Issue 71 24th September 2024

Highlights

This Week in AI: Why OpenAI’s o1 changes the AI regulation game

Hiya, folks, welcome to TechCrunch’s regular AI newsletter. If you want this in your inbox every Wednesday, sign up here. It’s been just a few days since OpenAI revealed its latest flagship generative model, o1, to the world. Marketed as a “reasoning” model, o1 essentially takes longer to “think” about questions before answering them, breaking down […]

Eureka: Evaluating and understanding progress in AI

In the fast-paced progress of AI, the question of how to evaluate and understand capabilities of state-of-the-art models is timelier than ever. New and capable models are being released frequently, and each release promises the next big leap in frontiers of intelligence. Yet, as researchers and developers, often we ask ourselves: Are these models all […]

Introducing OpenAI o1

OpenAI o1-preview and o1-mini are rolling out today in the API for developers on tier 5. o1-preview has strong reasoning capabilities and broad world knowledge. o1-mini is faster, 80% cheaper, and competitive with o1-preview at coding tasks.

Paper of the week

A systematic review of prompting techniques

This week's paper is always nice to have around when working with language models. It's a very well designed overview of various prompting techniques. It features both text-based prompting and multi-model techniques. It's easy to read too, so overall a great resource!

Video

Episode 303 - Windows AI with Beth Pan

In this episode we talk with Beth Pan, Senior Software Engineering Manager @ Microsoft about Window AI.

Siddharth Vaghasia - Humans in AI

Dive into the fascinating journey of Siddharth Vaghasia as he shares insights from his 15-year adventure in the tech world! Specializing in the Microsoft Technology Stack, Siddharth reveals how AI became an integral part of his solutions toolkit. Discover how he tackles challenges and embraces evolving technology amidst the fun and frenzy of AI.

Articles

Content filtering with Azure AI Studio

In alignment with Microsoft’s commitment to help customers use AI products responsibly, Azure OpenAI Service includes a content filtering system that works..

‘It’s the robot we were all expecting – like C3PO’: why aren’t humanoids in our homes yet?

Tesla and others are trying to infuse robots with artificial intelligence, yet their development is dogged by technical and safety challenges. But the dream of a multipurpose domestic droid lives on.

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

Only 15% of ChatGPT users are from the US, where Standard American English is the default. But the model is also commonly used in countries and communities where people speak other varieties of English. Over 1 billion people around the world speak varieties such as Indian English, Nigerian English, Irish English, and African-American English.

Learning to Move Like Professional Counter-Strike Players

In multiplayer, first-person shooter games like Counter-Strike: Global Offensive (CS:GO), coordinated movement is a critical component of high-level strategic play. However, the complexity of team coordination and the variety of conditions present in popular game maps make it impractical to author hand-crafted movement policies for every scenario.

Challenges and Efforts in PyTorch Multi-Device Integration: Compatibility, Portability, and Integration Efficiencies

As the demand for diverse hardware accelerators grows, the need for a robust and adaptable deep learning framework becomes increasingly critical. While working through this integration, several challenges have surfaced in the PyTorch ecosystem, potentially affecting various hardware vendors. This blog aims to highlight these issues and propose solutions to enhance PyTorch’s adaptability, portability, and resilience across different hardware platforms.

Using GPT-4 to improve teaching and learning in Brazil

Arco Educação, Brazil’s largest educational operating system, is partnering with OpenAI to build tools that enable teachers to concentrate on what matters most: helping students learn. “Arco’s products were built by teachers, for teachers,” says CEO Ari de Sá Cavalcante. “Our AI strategy aims to free up educators’ time, enabling them to focus more on each student's unique learning journey.”

Review of the CrewAI DALL-E Tool: A Game-Changing Innovation in Image Generation Technology

The CrewAI DALL-E Tool lets AI generate images from text, streamlining design, making content creation fast and accessible.

What is Machine Learning (ML)? Your Ultimate Guide to the Heart of AI

Machine learning (ML) is one of the most exciting fields in tech today, powering everything from voice assistants like Siri to…

Introducing the OpenAI Academy

New initiative will fuel innovation by investing in developers and organizations leveraging AI, starting in low- and middle-income countries.

OpenAI’s O1 Model: Will This Be the New Future for Programming?

Open AI just dropped the bomb with O1 but trust me, I am seriously buzzing in the coding community. Honestly, I felt that we had hit a…

Salesforce and IBM join forces to develop AI agents for enterprise software

See how Salesforce and IBM are teaming up to create AI agents that could reshape how businesses handle sales, customer service and more.

Code

How streaming LLM APIs work

New TIL. I used curl to explore the streaming APIs provided by OpenAI, Anthropic and Google Gemini and wrote up detailed notes on what I learned. Also includes example code for receiving streaming events in Python with HTTPX and receiving streaming events in client-side JavaScript using fetch().

GitHub - run-llama/create-llama: The easiest way to get started with LlamaIndex

The easiest way to get started with LlamaIndex. Contribute to run-llama/create-llama development by creating an account on GitHub.