Today, we expanded Google’s support for Model Context Protocol (MCP) with the release of fully-managed, remote MCP servers, giving developers worldwide consistent and enterprise-ready access to Google and Google Cloud services. This includes support for MCP in Apigee, which makes it possible for agents to use your secure, governed APIs and custom workflows cataloged in …
Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper semantic understanding, contextual coherence, and more subtle reasoning are still difficult to obtain. The paper discusses state-of-the-art methodologies that advance LLMs with more advanced NLU techniques, such as semantic parsing, knowledge integration, and contextual reinforcement learning. We analyze the use …
Read more “Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding”
Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems from ambiguous descriptions, apply policies under competing constraints, adapt tone to sensitive situations, and provide complete solutions that address root causes. Without robust reasoning, AI systems fail when faced with nuanced …
The 2025 State of AI-assisted Software Development report revealed a critical truth: AI is an amplifier. It magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones. While AI adoption is now near-universal, with 90% of developers using it in their daily workflows, success is not guaranteed. Our cluster analysis of nearly 5,000 …
Read more “From adoption to impact: Putting the DORA AI Capabilities Model to work”
Presented by SAP When SAP ran a quiet internal experiment to gauge consultant attitudes toward AI, the results were striking. Five teams were asked to validate answers to more than 1,000 business requirements completed by SAP’s AI co-pilot, Joule for Consultants — a workload that would normally take several weeks. Four teams were told the …
Read more “The AI that scored 95% — until consultants learned it was AI”
Sam Altman’s appearance on The Tonight Show is part of a larger charm offensive currently being waged by the tech establishment.
Holding a conversation in a crowded room often leads to the frustrating “cocktail party problem,” or the challenge of separating the voices of conversation partners from a hubbub. It’s a mentally taxing situation that can be exacerbated by hearing impairment.
This is a refresh of my tutorial on [how to make realistic](https://www.reddit.com/r/StableDiffusion/comments/10yn8y7/lets_make_some_realistic_humans_tutorial/) people, and [how to make realistic people with SDXL](https://www.reddit.com/r/StableDiffusion/comments/16opi4h/lets_make_some_realistic_humans_now_with_sdxl/), and [let’s make realistic humans with flux](https://www.reddit.com/r/StableDiffusion/comments/1enrkyz/lets_make_some_realistic_humans_now_with_flux/), but this time we will be using the Z Image model.. *Special Note = imgpile currently has something going on, so many of the old SDXL images …
This article is divided into three parts; they are: • Understanding the Architecture of Llama or GPT Model • Creating a Llama or GPT Model for Pretraining • Variations in the Architecture The architecture of a Llama or GPT model is simply a stack of transformer blocks.
In 2025, “using AI” no longer just means chatting with a model, and you’ve probably already noticed that shift yourself.