Run Gemma 4 Locally: Deploy Frontier AI on Your Hardware with Public API Access
Run Google's Gemma 4 models on your own hardware while exposing them via public API using Clarifai Local Runners. Apache 2.0 licensed, multimodal support, and production-ready.
Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI
A practical system design combining open-source Bayesian MMM and GenAI for transparent, vendor independent marketing analytics insights.
The post Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI appeared first on Towards Data Science.
From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs
How a hybrid PyMuPDF + GPT-4 Vision pipeline replaced £8,000 in manual engineering effort, and why the latest models weren’t the answer
The post From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs appeared first on Towards Data Science.
Arcade is the MCP runtime for production agents, delivering secure agent authorization, reliable tools, and governance. This integration gives your agents access to Arcade’s collection of 7,500+ agent-optimized tools through a single secure gateway.
Handling Race Conditions in Multi-Agent Orchestration
If you've ever watched two agents confidently write to the same resource at the same time and produce something that makes zero sense, you already know what a race condition feels like in practice.
Farewell, Anthropocene, we hardly knew ye. 🌹 AI is here. It’s won. Yes, it’s in that awkward teenage phase where it still says inappropriate things, dresses funny, and sometimes makes shit up when it shouldn’t. But zomg the things it can do. 😱 This kid is going places, that much is abundantly clear....
7 Steps to Mastering Retrieval-Augmented Generation
As language model applications evolved, they increasingly became one with so-called RAG architectures: learn 7 key steps deemed essential to mastering their successful development.
Unlike static, rules-based systems, AI agents can learn, adapt, and optimize processes dynamically. As they interact with data, systems, people, and other agents in real time, AI agents can execute entire workflows autonomously. But unlocking their potential requires redesigning processes around age...
How to optimize context, a precious finite resource for AI agents
The post Context Engineering for AI Agents: A Deep Dive appeared first on Towards Data Science.
The AI gold rush is pulling private wealth into riskier, earlier bets
On a recent episode of Equity, we talked to Arena Private Wealth to explore a growing trend: family offices bypassing VCs to gain direct exposure to AI startups, turning them from passive investors into active participants.
LLM Wiki Revolution: How Andrej Karpathy’s Idea is Changing AI
Think about revisiting items you’ve saved to Pocket, Notion or your bookmarks. Most people don’t have the time to re-read all of these things after they’ve saved them to these various apps, unless they have a need. We are excellent at collecting tons of information. However, we are just not very goo...
Rethinking Enterprise Search: How Cortex Search Turns Data into Business Impact
According to Stack Overflow and Atlassian, developers lose between 6 and 10 hours every week searching for information or clarifying unclear documentation. For a 50-developer team, that adds up to $675,000–$1.1 million in wasted productivity every year. This is not just a tooling issue. It is a retr...
This new chip survives 1300°F (700°C) and could change AI forever
A team of engineers has created a breakthrough memory device that keeps working at temperatures hotter than molten lava, shattering one of electronics’ biggest limits. Built from an unusual stack of ultra-durable materials, the tiny component can store data and perform calculations even at 700°C (13...
Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.
Meta AI Releases EUPE: A Compact Vision Encoder Family Under 100M Parameters That Rivals Specialist Models Across Image Understanding, Dense Prediction, and VLM Tasks
Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision encoders are enormous, and when you trim them down to fit on an edge device, they lose the capabilities that made them useful in the first place. Worse, specialized ...
IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking
arXiv:2604.03232v1 Announce Type: new
Abstract: IC3, also known as property-directed reachability (PDR), is a commonly-used algorithm for hardware safety model checking. It checks if a state transition system complies with a given safety property. IC3 either returns UNSAFE (indicating property viol...
To Throw a Stone with Six Birds: On Agents and Agenthood
arXiv:2604.03239v1 Announce Type: new
Abstract: Six Birds Theory (SBT) treats macroscopic objects as induced closures rather than primitives. Empirical discussions of agency often conflate persistence (being an object) with control (making a counterfactual difference), which makes agency claims dif...
Position: Science of AI Evaluation Requires Item-level Benchmark Data
arXiv:2604.03244v1 Announce Type: new
Abstract: AI evaluations have become the primary evidence for deploying generative AI systems across high-stakes domains. However, current evaluation paradigms often exhibit systemic validity failures. These issues, ranging from unjustified design choices to mi...
Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
arXiv:2604.03286v1 Announce Type: new
Abstract: The control of complex laboratory instrumentation often requires significant programming expertise, creating a barrier for researchers lacking computational skills. This work explores the potential of large language models (LLMs), such as ChatGPT, and...
Integrating Artificial Intelligence, Physics, and Internet of Things: A Framework for Cultural Heritage Conservation
arXiv:2604.03233v1 Announce Type: new
Abstract: The conservation of cultural heritage increasingly relies on integrating technological innovation with domain expertise to ensure effective monitoring and predictive maintenance. This paper presents a novel framework to support the preservation of cul...
arXiv:2604.03240v1 Announce Type: new
Abstract: Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by grounding generation in external knowledge, yielding relevance responses that are aligned with factual evidence and evolving corpora. Standard RAG pipelines construct contex...
DRAFT: Task Decoupled Latent Reasoning for Agent Safety
arXiv:2604.03242v1 Announce Type: new
Abstract: The advent of tool-using LLM agents shifts safety monitoring from output moderation to auditing long, noisy interaction trajectories, where risk-critical evidence is sparse-making standard binary supervision poorly suited for credit assignment. To add...
arXiv:2604.03335v1 Announce Type: new
Abstract: Apparent age estimation is a valuable tool for business personalization, yet current models frequently exhibit demographic biases. We review prior works on the DEX method by applying distribution learning techniques such as Mean-Variance Loss (MVL) an...