Multiverse Releases Compact AI Models on Hugging Face

Paris-based AI real estate startup Davis has raised €4.6 million in a pre-seed round led by Heartcore Capital and Balderton Capital, with participation from Yellow, Evantic, and Entrepreneurs First, alongside angels from the founding teams of Hugging Face, Black Forest Labs, and Supabase. Founded in 2025 by CEO Mehdi Rais and Amine Chraibi, Davis combines […]

Scissero has launched ‘Suzie Law’, an open-source AI assistant to help lawyers with needs such as drafting and knowledge search, with the ability to ‘adapt ...

Most ML projects do not fail because of model choice. They fail in the messy middle: finding the right dataset, checking usability, writing training code, fixing errors, reading logs, debugging weak results, evaluating outputs, and packaging the model for others. This is where ML Intern fits. It is not just AutoML for model selection and […] The post ML Intern in Practice: From Prompt to a Shipped Hugging Face Model  appeared first on Analytics Vidhya.

In this tutorial, we take a deep dive into the TaskTrove dataset on Hugging Face and build a complete, practical workflow to efficiently explore it. Instead of downloading the full multi-gigabyte dataset, we stream it directly and work with individual samples in real time. We begin by setting up the environment and inspecting the raw […] The post A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection appeared first on MarkTechPost.

In this tutorial, we explore how to use the ParseBench dataset to evaluate document parsing systems in a structured, practical way. We begin by loading the dataset directly from Hugging Face, inspecting its multiple dimensions, such as text, tables, charts, and layout, and transforming it into a unified dataframe for deeper analysis. As we progress, […] The post A Coding Implementation on Document Parsing Benchmarking with LlamaIndex ParseBench Using Python, Hugging Face, and Evaluation Metrics appeared first on MarkTechPost.

OpenAI's Privacy Filter Is a 1.5B-Parameter PII Detector Built on a Distilled Decoder — And It Runs in Your Browser The post OpenAI Releases Privacy Filter: A 1.5B-Parameter Open-Source PII Redaction Model with 50M Active Parameters appeared first on MarkTechPost.

DONOSTIA, Spain, April 28, 2026 — Multiverse Computing today announced the release of the LittleLamb open-source model family, three new ultra-compact models now available for free on Hugging Face. Designed […] The post Multiverse Computing Launches LittleLamb Model Family, Expanding Compact AI for Edge, On-Device, and Agentic Use Cases appeared first on AIwire.

Fleet, the independent, open-source, multi-platform MDM service, recently announced its new partner program for VARs and MSPs serving enterprise customers and recruited MobileIron co-founder Suresh Batchu to serve on the company’s board. With those moves in mind, I caught up with company CEO Mike McNeil to find out more about the Fleet’s plans. Given the company’s roots in open source, working with partners is a good way to enable it to support a variety of enterprise needs, with resellers and MSPs playing an active role in customizing the core solution for those requirements. Fleet and the Mac Fleet is just as happy managing Macs as it is Linux systems and integrates well with existing tools — as long as they support open standards and APIs. This gives it a unique insight into Apple device adoption in the enterprise. McNeil confirmed that both Apple and Linux systems are seeing rapid increases in deployment. “The new MacBook Neo is now cheaper than comparable PCs, so Apple adoption is