NLWeb: Consuming Schema Markup for AI Applications | Schema App Solutions
NLWeb turns Schema Markup into AI-ready data—unlocking smarter search, improved content discoverability, and faster AI integration.| Schema App Solutions
Organizations want to infuse LLMs into every part of their planning and decision making process. This translates to thousands, if not millions of API calls a day. While GPT-4 is great, it’s also prohibitively expensive,... The post Open Source LLMs, Fine-Tunes and RAG Based Vector Store APIs appeared first on The Abacus.AI Blog.| The Abacus.AI Blog
On the third and final day of the National Conservatism conference, Senator Josh Hawley (R-Mo.) gave an uncompromising speech on the dangers of AI-fueled transhumanism. From 1950s eugenicists to the tech overlords of Silicon Valley today, Hawley addressed many of the dark undercurrents seething below the surface of the AI revolution. In a telling moment, Hawley emphasized that AI is continuously being curated to serve the powerful transhumanist leaders in Silicon Valley and the government: "A...| Blaze Media
Our most recent data study tests if LLM traffic converts better than search. Discover the results for a better understanding of how LLMs are driving traffic. The post Does LLM Traffic Convert Better Than Organic? A New Data-Backed Study appeared first on Amsive.| Amsive
AI is starting to be trusted with high-stakes tasks, including running automated factories and guiding military drones through hostile airspace. But when it comes to managing the data centers that power this AI revolution, human operators are far more cautious. According to a new survey of over 600 data center operators worldwide by Uptime Institute, a data center inspection and rating firm, only 14 percent say they would trust AI systems to change equipment configurations, even if it’s tra...| IEEE Spectrum
NLWeb turns Schema Markup into AI-ready data—unlocking smarter search, improved content discoverability, and faster AI integration.| Schema App Solutions
From procedural knowledge to self-organizing networks, here's how AI agents are using memory to adapt to their environments. The post Beyond context windows, here is how the memory of AI agents is evolving first appeared on TechTalks.| TechTalks
The quiet release of China's massive open-source model is making loud waves, directly challenging the dominance and business models of American AI giants. The post What we know so far about DeepSeek-V3.1, the new Chinese open-weight language model first appeared on TechTalks.| TechTalks
Google's Gemma 3 270M is a blueprint for a more sustainable AI ecosystem, where massive models help train fleets of specialized, cost-effective agents. The post Why Google’s Gemma 3 270M can signal a new direction for AI first appeared on TechTalks.| TechTalks
Databricks & Generative AI: Learn how to transform data into intelligent solutions with large language models, RAG, and scalable AI workflows.| HatchWorks AI
How the Department for Business and Trade (DBT) is improving evidence reviews.| digitaltrade.blog.gov.uk
The race for every company to embrace AI has them combining myriad and often inconsistently documented datasets in their training, The post Creating an Immutable ‘Family Tree’ for AI Training Data appeared first on The New Stack.| The New Stack | DevOps, Open Source, and Cloud Native News
China’s ByteDance is building an end-to-end language AI stack.| Slator
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn how to identify and mitigate AI bias in large language [...]Read More... from So What? AI Bias Benchmark Testing| Trust Insights Marketing Analytics Consulting
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn about prompt engineering basics and how to improve your AI interactions. [...]Read More... from So What? Revisiting Prompt Engineering Basics| Trust Insights Marketing Analytics Consulting
This data was originally featured in the July 9th, 2025 newsletter found here: INBOX INSIGHTS, July 9, 2025: Is AI Use Cheating, Context Engineering In this week’s Data Diaries, let’s break down a new AI term that you’ve probably seen the nerds talking about if you hang out in the various AI-forward chats: context engineering. [...]Read More... from Context Engineering| Trust Insights Marketing Analytics Consulting
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn about retrieval augmented generation (RAG) and how it helps you [...]Read More... from So What? Use cases for Retrieval Augmented Generation| Trust Insights Marketing Analytics Consulting
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss Retrieval Augmented Generation (RAG). You’ll learn what RAG is and how it can significantly improve the accuracy and relevance of AI responses by using your own data. You’ll understand the crucial differences between RAG and typical search engines or generative AI [...]Read More... from In-Ear Insights: What is Retrieval Augmented Generation (RAG)?| Trust Insights Marketing Analytics Consulting
The marketing world is changing fast, and one of the biggest changes we’re seeing right now is the rise of large language models (LLMs). These tools are powered by artificial intelligence (AI), and they’re starting to play a big role in how businesses create content, connect with customers, and get work done more efficiently.| THAT Blog
Agents are only as capable as the tools you give them—and only as trustworthy as the governance behind those tools. The post Agent Factory: Building your first AI agent with the tools to deliver real-world outcomes appeared first on Microsoft Azure Blog.| Microsoft Azure Blog
Instead of simply delivering information, agents reason, act, and collaborate—bridging the gap between knowledge and outcomes. Read more about agentic AI in Azure AI Foundry. The post Agent Factory: The new era of agentic AI—common use cases and design patterns appeared first on Microsoft Azure Blog.| Microsoft Azure Blog
Discover how AI reveals a 93% overlap between anxiety and depression cases, transforming our understanding of mental health diagnostics. Explore the role of AI, ethical considerations, and future implications.| Blue Headline
By manipulating conversational context over multiple turns, the jailbreak attack bypasses safety measures that prevent GPT-5 from generating harmful content. The post ‘Echo chamber’ jailbreak attack bypasses GPT-5’s new safety system first appeared on TechTalks.| TechTalks
OpenAI's GPT-5 is finally here, but a rocky rollout and mixed reviews have divided the community, creating a reality check for AI hype. The post OpenAI’s GPT-5: A reality check for the AI hype train first appeared on TechTalks.| TechTalks
The new gpt-oss open-weight models undercut OpenAI's own closed LLMs, marking a strategic pivot designed to reshape the competitive AI market. The post OpenAI’s grand return to open source: unpacking the gpt-oss release first appeared on TechTalks.| TechTalks
The Hierarchical Reasoning Model uses a simple and two-tiered structure to beat large transformers on reasoning tasks with fewer parameters and compute budget. The post New brain-inspired AI model shows a more efficient path to reasoning first appeared on TechTalks.| TechTalks
A look inside Google’s Gemini 2.5 Deep Think, the AI that uses extended "slow thinking" to solve complex math and code problems. The post What to know about Gemini 2.5 Deep Think first appeared on TechTalks.| TechTalks
Visit the post for more.| Mark Carrigan
Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and search engines to code generators and creative writing assistants. Yet behind every seemingly effortless AI conversation lies a sophisticated multi-stage modeling process that transforms raw text into intelligent, task-specific systems capable of human-like understanding and generation. Understanding the LLM modeling stages described later in this blog is crucial to be able...| Analytics Yogi
Remember when AI sounded like something ripped straight out of a sci-fi movie like 2001: A Space Odyssey? Fast forward to today—artificial intelligence surrounds us, from your inbox to your newsfeed and even in your favorite playlist. Since OpenAI burst onto the scene in 2020, AI adoption has skyrocketed, turning what once felt futuristic into […] The post Getting Started with AI: Mastering the Essentials appeared first on Premiere Creative.| Premiere Creative
Step-by-step guide to using Visual NLP for WSI de-identification, producing clean SVS or DICOM files ready for secure, compliant use.| John Snow Labs
Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex challenges for academic research and scholarship. As the […] The post A Look at How Large Language Models Transform Research appeared first on Social Science Space.| Social Science Space
Exaone 4.0 is redefining AI for business users with unmatched performance in science, math, and coding. How does it stack up against the competition?| IEEE Spectrum
Researchers jailbroke Grok-4 using a combined attack. The method manipulates conversational context, revealing a new class of semantic vulnerabilities.| TechTalks - Technology solving problems... and creating new ones
AI models are often overconfident. A new MIT training method teaches them self-doubt, improving reliability and making them more trustworthy. The post A new way to train AI models to know when they don’t know first appeared on TechTalks.| TechTalks
Back from the brink, Windsurf is "friends again" with Anthropic, integrating Claude Sonnet 4 and Devin in a bold new survival strategy. The post Windsurf navigates AI’s model-application war with Devin, renewed Anthropic pact first appeared on TechTalks.| TechTalks
Researchers discover critical vulnerability in LLM-as-a-judge reward models that could compromise the integrity and reliability of your AI training pipelines. The post LLM-as-a-judge easily fooled by a single token, study finds first appeared on TechTalks.| TechTalks
OpenAI's powerful new ChatGPT Agent redefines AI capabilities while introducing new risk and attack vectors in security and data integrity of AI systems. The post How OpenAI’s ChatGPT agent redefines AI capability and risk first appeared on TechTalks.| TechTalks
What you need to know about third-party risk management and controlling the risks of integrating LLMs and AI in your organization. The post AI third-party risk: Control the controllable first appeared on TechTalks.| TechTalks
How a DBT data team created an AI fact-checking tool during the Paris Hackathon.| digitaltrade.blog.gov.uk
We noted last week Meta’s successful efforts to hire away the best of the best AI scientists from other companies, by offering them insane (like $300 million) pay packages. Here we summarize and ex…| Economist Writing Every Day
Discover the low-level, hands-on steps of de-identifying SVS and DICOM medical images using Visual NLP, focusing on PHI hidden in metadata and pixels. Part 1| John Snow Labs
Martlet.ai is a healthcare AI company focused on redefining how payers and providers approach Hierarchical Condition Category (HCC) Coding. Founded by engineers and payment experts from John Snow Labs, this is the first of several planned spinoff companies that will address specific, high-impact healthcare industry challenges with AI.| John Snow Labs
A new paper argues that "emergent abilities" in LLMs aren't true intelligence. The difference is crucial and has implications for real-world applications. The post Are LLMs truly intelligent? New study questions the ’emergence’ of AI abilities first appeared on TechTalks.| TechTalks
To make AI more human-like, must we sacrifice its power? A new study shows why LLM efficiency creates a gap in understanding. The post Why LLMs don’t think like you: A look at the compression-meaning trade-off first appeared on TechTalks.| TechTalks
Find out how and why DDaT has taken the important step of self-hosting LLMs within a secure, internal environment.| Digital trade
In a recent live AI research paper reading, the authors of the new paper Self-Adapting Language Models (SEAL) shared a behind-the-scenes look at their work, motivations, results, and future directions....| Arize AI
Build AI agents with LangChain & LangGraph: Approaches from prebuilt ReAct to custom implementations. Complete code examples| Analytics Yogi
Behavioral health AI doesn’t code itself—at least not yet. A successful model requires deep clinical expertise and talented engineers to bring it to life.| Eleos Health
ChatGPT could perform surprisingly well when put in charge of navigating space inside a simulated spacecraft, researchers have found.| Futurism
Natural language processing (NLP) and large language models (LLMs) offer a way forward, enabling oncology teams to extract, structure, and analyze data at scale. This blog explores how AI is transforming oncology through better EHR utilization and the tangible benefits it offers clinicians, researchers, and administrators.| John Snow Labs
MCP promises easier AI integration, but is it really a standard? Learn what it is, why standardization matters, and whether review is needed.| Spherical Cow Consulting
In 2023, we gathered the data for what became “ChatGPT Hallucinates Nonexistent Citations: Evidence from Economics.” Since then, LLM use has increased. A 2025 survey from Elon Universit…| Economist Writing Every Day
Chain-of-thought tokens don't reflect genuine reasoning in LLMs is misleading. They're navigational aids devoid of true cognitive processing or reliability. The post Why we misinterpret LLM ‘reasoning’ first appeared on TechTalks.| TechTalks
This document discusses executable documents parameterization — or parameterized reports — provided by the Raku package “Text::CodeProcessing”. YAML specs, LLM templates, an…| Raku for Prediction
Understand Large Language Models (LLMs) and why they matter for AI tools like ChatGPT. Clear, straightforward answers inside.| AI GPT Journal
Productizing healthcare chatbots with John Snow Labs’ Medical LLM-as-a-Judge represents a leap forward in handling prior authorization denials. By automating the evaluation process and minimizing manual effort, healthcare providers can focus on improving patient care rather than battling administrative bottlenecks. By leveraging AWS Bedrock and John Snow Labs’ advanced LLM capabilities, the healthcare sector can not only enhance operational efficiency but also significantly reduce revenue...| John Snow Labs
Francesco de Cunzo, Aurelio Patelli, Angelica Sbardella and Andrea Tacchella pdf Abstract: This paper presents new evidence on how countries are innovating in response to the growing strategic importance of critical raw materials (CRMs). Using millions of patent abstracts from the PATSTAT database, we apply a large language model (LLM) to classify CRM-related inventions into […]| Papers in Evolutionary Economic Geography
Connecting the Dots for Better Movie Recommendations: Lightweight graph RAG on Rotten Tomatoes movie reviews| Towards Data Science
A beginner-friendly tutorial of MCP architecture, with the focus on MCP server components and applications, guiding through the process of building a custom MCP server that enables code-to-diagram.| Towards Data Science
AWS service enables machine learning innovation on a robust foundation.| Amazon Science
Novel “checkpointing” scheme that uses CPU memory reduces the time wasted on failure recovery by more than 92%.| Amazon Science
This document shows how to efficiently do streamlined Function Calling workflows with Large Language Models (LLMs) of Gemini.| Raku for Prediction
This document shows how to do Function Calling workflows with Large Language Models (LLMs) of Google's Gemini.| Raku for Prediction
This document shows how to do Function Calling workflows with Large Language Models (LLMs) of OpenAI.| Raku for Prediction
Emerging AI technologies like RAG and vector databases enhance business intelligence, driving efficiency through smarter, context-aware responses. The post RAG, vector databases, and LLM search: The future of AI-powered business intelligence first appeared on TechTalks.| TechTalks
There is significant doubt about the trustworthiness of chain-of-thought traces in large language models, challenging developers' reliance on them for AI safety. The post Anthropic study reveals LLM reasoning isn’t always what it seems first appeared on TechTalks.| TechTalks
This blog post demonstrates how to create military forces interaction graphs by applying the same techniques used for creating graphs for Rock-Paper-Scissors game variations.| Raku for Prediction
Explore how AI search engines like Google’s SGE and ChatGPT generate answers using LLMs, RAG and knowledge graphs. Learn how your content can earn citations in AI–powered overviews and drive next–level visibility with GEO.| Digivate
Today I am announcing Dolphin, an open-source and uncensored, and commercially licensed dataset and series of instruct-tuned language models based on Microsoft's Orca paper. The dataset is released here, with Apache-2.0 license. The dataset can be us...| Cognitive Computations
It's been a while. And I'm digging into Machine Learning. I was watching the excellent video by Andrej Karpathy about how to write a GPT (of which GPT-3 is an example) from scratch, using the paper "Attention is all you need" I implemented it from s...| Cognitive Computations
Stanford's "Think, Prune, Train" framework enables LLMs to enhance reasoning skills through self-generated data, leading to more efficient and smarter systems. The post Can LLMs learn to reason without RL or large datasets? first appeared on TechTalks.| TechTalks
Alibaba's Qwen3 open-weight LLMs combine direct response and chain-of-thought reasoning in a single architecture, and compete withe leading models. The post Alibaba’s Qwen3: Open-weight LLMs with hybrid thinking first appeared on TechTalks.| TechTalks
If you think in terms of the JBTD framework, Deep Search products can save you a ton of time and effort in finding new product and market opportunities. The post How to turbocharge your product and market research with DeepSearch first appeared on TechTalks.| TechTalks
The "Era of Experience" envisions AI's evolution beyond human data, emphasizing self-learning from real-world interactions. But challenges loom for this vision. The post Are we at the cusp of a new era for artificial intelligence? first appeared on TechTalks.| TechTalks
I developed Prompt Library, a web tool for organizing prompts with features like editing, tagging, and exporting.| Code Capsule | A blog by Emmanuel Goossaert
Theoretical analysis provides insight into the optimization process during model training and reveals that for some optimizations, the Gaussian attention kernel may work better than softmax.| Amazon Science
Using large language models to discern commonsense relationships can improve performance on downstream tasks by as much as 60%.| Amazon Science
This post shows how to generate and plot graphs of various extensions of the hand game Rock-Paper-Scissors. LLMs are used to simplify the graph generation.| Raku for Prediction
Data, Data Science, Machine Learning, Deep Learning, Analytics, Python, R, Tutorials, Tests, Interviews, News, AI| Analytics Yogi
HNSW (Hierarchical Navigable Small World) has become the go-to algorithm for many vector databases. Its multi-layered graph structure and ability to efficiently navigate vector embeddings make it particularly appealing. However, despite its apparent ...| VectorChord
"Every professor I know wasted countless hours of 2024 in the prevention or detection of AI-powered cheating. It is a miserable war of attrition that seems doomed to defeat. Perhaps the time has come, then, to declare a strategic withdrawal from writing as pedagogy?" That's Regina Rini (York) in the Times Literary Supplement. She observes| Daily Nous - news for & about the philosophy profession
As artificial intelligence (or "artificial intelligence" if you insist) is put to increased use in an increased variety of ways, teaching about it has been increasing, too. A reader writes in: With the recent explosion in demand for expertise and/or teaching competence in philosophy/ethics of AI, I wondered if there might be a public thread| Daily Nous - news for & about the philosophy profession
Attribute-controlled fine-tuning can produce LLMs that adhere to policy while achieving competitive performance on general benchmarks.| Amazon Science
The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new open source platform to support this new form of qualitative research.| Social Science Space
Is it part of your book contract that your publisher may license your book to the makers of ChatGPT or other large language models or forms of generative AI? If given the choice, should you go along with it? Those are the questions raised in a recent email from a philosophy professor. He writes: Last| Daily Nous - news for & about the philosophy profession
The internet is awash with fears over what impact AI-powered products and services like ChapGPT will have on life as we know it. Will large language models (LLMs) take over everyone’s jobs? Will AIs take over lethal autonomous weapons, … The post What Impact Will Large Language Models Have on the Web? appeared first on ConsortiumInfo.org.| ConsortiumInfo.org
AI Agentic Reasoning Design Patterns, AI Agents, LLM Agents Design Patterns, Design Patterns, LLMs, Large Language Models, Machine Learning| Analytics Yogi
New hardware capabilities have enabled transformational AI technologies in many industries and applications. One of those industries is hardware design itself, the very discipline that enabled incr…| SIGARCH
Researchers from Stanford and Princeton University finely tuned a large language model to help Santa Clara County, California, meet a strenuous state mandate.| StateScoop
Large Language Models (LLMs) for Adaptive Learning & Personalized Education, Deep Learning, Real-world Examples| Analytics Yogi
Artificial Intelligence (AI) can do astonishing things, like summarize complex data or generate creative content in seconds. Unfortunately, it also […]| Wisecube AI – Research Intelligence Platform
Venkat Rao's essay on AI chatbots and personhood provides everything you need to know about the nature of humanity.| Mike Casey
Technology and language are good places to start when thinking about what makes humans unique, and between them, language triumphs. Language is a prerequisite for technology, science…| Social Epistemology Review and Reply Collective
Guillaume Rachez, VP of Product at Perfect Memory, talks with Doug Kimball about why knowledge graphs offer the most efficient access to information.| Ontotext
Why is it so easy to humanize chatbots? Did millions of years of human evolution set us up to see a "mind in the machine"?| Practical Ethics
Impressions from the initial roll-out of the AI governance framework form.| digitaltrade.blog.gov.uk
Ask-a-Metric is a WhatsApp-based AI data analyst that uses LLMs to answer SQL database queries, facilitating data access for decision-making in the development sector (GitHub). Initially, we used a simple pipeline for rapid feedback but faced challenges in accuracy and building it for scale. We tested an agentic approach with CrewAI, improving accuracy but ending up with high costs and slow response speeds. We used these results to develop a pseudo-agent pipeline that combines the best of bot...| Tech notes
How DBT has been working with partners across government to learn about the potential value that AI tools could bring to our support for businesses.| digitaltrade.blog.gov.uk
If you used Microsoft Office in the early days, you probably remember Clippy. Clippy was an animated paper clip and go-to assistant for all things Microsoft Office. It provided users...| Arize AI
