SAP has released its December security updates addressing 14 vulnerabilities across a range of products, including three critical-severity flaws. […] Read More
Microsoft today pushed updates to fix at least 56 security flaws in its Windows operating systems and supported software. This final Patch Tuesday of 2025 tackles one zero-day bug that is already being exploited, as well as two publicly disclosed vulnerabilities. Despite releasing a lower-than-normal number of security updates these past few months, Microsoft patched […]
OpenAI targets AI skills gap with new certification standardsAI News Adoption of generative AI has outpaced workforce capability, prompting OpenAI to target the skills gap with new certification standards. While it’s safe to say OpenAI’s tools have reached mass adoption, organisations struggle to convert this usage into reliable output. To address this, OpenAI has announced ‘AI Foundations,’ a structured initiative designed to standardise how employees
The post OpenAI targets AI skills gap with new certification standards appeared first on AI News.
Adoption of generative AI has outpaced workforce capability, prompting OpenAI to target the skills gap with new certification standards. While it’s safe to say OpenAI’s tools have reached mass adoption, organisations struggle to convert this usage into reliable output. To address this, OpenAI has announced ‘AI Foundations,’ a structured initiative designed to standardise how employees
The post OpenAI targets AI skills gap with new certification standards appeared first on AI News. Read More
GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval SystemsTowards Data Science Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost
The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost
The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science. Read More
A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over TimeMarkTechPost In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry contextual embeddings, and are retrieved by similarity when a new situation
The post A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time appeared first on MarkTechPost.
In this tutorial, we explore how an intelligent agent can gradually form procedural memory by learning reusable skills directly from its interactions with an environment. We design a minimal yet powerful framework in which skills behave like neural modules: they store action sequences, carry contextual embeddings, and are retrieved by similarity when a new situation
The post A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time appeared first on MarkTechPost. Read More
Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMsMarkTechPost The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, laptops, and IoT hardware without shipping every request to a data center. It takes the existing LiteRT runtime and wires it directly into MediaTek’s NeuroPilot NPU stack, so developers can deploy LLMs and embedding models
The post Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs appeared first on MarkTechPost.
The new LiteRT NeuroPilot Accelerator from Google and MediaTek is a concrete step toward running real generative models on phones, laptops, and IoT hardware without shipping every request to a data center. It takes the existing LiteRT runtime and wires it directly into MediaTek’s NeuroPilot NPU stack, so developers can deploy LLMs and embedding models
The post Google LiteRT NeuroPilot Stack Turns MediaTek Dimensity NPUs into First Class Targets for on Device LLMs appeared first on MarkTechPost. Read More
Why model distillation is becoming the most important technique in production AIKDnuggets Nebius Token Factory customers use distillation today for search ranking, grammar correction, summarization, chat quality improvement, code refinement, and dozens of other narrow tasks.
Nebius Token Factory customers use distillation today for search ranking, grammar correction, summarization, chat quality improvement, code refinement, and dozens of other narrow tasks. Read More
Create AI-powered chat assistants for your enterprise with Amazon Quick SuiteArtificial Intelligence In this post, we show how to build chat agents in Amazon Quick Suite. We walk through a three-layer framework—identity, instructions, and knowledge—that transforms Quick Suite chat agents into intelligent enterprise AI assistants. In our example, we demonstrate how our chat agent guides feature discovery, use enterprise data to inform recommendations, and tailors solutions based on potential to impact and your team’s adoption readiness.
In this post, we show how to build chat agents in Amazon Quick Suite. We walk through a three-layer framework—identity, instructions, and knowledge—that transforms Quick Suite chat agents into intelligent enterprise AI assistants. In our example, we demonstrate how our chat agent guides feature discovery, use enterprise data to inform recommendations, and tailors solutions based on potential to impact and your team’s adoption readiness. Read More
TPOT: Automating ML Pipelines with Genetic Algorithms in PythonKDnuggets You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code. Read More
Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted ChatbotTowards Data Science Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access.
The post Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot appeared first on Towards Data Science.
Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explicitly allows it to access.
The post Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot appeared first on Towards Data Science. Read More