Hugging Face came up in “Context as Code, DevX as Leverage: Accelerating Software with Multi‑Agent Workflows” from AI Engineering Podcast.
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are provisioning that environment because being the creator. and early adopters of this utility, I'm wondering how you're addressing some of those challenges. Git somewhere? Are you digging into some of the GitHub code spaces? I know that Um there's the ONA project that used to…
Hugging Face came up in “Bolt.new, Flow Engineering for Code Agents, and >$8m ARR in 2 months as a Claude Wrapper” from Latent Space: The AI Engineer Podcast.
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By overwhelming audience demand, we have settled on best papers of twenty four. twenty twenty four overview talks and Oxford style debates for the following category. Computer vision, open models, transformers killers, synthetic Data, agents, and LLM scaling, featuring friends a…
Hugging Face came up in “Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744” from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence).
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Okay, so basically let's let's take uh Koh here. So they have command. R. Let's say the model type is command r. In mlxlm, if If you go to MXLM and then you look at the models folder, you should be able to see command R.Py. That file contains all the code necessary So, I think t…
Hugging Face came up in “S12 Bonus: Yoav Crombie, Pragatix by AGAT Software” from Code Story: Insights from Startup Tech Leaders.
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is the firewall. So the firewall has two or three layers actually. One is about analyzing giving me visibility and control what your employees are doing. AI services are they using what are they using it for? What is the level of the sensitivity? We have now evolving the agent c…
Hugging Face came up in “Building AI That Thinks Like a Human - Brian Raymond Unstructured on Agentic Software & Human-AI Collaboration | EP 128” from AI Agents Podcast.
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It's metadata and deliberate. That's evolved really kind of like in three chapters for us. So chapter one started in the summer of twenty twenty two when we got our initial round of funding. Um off of a slide deck. We had zero lines of code. And at the time hugging Teamface was…
Hugging Face came up in “Building AI Agents Without Code | Interview with Langflow” from The Generative AI Meetup Podcast.
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started a couple of years ago. It's it's even more than that, like three, four years ago. Gibrier and I we come from this machine learning data science background and uh We come from a time where models were emerging as a new super powerful thing, right? So we started in two tho…
Hugging Face came up in “AI Agents Can Code 10,000 Lines of Hacking Tools In Seconds - Dr. Ilia Shumailov (ex-GDM)” from Machine Learning Street Talk (MLST).
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That gets pulled inside and executed. And this thing opened a Pandora box because this log for J was everywhere and you get arbitrary code execution on the box. And the basic primitive inside was It's a reference to external code that is loaded inside and just executes inside. T…
Hugging Face came up in “Where Claude Opus 5 Fits in Your Model Rotation” from The AI Daily Brief: Artificial Intelligence News and Analysis.
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You can find more about that at SummerAdventure.ai and join the thousand or so people who have signed up in the first day to come have an AI adventure. Now, one of the big stories from last week revolved around OpenAI's security testing of an unnamed model, which people presume…
Hugging Face came up in “My Favorite AI Terminal, Prompt Injection, and More” from Agentic DevOps : AI Engineering for Infrastructure.
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we're going to be using container use, but it feels like the next level of AI agents is that every tool will have a built-in method for doing multiple AI agents. safely at the same time on the same code base. So that probably is coming. I hope that's coming at least because I ne…
Hugging Face came up in “#166 - new AI song generator, Microsoft's GPT4 efforts, AlphaFold3, xLSTM, OpenAI Model Spec” from Last Week in AI.
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They compare to a whole bunch of other open uh code generated. models like code Nama. And as always, with these news stories, it's The best and they do release it under a super open license, Apache two point zero for both research and commercial use. So uh yeah, lots of progress…
Hugging Face came up in “The AI engineer skills gap” from Practical AI.
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work with that and build some capabilities I have in mind. And Yeah. If you would put me back a couple of years ago I'm like, ah no, you know what, it's not my time. But now Now with this AI change and I already went through the first time. On Hugging Face, which is these guys a…
Hugging Face came up in “Why Physical AI Needed a Completely New Data Stack” from Gradient Dissent: Conversations on AI.
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That is just like the working robots that you see like in in warehouses. Like what what's What's happening now? So they're really using a lot of the same model. models but maybe not as heavy focus on research. So I In parallel to all this that's been happening, there's also been…