Prompting AI to build itself is probably a step towards AGI. Philosophical questions aside given the past week, we looked into a simple version of how this works. We built this in a very constrained setting through our RAGs project to create a RAG agent purely through natural

You know how image generation went from blurry 32x32 texture patches to high-resolution images that are difficult to distinguish from real in roughly a snap of a finger? The same is now happening along the time axis (extending to video) and the repercussions boggle the mind just

Today Eric Ries (creator of Lean Startup & LTSE) & I (fast.ai /Kaggle) are launching a new kind of R&D lab: answer.ai. We're backed by $10m of funding from Decibel. For-profit R&D labs are rare today, but have an amazing history... 🧵

At World Governments Summit AI session with Jensen and Omar Sultan AlOlama discussing how governments should tackle rapid advancements of AI, and it can be summarized in investing in infrastructure and democratizing it across its citizens.

While everyone is talking about Sora, there's a potential successor to LoRA (low-rank adaptation) called DoRA. Here's a closer look at the "DoRA: Weight-Decomposed Low-Rank Adaptation" paper: arxiv.org/abs/2402.09353 LoRA is probably the most widely used parameter-efficient

We are committed to Open Models Stability AI We have given over 20 million A100 hours in grants to open AI research & projects across communities. Stable Diffusion 3 will have an open release. Same with video, language, code, 3D, audio etc. Open collaboration is the way 🚀

And here you have it! The cover for Hands-On Large Language Models. And the animal is: *drum roll* The Red Kangaroo! Why the Red Kangaroo? The process of choosing cover animals is a closely guarded secret held deep within the legendary halls of O'Reilly Media. Maarten Grootendorst and I

I’m happy to present SegmentNT, our new genomics LLM annotating DNA sequences at a single nucleotide resolution! 🔎🧬 Building on our previous work on the Nucleotide Transformer (NT), we’ve designed SegmentNT to process sequences as long as 50,000 nucleotides (50 kbp) to predict

We’re looking for AI engineers to work on the future of RAG, agents, and more. If you meet one or more of the following reqs: 1️⃣ Worked on top open-source projects 2️⃣ Execute with really, really high intensity 3️⃣ Have competitive programming/olympiad awards 4️⃣ Have led ML stack

I'm building something new. If you want to be the 1st to hear about it, I'll be giving a talk in this course. (The course has already started; you can watch the 1st bit on video to catch up.) I'll make my talk available thru Youtube 2 weeks-ish later. maven.com/parlance-labs/…

Easily the best course on applying LLMs! 🙏 Hamel Husain’s course has the exact energy from 2017 fastai: - Heavy focus on practical knowledge over theory - Teaches based on experiences from building commercial projects (rather than examples) - Insanely friendly community

Nathan MrBusiness Scientific knowledge is rarely secret. Technical knowledge doesn't remain secret for very long. Know-how and practical expertise takes longer to disseminate. Product technology and market experience takes even more time and money to reproduce.

Enhancing Answer Selection in LLMs Proposes a hierarchical reasoning aggregation framework for improving the reasoning capabilities of LLMs. The approach, called Aggregation of Reasoning (AoR), selects answers based on the evaluation of reasoning chains. AoR uses dynamic

A brief history of #AI #infographic from Interesting STEM ————— #DataScience #MachineLearning #DeepLearning #DataScientist

NVIDIA just announced FREE AI training and courses in AI. Here are 10 courses you cannot afford to miss: (Don't miss the FREE webinar link below)

AI breakfast tomorrow in Mountain View, let's chat about the latest in AI. Address is in event page, partiful.com/e/IoGcORXSpvE6… Feel free to share across with AI friends and colleagues Cerebral Valley Yobi

Ai as a Force for Good breakfast in Mountain View this Morning

Announcing FastHTML. A new way to create modern interactive web apps. Scales down to a 6-line python file; scales up to complex production apps. Auth, DBs, caching, styling, etc built-in & replaceable and extensible. 1-click deploy to Railway, Vercel, Hugging Face, & more.