🤖 OpenAI Partners With Stack Overflow

PLUS: Apple’s AI Chips for Data Centers, Language Models Write Code to Train Robots?!

Author

James Roesser
May 08, 2024

Welcome back AI enthusiasts!

In today’s AI Report:

  • 🤝OpenAI Partners With Stack Overflow

  • 🍎Apple’s AI Chips for Data Centers

  • 🦾Language Models Write Code to Train Robots?!

  • 🛠5 Trending Tools

  • 💰Venture Capital Updates

  • 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

🤝OpenAI Partners With Stack Overflow

Image Source: Canva AI Image Generator

OpenAI partnered with Stack Overflow to provide ChatGPT users with accurate answers to programming-related questions, including API development and data analysis.

Key Details:

  • OpenAI will utilize Stack Overflow’s OverflowAPI to access the platform’s robust repository of trusted, attributed, accurate, and highly technical Q&A data from millions of developers.

  • Stack Overflow will utilize OpenAI’s LLM frameworks to continue advancing OverflowAI and ensure developers find solutions faster within their workflows.

  • When ChatGPT responds to a user’s coding query with Stack Overflow data, it’ll offer sources for relevant posts.

  • OpenAI’s COO Brad Lightcap explained: “Learning from as many languages, cultures, subjects, and industries as possible ensures that our AI models can serve everyone.”

Why It’s Important:

  • Stack Overflow is the world’s largest developer community, hosting over 59 million Q&A forums filled with professional and enthusiast programmers.

  • OpenAI’s ChatGPT will offer improved accuracy for developers by accessing Stack Overflow’s massive dataset of high-quality, verified code and solutions.

🩺 PULSE CHECK

Should OpenAI’s ChatGPT be required to cite Stack Overflow when using the platform’s content to answer user queries?

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APPLE

🍎Apple’s AI Chips for Data Centers

Image Source: The Climate Group/Flickr

Apple has been developing chips designed to run artificial intelligence software in data-center servers to gain a competitive edge over Big Tech companies in the AI space.

Key Details:

  • Apple’s Project ACDC (Apple Chips in Data Centers) has been developing for several years with no clear timeline.

  • The iPhone maker has been working with Taiwan Semiconductor Manufacturing Company (TSMC) to create the chip’s design and outline production cycles. However, it remains uncertain whether the efforts have yielded any positive results.

  • The Wall Street Journal claims Apple’s chips for data centers will focus on AI inference rather than training AI models.

  • AI inference refers to using a trained AI model to make predictions on new, unseen data. It’s essentially the AI model putting its learned knowledge to the test by generating an output, prediction, or classification based on unseen data.

Why It’s Important:

  • During Apple’s Q2 Earnings Call last Thursday, Apple CEO Tim Cook told investors, “We believe in the transformative power and promise of AI, and we believe we have advantages that’ll differentiate us in this new era.”

  • GenAI systems like OpenAI’s GPT-4 must crunch immense amounts of data using computer servers hosted in data centers to fuel ChatGPT’s responses.

  • Most companies rely heavily on data center servers filled with Nvidia hardware. Apple is attempting to reduce its reliance on Nvidia to run AI models and potentially become an alternative for companies.

AI RESEARCH

🦾Language Models Write Code to Train Robots?!

Nvidia researchers developed DrEureka, a language-guided “Sim-To-Real” AI algorithm that automates the steps to train robot skills in simulations and transfers them to the real world.

DrEureka writes C/C++ code to define robot skills in simulations, like general-purpose dexterity. Then, the AI algorithm transfers these defined robot skills into physical robots.

DrEureka leverages an LLM’s physics knowledge to adjust parameters like friction and gravity, automating the labor-intensive manual design and tuning process.

DrEureka trained a simulated robot dog to balance and navigate paths on a yoga ball and successfully applied it to an actual robot dog.

🛠TRENDING TOOLS

🦇Adobe Acrobat interacts with your documents for quick answers and one-click summaries.

🥑Playground is a Trustworthy Language Model (TLM) that offers reliable answers.

☕️NightCafe Studio unleashes AI-driven art creation with no skills required.

⚙️n8n is an open-source workflow automation tool that connects tasks.

🎸Riffusion transforms lyrics into complete songs.

🔮Browse our always Up-To-Date AI Tools Database.

💰VENTURE CAPITAL UPDATES

  • Microsoft and OpenAI launch a $2M fund to counter election deepfakes.

  • HealWell AI Inc. secures $20M to develop data science healthcare technology.

  • Expresso AI emerges from stealth with $11M to tackle the cloud cost crisis.

💼WHO’S HIRING?

  • Vendelux (New York City, NY): Data Analyst Intern, Summer 2024

  • Sony Pictures (Culver City, CA): Digital Disruption Intern, Summer 2024

  • LLNL (Livermore, CA): Computing Undergraduate Student Intern, Fall 2024

  • Skyworks (Irvine, CA): Enterprise Architecture/ML, Fall/Co-Op 2024

  • Apple (San Diego, CA): Software Development Engineer

🤖PROMPT OF THE DAY

PERFORMANCE

📊Performance Evaluation

Develop a concise monthly performance review system for my [Team Description], covering goal settings, performance metrics, data collection, feedback, evaluation, development planning, follow-up, and continuous improvement.

Team Description = [Insert Here]

📒FINAL NOTE

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❤️TAIP Review of the Day

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