Microsoft Releases The Smallest AI Model Capable To Run On Phones
Plus: Adobe survey finds that over half Americans thinks gen AI helps them to be more creative, Microsoft hires former Meta VP of infrastructure
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 259th edition of The AI Edge newsletter. This edition brings you details on Microsoft’s smallest and highly capable LM series Phi-3.
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
📱 Microsoft launches its smallest AI model that can fit on your phone
🎨 Adobe survey says 50% Americans use generative AI everyday
👨💻 Microsoft hired former Meta VP of infrastructure
💡 Knowledge Nugget: AI Data Licensing Deals by
Let’s go!
Microsoft launches its smallest AI model that can fit on your phone
Microsoft launched Phi-3-Mini, a 3.8 billion parameter language model, as the first of three small models in the Phi-3 series. It is trained on a smaller dataset than larger LLMs like GPT-4 and outperforms models like Meta's Llama 2 7B and GPT-3.5 on benchmarks like MMLU and MT-bench. The Phi-3 series also includes Phi-3-Small (7B parameters) and Phi-3-Medium (14B parameters), which are more capable than Phi-3-Mini.
What sets Phi-3-Mini apart is its ability to run locally on mobile devices like the iPhone 14, thanks to its optimized size and innovative quantization techniques. Microsoft's team took inspiration from how children learn, using a "curriculum" approach to train Phi-3 on synthetic "bedtime stories" and simplified texts. While robust for its size, Phi-3-Mini is limited in storing extensive factual knowledge and is primarily focused on English.
Why does this matter?
Microsoft's innovative training approach could lead to more effective and efficient model development techniques. However, Phi-3-Mini's limitations in storing factual knowledge and its English-centric focus highlight the challenges in creating truly comprehensive and multilingual AI systems.
Adobe survey says 50%Americans use generative AI everyday
Adobe surveyed 3,000 consumers on February 15-19, 2024, about their usage of generative AI and found over half of Americans have already used generative AI. The majority believe it helps them be more creative. Adobe's Firefly has generated 6.5 billion images since its inception last March. Americans use generative AI for research, brainstorming, creating content, searching, summarization, coding, and learning new skills.
Moreover, 41% of Americans expect brands to use AI for personalized shopping, price comparisons, and customer support. Adobe's data also reveals that online traffic to retail and travel sites has surged, with faster customer service and more creative experiences due to generative AI tools.
Why does this matter?
Gen AI's usage has increased over time. Many surveys last year found that very less percentage of Americans used ChatGPT. As generative AI tools become more accessible, businesses must embrace this technology faster to deliver experiences that resonate with modern consumers.
Microsoft hired former Meta VP of infrastructure
With the recent addition of Google DeepMind co-founder Mustafa Suleyman to lead Microsoft's consumer AI division, Microsoft has once again poached a former Meta VP of infrastructure. This strategic hire comes amidst rumors of Microsoft and OpenAI's plans to construct a $100 billion supercomputer, "Stargate," to power their AI models.
Jason Taylor oversaw infrastructure for AI, data, and privacy in Meta. He will join Microsoft as the corporate vice president and deputy CTO, tasked with building systems to advance the company's AI ambitions.
Why does this matter?
Microsoft's aggressive moves in the AI space highlight the fierce competition among tech giants. As AI systems become increasingly resource-intensive, having the right talent will be vital for delivering cutting-edge AI experiences. In addition to strategic hires, Microsoft is rumored to develop a supercomputer project, which could have far-reaching implications for various industries.
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Knowledge Nugget: AI Data Licensing Deals
has compiled a list of publicly reported content licensing deals between major companies. Reddit, Shutterstock, Yelp, Reuters, and Wiley are among the notable names that have struck deals with Google, OpenAI, and Meta. These agreements involve access to vast amounts of data, from images and articles to historical records, with some deals reaching tens of millions of dollars.While some companies are eagerly jumping on the AI bandwagon, others, like the NY Times and IAC, are taking a more combative stance, using the courts to protect their intellectual property.
Why does this matter?
The increasing number of AI data licensing deals highlights the growing importance of high-quality, diverse data in training AI models. As more companies recognize the value of their data assets, we can expect to see a surge in such partnerships. However, it raises questions about data privacy, ownership, and monopolies in the AI space.
What Else Is Happening❗
🎥 Creative Artists Agency (CAA) is testing an AI initiative called CAA Vault
Hollywood's leading talent agency allows their A-list clients to create digital clones of themselves. The agency is partnering with AI firms to scan their clients' bodies, faces, and voices. These AI replicas can reshoot scenes, dubbing, or superimpose onto stunt doubles in film and TV production. CAA is also planning to make this technology available to the entire industry. (Link)
📷 Poetry Camera by Kelin Carolyn Zhang and Ryan Mather generates poems from pictures
Powered by GPT-4, this open-source AI camera allows users to choose from various poetic forms from the scenes it captures. It prioritizes privacy by not digitally saving images or poems. The positive response has led the creators to consider making the Poetry Camera commercially available. (Link)
🤖 Alethea AI launched expressive AI avatars on Coinbase's blockchain
Their proprietary Emote Engine powers high-fidelity facial animations, body movements, and generative AI capabilities. The platform lets users create AI agents quickly and collaborate with the community. Creators can also monetize their AI agents without centralized censorship or revenue sharing. Alethea AI aims to create an avatar arena featuring full-body animation, voice, and lip-syncing. (Link)
🎤 TikTok is working on a new feature that lets users clone their voice
Discovered in the latest Android app version, this new AI text-to-speech feature will allow users to record their voices, which will then be added to the TikTok Voice Library for others. While the feature is still under development, it's already raising concerns about potential misuse and spreading misinformation. TikTok is expected to provide additional details on privacy and safety measures when the feature is ready for broader release. (Link)
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