GDDR7 Tackles Massive-Context AI Inference
As inference proliferates to edge servers and endpoints, memory solutions must balance performance, cost, and power efficiency.| Semiconductor Engineering
MCP is 'an open protocol that standardizes how applications provide context to LLMs.' If we’re moving toward a world where AIs are expected to do All The Things, interfacing with our applications and services, then having a universal adapter that lets AIs talk to everything is undeniably powerful. The post The MCP Bandwagon appeared first on Spherical Cow Consulting.| Spherical Cow Consulting
A new open-source framework turns ephemeral conversations with AI coding agents into durable, production-ready artifacts for software. The post Beyond vibe coding: How Codev brings structure to AI-generated software first appeared on TechTalks.| TechTalks
Anthropic is moving beyond complex protocols with Claude Skills, a system that uses simple folders and scripts to transform generalist LLMs into multi-skilled agents. The post Inside Claude Skills: Anthropic’s new pattern for customizing LLMs first appeared on TechTalks.| TechTalks
The Tiny Recursive Model proves "less is more," allowing a simple two-layer network to master complex logic puzzles that stump even the largest AIs. The post Samsung’s Tiny Recursive Model solves complex puzzles better than giant LLMs first appeared on TechTalks.| TechTalks
In this episode of Talking AI, host Matt interviews Patrick Leung, CTO and co-founder of Faro Health, about the transformative potential of AI in clinical trials. They discuss the challenges of drug development, the concept of Eroom’s Law, and how AI can expedite the clinical documentation process. Patrick explains Faro Health’s innovative approach to using […] The post AI in Healthcare: Accelerating Clinical Trials with Patrick Leung appeared first on HatchWorks AI.| HatchWorks AI
As inference proliferates to edge servers and endpoints, memory solutions must balance performance, cost, and power efficiency.| Semiconductor Engineering
The Data, Agents, and Processes Lab (DAPLab) will present a slate of new research at the Symposium on Operating Systems Principles (SOSP 2025) workshops, spanning agentic infrastructure and self-tuning kernels. The research highlights the future of … Continue reading CS Researchers at SOSP 2025| Department of Computer Science, Columbia University
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 approach a data quality audit in an AI-ready world. [...]Read More... from So What? The AI-Ready Data Quality Audit| Trust Insights Marketing Analytics Consulting
Researchers and industry experts at AMTA 2025 discussed the latest in AI translation — from multi-agent and multi-modal systems to enterprise adoption and linguists’ training. The post 10 AI Translation Takeaways from AMTA 2025 appeared first on Slator.| Slator
Vibe-coding platforms are dishing out code faster than ever before. But software engineering is more than just prompting LLMs. The post Why vibe coding won’t kill software engineering first appeared on TechTalks.| TechTalks
Claude Sonnet 4.5 offers incremental improvements, impressive long-term coding capabilities, and key token efficiencies to reclaim its enterprise market leadership. The post Claude Sonnet 4.5 takes reshuffles the AI coding leaderboard with token efficiency, long-horizon task performance first appeared on TechTalks.| TechTalks
A technique proven in computer vision is now being applied to language models, aiming for a deeper level of understanding and superior task performance. The post LLM-JEPA combines the best of generative and predictive AI first appeared on TechTalks.| TechTalks
In-context learning is learning, but it's a brittle, superficial process that relies more on patterns than true understanding. The post Is LLM in-context learning real learning? A Microsoft study says yes, but it’s not what you think first appeared on TechTalks.| TechTalks
xAI's latest model achieves top-tier performance on par with competitors like Gemini 2.5 Pro while slashing costs by 98%, signaling a new era for developers. The post xAI’s Grok 4 Fast delivers top-tier AI performance at a fraction of the cost first appeared on TechTalks.| TechTalks
Large Language Models, or LLMs, have become one of the most talked-about technologies in AI today. From powering chatbots like ChatGPT to assisting developers in writing code, LLMs are changing the way businesses interact with information and customers. Therefore, businesses looking to integrate AI into their workflows are increasingly exploring LLM development services to build […] The post Large Language Models (LLMs): Types, Benefits, and Risks appeared first on Softude.| Softude
Build search for AI agents with Exa’s Thais Castello Branco: GEO vs AEO, LLM-ready content, and how to get cited by AI, not just ranked.| HatchWorks AI
This blog posts shows how to utilize Large Language Model (LLM) «Function Calling» with the Raku package “LLM::Functions”, which supports high level LLM function calling via llm-synthes…| Raku for Prediction
IBM launches Granite 4.0, its latest enterprise AI model, delivering high performance and cost-efficient solutions for business applications.| AIT365
Abstract| Social Epistemology Review and Reply Collective
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? you’ll learn about the different versions of Microsoft Copilot and how each functions. You will understand the [...]Read More... from So What? A Walkthrough of Microsoft Copilot| Trust Insights Marketing Analytics Consulting
Anthropic’s Economic Index highlights translators’ use of AI, showing which tasks skew toward automation and which remain human-led.| Slator
These powerful informational tools for caregivers of pediatric cancer patients vary in areas such as readability and source credibility, highlighting the need to carefully consider their clinical utility.| Pediatrics Nationwide
A new Google DeepMind study reveals a fundamental bottleneck in single-vector embeddings, explaining why even the most advanced RAG systems can fail unexpectedly. The post New DeepMind research reveals a fundamental limit in vector embeddings for RAG applications first appeared on TechTalks.| TechTalks
By compressing retrieved documents into efficient embeddings, REFRAG slashes latency and memory costs without modifying the LLM architecture or response quality. The post Meta’s REFRAG speeds up RAG systems by 30x without sacrificing quality first appeared on TechTalks.| TechTalks
This compact embedding model is a key piece in a larger strategy of small language models, favoring a fleet of efficient specialists models over one large LLM. The post How Google’s EmbeddingGemma can unlock new edge AI applications first appeared on TechTalks.| TechTalks
What are good policy options for academic journals regarding the detection of AI generated content and publication decisions? As a group of associate editors of Dialectica note below, there are several issues involved, including the uncertain performance of AI detection tools and the risk that material checked by such tools is used for the further training| Daily Nous - news for & about the philosophy profession
...how do you make that happen? Leave aside disputes over whether, as teachers, we should allow our students to use AI, or make use of it as a teaching tool, or incorporate into assignments. Suppose, for the sake of this discussion, that we've considered all of the pros and cons and have decided it's best| Daily Nous - news for & about the philosophy profession
This document provides visual dictionaries for the interpretation of graph-plots of LLM-graphs.| Raku for Prediction
One of the “standard” things to do with an Agentic Artificial Intelligence (AI) system is to summarize (large) texts using different Large Language Model (LLM) agents. This document ill…| Raku for Prediction
Tired of robotic chatbots? Janitor AI is changing conversational AI with a human-like personality, deep customisation, and support for multiple language models.| IntelligentHQ
Bots and large language models are clogging the web and crowding out humans. AI is consuming lakes of fresh water and gigawatts of electricity. It is chewing up hundreds of billions of dollars with no sign of profit in sight. Tell me again why this is a good thing. Exhibit #1: I had realised that […] The post AI is a pain in the neck appeared first on Photo Time Tunnel.| Photo Time Tunnel
Posted by Wei Wei, Developer AdvocateLarge language models (LLMs) are taking the world by storm, thanks to their powerful ability to generate text, translate languages, and answer questions in a coherent and informative way. At Google I/O 2023, we released the PaLM API as ‘public preview’ so that many developers can start building apps with it. While PaLM API already has excellent documentation on its extensive usage and best practices, in this blog we are going to take a more focused app...| The TensorFlow Blog
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
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.| Amsive
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
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
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
Instead of simply delivering information, agents reason, act, and collaborate—bridging the gap between knowledge and outcomes. Learn more about agentic AI in Azure AI Foundry.| 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
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
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
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
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.| digitaltrade.blog.gov.uk
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
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
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
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
Data, Data Science, Machine Learning, Deep Learning, Analytics, Python, R, Tutorials, Tests, Interviews, News, AI| Analytics Yogi
"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
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
Difference between Completion model vs Chat model, Python Examples, Completion Model, Chat Model, Completion vs Chat LLM| Analytics Yogi
We’re on a journey to advance and democratize artificial intelligence through open source and open science.| huggingface.co
We are excited to see Meta release Llama 2, to help further democratize access to LLMs. Making such models more widely available will facilitate efforts across the AI community to benefit the world at large. The post Accelerate Llama 2 with Intel AI Hardware and Software Optimizations appeared first on Intel Gaudi Developers.| Intel Gaudi Developers
Large language models can effectively handle complicated data and natural language processing tasks.| Express Analytics
Everything you need to know about Claude 3 from Anthropic, which includes the Haiku, Sonnet, and Opus models.| Arize AI
