Meta launched custom AI chips & a supercomputer
Plus: ChatGPT launches iOS app.
Hello, Engineering Leaders and AI Enthusiasts,
Welcome to the 23rd edition of The AI Edge newsletter. In today’s edition, we bring you Meta’s AI chips. Thank you everyone who is reading this. 😊
In today’s edition:
🤖Meta’s AI chips and supercomputer
📱 ChatGPT goes mobile and launches iOS app
💡 Knowledge Nugget: The Economics of Building ML Products in the LLM Era by
Let’s go!
Meta bets big on AI with custom chips & a supercomputer
Meta is making a big bet on AI by developing custom chips and a supercomputer. The company is developing its own chips called the Meta Training and Inference Accelerator (MTIA), which will be optimized for AI workloads and allow for more efficient training and running of complex models.
In addition, Meta is building a supercomputer, which will be used to train large-scale AI models for natural language processing and computer vision. These investments aim to enable the development of more advanced products and services, such as virtual assistants and augmented reality applications.
Why does this matter?
Meta's move to develop its chips could allow them to train and run more complex AI models more quickly and efficiently, leading to more advanced products and services, such as virtual assistants and augmented reality applications.
ChatGPT in your pocket: OpenAI brings ChatGPT to iPhone
OpenAI has released the ChatGPT app for iOS that allows users to have engaging and personalized conversations with an AI language model. It will sync your conversations, support voice input, and bring the latest model improvements to your fingertips. Also, ChatGPT Plus subscribers get exclusive access to GPT-4’s capabilities, early access to features, and faster response times, all on iOS.
They have started the rollout in the US and are expected to enter additional countries in the coming weeks. OpenAI said: “Android users, you're next!”
Why does this matter?
OpenAI's decision to launch an iOS app version could be seen as a way to broaden the reach of its AI technology and make it more accessible to a broader audience. By tapping into Apple's vast user base, OpenAI can showcase the capabilities of its language model and potentially gain new users.
Knowledge Nugget: The Economics of Building ML Products in the LLM Era
LLMs have indeed brought significant benefits to various domains (such as NLP). However, they have also fundamentally changed the lifecycle and economics of building AI products.
In this thoughtful article,
discusses the three stages in detail that an ML product will go through in its lifecycle as it matures: building applications using APIs first, finetuning the model, and training a custom system.
The article also provides a comprehensive overview of the cost, complexities, benefits, challenges, and considerations associated with each stage.
Why does this matter?
While the article discusses how LLMs have transformed the development and deployment of AI products, it also explores ways to improve accuracy, reduce costs, optimize latency, and gain more control over your AI system. With valuable insights, it outlines the economic considerations for decision-making in building ML products today.
What Else Is Happening
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🖼️ DragGAN: Manipulate images with precise control over where pixels go (Link)
🔍 ClearGPT, a generative AI platform overcoming ChatGPT challenges (Link)
🚫 Apple restricts use of ChatGPT and other AI tools for employees (Link)
💡 Meta created CodeCompose, a generative AI tool GitHub’s Copilot (Link)
🚀 Yellow AI launches YellowG, a generative AI platform for automation workflows (Link)
🤖 After Sanctuary AI & Tesla Bot, Figure’s humanoid robot takes first steps (Link)
Trending Tools
Documind: AI chat for finding the answers to your questions from your documents.
Yoodli: AI speech coach that provides private, real-time, non-distracting feedback during your meetings.
Whybot: An AI tool for in-depth investigation of questions or topics.
Kvants: Decentralized Asset Management Platform tokenizing top AI-Driven trading strategies.
Diffus: Cloud-hosted Automatic Stable Diffusion WebUI for image generation.
ZBrain: Enterprise-ready generative AI platform to ChatGPT-like applications in minutes.
Muvie: Your pocket-sized Hollywood studio! Choose your favorite characters and ignite the storyteller in you.
Zoo: Playground for comparing AI image models side by side, including DALL-E, Stable Diffusion, Kandinsky, and others.
That's all for now!
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Thanks for reading, and see you tomorrow.