/AI Weekly/Issue 71
This Week in AI: Why OpenAI’s o1 changes the AI regulation game
Published Tuesday, September 24, 2024
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 […]
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 […]
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!
In this episode we talk with Beth Pan, Senior Software Engineering Manager @ Microsoft about Window 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.
In alignment with Microsoft’s commitment to help customers use AI products responsibly, Azure OpenAI Service includes a content filtering system that works..
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.
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().
The easiest way to get started with LlamaIndex. Contribute to run-llama/create-llama development by creating an account on GitHub.
The AI links worth your time, curated by the community and always free.
