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All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.

1532
Stories
Knowledge base1 мин

AI Dev 26 x SF | Idan Raman: The Identity Crisis of Browser Agents

Today I'll be speaking about >> [music] >> what we call the identity crisis for browser agents or how can we take human identities and let AI agents use them in a way which is very secure and reliable. So, just a bit about Anchor and about me before we get going. So, I'm Idan…

YouTube — DeepLearning.AI
Knowledge base1 мин

AI Dev 26 x SF | Atai Barkai: Fullstack Agents & Generative UI with AG UI

Cobalt is a Cobalt kit where we make developer infrastructure for uh Cobalt switch are user interactive agents as opposed to fully autonomous agents. And we really make the layers that connect the agentic world with the user-facing application world. And today Cobalt kit powers…

YouTube — DeepLearning.AI
Knowledge base1 мин

AI Dev 26 x SF | Ashwyn Sharma: Every App Needs a Voice UI. Here's How to Build It

I'm Ashish Sharma, CEO and co-founder of VocalBridge. Super excited to be talking about voice interfaces and how you can build them yourself with VocalBridge. A company I co-founded with Andrew Ng's AI Fund and DeepLearning.AI. Personally, I've spent the last decade of my life…

YouTube — DeepLearning.AI
Research1 мин

Multi-Agent AutoResearch with Open Source Models

Hi, in this video I'm going to walk you through a multi-agent setup of AutoResearch. I use open source models and an open source code harness, OpenCode, and I implement AutoResearch, which is a project by Andre Carpathie where he takes a nano GPT project, an LLM in its simplest…

YouTube — Hugging Face
Startups1 мин

How To Win Humanity's Last Hackathon - The hardest agent contest in AI.

Hi, welcome to this video on how to win humanity's last hackathon. This is a hackathon in the normal sense. There's going to be winners, there's going to be a leaderboard, and you're going to need to complete a pretty hard task. However, in many ways, this hackathon is not a…

YouTube — Hugging Face
Knowledge base1 мин

AI Dev 26 x SF | Jerry Liu: My Agent Can't Read a PDF?

Hey everyone. Good to be here. I'm Jerry, co-founder and CEO of Llama Index. For those of you who might not have heard of us before, today we're basically focused all on building the best in class agentic document infrastructure. If you've heard of us before, we started off as a…

YouTube — DeepLearning.AI
Knowledge base1 мин

AI Dev 26 x SF | Brandon Waselnuk: Building the Context Engine AI Agents Need

Hello and welcome. I'm Brandon and we're going to be talking about building the context engine AI agents need. You're working with a lot of agents and those agents are doing things that you either don't want them to do or you're tired when they finish trying to do a code output…

YouTube — DeepLearning.AI
Knowledge base1 мин

AI Dev 26 x SF | Thierry Damiba: Edge to Cloud Video Anomaly Detection

Hi, I'm Neil Kanungo. I'm going to be talking to you today about edge to cloud video anomaly detection. Just doing a quick intro because Terry Demibas session at AI Dev did have some audio technical difficulties for the first few minutes. I'm his manager, Deborah leader at…

YouTube — DeepLearning.AI
Knowledge base1 мин

How Transformers.js Works: AI Models in JavaScript, Explained

Transformers.js brings state-of-the-art machine learning to JavaScript. You can think of it as a library for running AI models locally in the browser through a single high-level API that handles model loading, pre-processing, inference, and post-processing. Hi, I'm Nico and in…

YouTube — Hugging Face
Research1 мин

How to Create an LLM Dataset | FineWeb Overview

Good morning everyone. How's it going today? Today we're going to be talking about the fine web data set. Now, this is a project by Hugging Face and it is a great example of how to gather all the data that you need to train a large language model. This actually is also available…

YouTube — Hugging Face
Startups1 мин

What can you build during 48h Robotics Hackathon?

One year ago, thousands of people around the world spent one weekend building robots they've never built before. This is what they made and where they are now. >> Hi, I'm Nicodeme from Hugging Face. Exactly one year ago, the Robot Worldwide Hackathon brought together thousands…

YouTube — Hugging Face
Knowledge base1 мин

AI Dev 26 x SF | Paul Everitt: The Shift to Agentic Engineering

Today we are going to hear about the shift towards agentic engineering and increased code output. Welcome Paul. >> One minute into this conference Jonathan said Let's talk about the future of software engineering. Let's have a conversation. Let's figure it out. That's exactly…

YouTube — DeepLearning.AI
Knowledge base1 мин

Train AI Robots Without Writing Code! (Introducing LeLab)

This is Leloup, a graphical user interface for the Robot Library. It lets you teleoperate the robots, collect the data set, train models both on your own hardware and with powerful GPUs available through hugging face. And finally, you can of course deploy your working policies…

YouTube — Hugging Face
Knowledge base1 мин

Hermes Architecture EXPLAINED: Memory, Context & Gateways

Good morning everyone. How's it going today? Uh today we're going to be taking a look at the Hermes agent and its architecture. So, we're going to be covering a pretty high-level overview of how this agent is built so that you understand a little bit better how to use it and…

YouTube — Hugging Face
Knowledge base1 мин

Introducing Tau: An Educational Coding Agent

Good morning, everyone. How's it going? Today, we're going to be introducing Tao, which is a coding agent that is designed to be educational and to help you build your own coding agents. So, the objective of this project is not to make it compete with established agents like Pi…

YouTube — Hugging Face
Research1 мин

Hugging Face Journal Club: AsyncOPD and How Stale Can On-Policy Distillation Be?

This paper is doing something if I understand correctly that is very similar to what pipeline RL proposed for reinforcement learning which is where you want to basically have like really decoupled generators from learners from trainers um but you have the additional complexity…

YouTube — Hugging Face
Research1 мин

The Hugging Face Hub for Enterprise & Academia

Всем привет. Если вы работаете с ИИ, у вас наверняка уже есть аккаунт на Hugging Face Hub, где удобно демонстрировать свои модели, скачивать модели с открытым кодом, использовать публичные наборы данных и создавать демоверсии своих моделей. Но публичный хаб—это только начало. В…

YouTube — Hugging Face
Knowledge base1 мин

AI Dev 26 x SF | Daniel Beutel: Flower SuperGrid Agents

I'm here today to talk about a new frontier that we see opening in AI. That frontier is collaborative AI systems. Um that frontier is going to unlock a new category of systems to be built. Systems that were not possible before. But before I do that, I just want to say a few…

YouTube — DeepLearning.AI
Research1 мин

Hugging Face Journal Club: Kimi K3

Let [clears throat] me think where to start. Okay, so we've got the Kim K3 report and it's quite a beast in terms of details, which is pretty awesome. And the bits that I focused on were really just the the pre- uh sorry, the post-training parts. And even that I wasn't able to…

YouTube — Hugging Face
Knowledge base1 мин

Tau Crash Course: The Python Port of Pi

So, recently it has become very clear that coding harnesses are one of the most important parts when creating reliable AI workflows. And what we're going to be doing today is we're going to be taking a look at one coding harness that we're developing internally right here called…

YouTube — Hugging Face
Research1 мин

Hugging Face Journal Club: Scaling Laws for Pre-training & RL

Uh, this paper is actually quite interesting. It dives into something that that has been I guess a question an open question for the Ember communities the Um, we can call them like scaling laws for post-training. And then how is pre-training allocation of compute impact…

YouTube — Hugging Face
Knowledge base1 мин

AI Dev 26 x SF | Andi Partovi: Why Every Agent Needs a Simulation Sandbox

So, I'm Andy. I'm the CTO and co-founder of Verifai. Um I'm going to talk about simulation environments for agents. Now, I'm assuming you are here because you're very interested in agents, but I also do want to see a show of hands, who here is building AI agents, not just using…

YouTube — DeepLearning.AI