Meta?

• Video Calling: Share your perspective in real-time via WhatsApp and Messenger. Whether it’s a sunset or your child’s first steps, you can now stream your view directly during a video call.

• Meta AI with Vision: Just ask your glasses about anything you’re looking at, and get instant, relevant information or assistance. For example, while shopping, ask whether a pineapple is ripe and your glasses will help decide based on visual cues.

These glasses aren't just smart—they're a multi-functional assistant perched on your nose. With the latest updates, Meta AI can now deliver real-time translations of menus or signs you’re struggling to understand, making it an indispensable travel companion.

• Adobe’s impressive AI upscaling project makes blurry videos look HD.

• Rabbit R1 hands-on: early tests with the $199 AI gadget.

• Microsoft’s deleted LLM still has online presence.

• Apple’s new AI model may bring AI to the iPhone.

• Augment, a GitHub Copilot rival, launches out of stealth with $252M.

• Synthesia’s AI video avatars now feature emotions.

More important AI news: Dive deeper into this week’s hottest AI news stories (because yes, there are even more) in my latest YouTube video:

Are you ready for speech A.I.? Because it’s here, not in 6 months or a year, but now. On the latest episode of The Next Wave, we dive deep into the incredible potential and the inherent risks of this groundbreaking tech:

How do you pick the right AI for you? Let’s explore together.