Fast Snacks 🥡

Taste Intelligence Vendor Raises $25M
Qloo, a cultural AI startup, revealed that it secured funding to help clients predict consumer tastes…

AI Chip Deals Remain Low
Omdia’s Acquisitions Tracker has revealed that chip manufacturers are taking over as major buyers…

Automatically Create Step-By-Step Guides (partner)
Feed your documentation to Scribe and it automatically creates visual step-by-step guides…

Google Releases Gemma

Oh Google, you’ve done it again.

This time, Google released Gemma, and it’s making waves in the open-source world. Gemma is a brand-new family of open-source AI models that allows developers to build applications on their laptops, not some million-dollar server farm.

These bad boys, coming in sizes 2B and 7B, are like the younger, faster siblings of Google’s powerful Gemini models, and Google is touting its responsible design, basically making sure that Gemma doesn’t go Skynet on us. The best part is that you can snag them for free on platforms like Hugging Face, Kaggle, and Google’s Vertex AI.

And this is big. Gemma isn’t just about flashy tech; it’s about making AI accessible to everyone. But even more so, it’s a move that will likely put some heat on OpenAi to open-source their models.

Here’s what Gemma looks to bring to the table:

• Improved AI applications: Gemma’s open-source nature paves the way for developers to create more accessible and potentially more accurate AI-powered applications like chatbots, virtual assistants, and language translation tools. These can enhance daily tasks like scheduling appointments, getting personalized recommendations, or even accessing information in different languages.
• Responsible AI development: Google’s focus on responsible AI principles in Gemma, such as filtering sensitive data and promoting safe model usage, hopefully contributes to a more trustworthy and ethical AI landscape.
• Accessibility of AI: The accessibility of Gemma, with free availability on various platforms and the ability to run on personal devices, opens doors for wider experimentation and learning about AI. This empowers you to explore its capabilities and even contribute to its development through open-source contributions.

Remember, this is just the beginning. With Gemma leading the charge, expect more companies to jump on the open-source train. Choo choo!

Infer By Qwak: The Engineering Behind AI And ML

Join Infer’s virtual conference, a must-attend for AI/ML enthusiasts:

• Exclusive insights from Uber’s Michelangelo creators, ex-Google ML engineers, leading AI firm founders, and Jfrog’s AI experts.
• Explore practical solutions for overcoming large-scale ML project challenges.
• Equip yourself with the latest AI/ML advancements and strategies to stay at the forefront of tech innovation.

Don’t miss this opportunity to enhance your AI/ML engineering knowledge with industry pioneers.

Save My Spot →

China’s Rush To Dominate AI

China’s endeavors to ascend as a leader in the realm of artificial intelligence mirrors broader global technological dynamics, but the path isn’t going to be easy…

The narrative emerging from China’s AI landscape is one of a complex interdependence on U.S. technology, revealing both challenges and opportunities for the Asian giant.

At the heart of this story is the tale of 01.AI, a Chinese startup that, despite its infancy and the backing of a renowned technologist, Kai-Fu Lee, finds its roots entangled with American AI advancements, notably Meta’s generative AI model, LLaMA.

This intermingling of Chinese innovation with American foundational systems underscores a broader theme: China’s pursuit of AI dominance is paradoxically tethered to the very rival it seeks to outpace.

This technological gap, estimated to be at least a year by some industry insiders, is attributed to multiple factors, including regulatory hurdles, a cautious approach towards innovation that aligns with government directives, and a dependency on open-source models primarily originating from the U.S.

Just Some AI Images I Found

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