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Microsoft launches Phi-3 Mini model

Good morning, and happy Wednesday! We are here to sprinkle some flavorful AI seasoning on your day. đ
đ€Ż MYSTERY AI LINK đ€Ż
(The mystery link can lead to ANYTHING AI related. Tools, memes, articles, videos, and moreâŠ)
Todayâs Menu
Appetizer: Microsoft launches Phi-3 Mini model đ
EntrĂ©e: Apple stacking up tech startups đŠŸ
Dessert: AI predicts political lean from facial structure đ€Ż
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MICROSOFT LAUNCHES PHI-3 MINI MODEL đ
phi-3 is here, and it's ... good :-).
I made a quick short demo to give you a feel of what phi-3-mini (3.8B) can do. Stay tuned for the open weights release and more announcements tomorrow morning!
(And ofc this wouldn't be complete without the usual table of benchmarks!)
â Sebastien Bubeck (@SebastienBubeck)
4:30 AM âą Apr 23, 2024
If Microsoft was giving out candy for Halloween, it would be fun-sized. đ«
Whatâs new? Microsoft has launched the Phi-3 Mini, a lightweight AI model that serves as the first of three smaller Phi-3 models the company plans to release.
What is Phi-3 Mini? With 3.8 billion parameters, Phi-3 Mini is trained on a smaller dataset compared to larger models like GPT-4, but is said to perform nearly as well as models 10 times its size. This release follows Microsoftâs earlier Phi-2 model (released in December, 2023), which competed with larger models like Llama 2. Available on platforms such as Azure, Hugging Face, and Ollama, Phi-3 Mini is part of Microsoftâs effort to create efficient AI models suitable for personal devices like phones and laptops.
How was it trained? Phi-3 Mini was trained with a âcurriculumâ inspired by how children learn from books such as bedtime stories, focusing on simpler language and sentence structures to enhance understanding. Eric Boyd, corporate vice president of Microsoft Azure AI Platform, said, âThere arenât enough childrenâs books out there, so we took a list of more than 3,000 words and asked an LLM to make âchildrenâs booksâ to teach Phi.â
Whatâs the significance? Microsoftâs ongoing development of lightweight AI models like Phi-3 aligns with its efforts to create smaller models for specific tasks. These models often excel in custom applications due to their cost-effectiveness and compatibility with smaller datasets.
APPLE STACKING UP TECH STARTUPS đŠŸ
Q: Why did the apple turn red?
A: Because it saw the salad dressing. đ„
What happened? Apple has acquired Datakalab, a French-based tech startup that specializes in data compression and image analysis. The deal reportedly closed on December 17, 2023, but has not been previously reported until now.
What is Datakalab? During the pandemic, Datakalab worked with the French government to employ computer vision to check whether people were wearing face masks on Parisâ transportation systems. The tech startup also deployed its computer vision technology in markets and bus stops in Cannes to monitor social distancing.
How will this help Apple? Datakalabâs computer vision technology will reportedly be used to enhance Appleâs upcoming iOS and Vision Pro features, particularly helping with facial recognition in photos and enhancing Face ID.
AI PREDICTS POLITICAL LEAN FROM FACIAL STRUCTURE đ€Ż
You really think Iâd dare to make a political joke? đ
Whatâs up? A new study published in American Psychologist has found that AI can predict an individualâs political orientation based on images of their expressionless faces.
How does it work? Led by Michal Kosinski of Stanford University, the study utilized an algorithm that captured numerical âfingerprintsâ of participantsâ faces and matched them to a database of responses. The study used AI to map face descriptors to a political orientation scale, revealing that certain stable facial features correlated with political beliefs. For example, the âanalysis of facial features associated with political orientation revealed that conservatives tended to have larger lower faces,â and that âliberals lips and noses are shifted downward, and their chins are smaller.â Itâs worth noting that the results were devoid of figuring in age, gender, and ethnicity.
Why should we care? This alarming finding suggests that widespread biometric surveillance technologies may be more threatening to privacy than previously thought. The researchers urged the public, scholars, and policymakers to recognize and address these risks by tightening regulations on facial recognition technology and its applications.
âOur findings suggest that widespread biometric surveillance technologies are more threatening than previously thought. I think that people donât realize how much they expose by simply putting a picture out there.â
âWATCH THISâ WEDNESDAY đ
Tesla laid off over 10,000 employees in 1st Quarter of 2024. This AI-fabricated video depicts Elon Musk on a Zoom call with some of his âemployees,â showing how the firing process might have (definitely not) went down:
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