Do You Really Need GraphRAG? A Practitioner’s Guide Beyond the Hype | Towards Data Science
A perspective on GraphRAG design best practices, challenges and learnings| Towards Data Science
Which is actually how some people do it The post How to Build an Over-Engineered Retrieval System appeared first on Towards Data Science.| Towards Data Science
LLMs are a seamless way to find value in your unstructured data, but the truth is, there is so much more value hidden within your structured data. This post explores what LLMs are (and aren’t) optimized for and how the industry is approaching AI over structured business datasets – including one approach developed by my team and me. The post Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises appeared first on Towards Data Science.| Towards Data Science
This is how to build an AI-powered Song Explainer using Python and OpenAI The post Music, Lyrics, and Agentic AI: Building a Smart Song Explainer using Python and OpenAI appeared first on Towards Data Science.| Towards Data Science
A surprising connection between the newest AI models and a 50-year old academic field The post LLMs Are Randomized Algorithms appeared first on Towards Data Science.| Towards Data Science
A perspective on GraphRAG design best practices, challenges and learnings| Towards Data Science
See how healthcare-specific LLMs automate quality reporting, boost Stars ratings, and streamline HEDIS measure closures.| John Snow Labs
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
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
In this episode, Matt Paige and Thais Castello Branco discuss the evolving landscape of search technologies, focusing on the shift from traditional SEO to new disciplines like Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). They explore how Long Language Models (LLMs) are transforming search behavior, causing consumers to pivot from traditional tools like […] The post Building Search for AI Agents with Exa appeared first on HatchWorks AI.| HatchWorks AI
Salesforce's new 3B model unifies text-to-image generation and editing in a single, open-source architecture. The post BLIP3o-NEXT: A new challenger in open-source AI image generation first appeared on TechTalks.| TechTalks
How co-designing a language model with its environment created a specialized AI 4x faster than its frontier-level peers. The post Why Cursor’s custom coding LLM challenges AI giants first appeared on TechTalks.| TechTalks
A simple parsing error allows crafted URLs to become powerful, malicious commands that dupe AI browsers such as OpenAI Atlas. The post Security flaw in OpenAI’s Atlas browser is a warning for all AI agents first appeared on TechTalks.| TechTalks
Large language models (LLMs) are everywhere in the news. From chatbots that help customers to tools that write reports automatically, they promise big changes for businesses. But the reality is clear: just having the technology isn’t enough. Success comes from using it smartly and managing it well. This is where hiring large language model experts […] The post 8 Reasons Why Enterprises Should Take LLM Consulting Services appeared first on Softude.| Softude
How DBT created it's first public-facing online tool to help businesses find funding opportunities.| digitaltrade.blog.gov.uk
Explore 3 secure ways to deploy John Snow Labs Medical LLMs on Databricks for healthcare AI at scale. The post Deploying John Snow Labs Medical LLMs on Databricks: Three Flexible Deployment Options appeared first on John Snow Labs.| John Snow Labs
John Snow Labs is proud to announce its participation as an industry partner in UNIFIED (Unifying Framework for Patient-Centred Clinical-study Endpoints Derived from Digital Health Technologies) — a groundbreaking five-year, €27 million global initiative funded by the Innovative Health Initiative (IHI) under the Horizon Europe program. The post John Snow Labs to Lead Medical Language Work in Horizon Europe’s €27M UNIFIED Project appeared first on John Snow Labs.| John Snow Labs
John Snow Labs' NLP and LLMs extract cancer insights, automate reporting, and support precision oncology at scale. The post Success Stories of Language Models Enhancing Oncology Care Delivery appeared first on John Snow Labs.| John Snow Labs
John Snow Labs' multimodal AI integrates imaging, text, and labs to improve diagnostic accuracy and clinician confidence. The post Reducing Diagnostic Errors Through Multimodal AI Integration appeared first on John Snow Labs.| John Snow Labs
Explore how foundation models streamline radiology workflows with scalable, multimodal AI solutions The post The Impact of Foundation Models on Radiology Workflows appeared first on John Snow Labs.| John Snow Labs
Learn how to train healthcare teams to adopt AI safely and effectively. Explore John Snow Labs' October training events. The post How Can Healthcare Teams Be Trained to Adopt AI Technologies? appeared first on John Snow Labs.| John Snow Labs
Martlet.ai’s new RADV platform helps payers audit-proof HCC coding with NLP, LLMs, and secure on-premise deployment. The post Martlet.ai Launches RADV Audit Readiness Platform to Help Health Plans Prepare for CMS Audit Expansion appeared first on John Snow Labs.| John Snow Labs
AI chatbots offer 24/7, stigma-free mental health support with ethical design and clinical safeguards in place. The post AI Chatbots & Mental Health: Scalable Support with Ethical Guardrails appeared first on John Snow Labs.| John Snow Labs
Natural Language Processing enables large-scale analysis of unstructured clinical notes, extracting structured data for decision support, research, and patient monitoring. With techniques like Named Entity Recognition, assertion detection, and temporal modeling, NLP captures rich clinical context. John Snow Labs’ scalable, Spark-based pipelines offer HIPAA- and GDPR-compliant deployments, supporting millions of notes across specialties like oncology, cardiology, and infectious disease. The ...| John Snow Labs
New partnership enables secure, agentic AI for pharmacy benefits, prior auth, and longitudinal care—no external APIs needed. The post John Snow Labs and Lunar Analytics Partner to Drive Transparent Healthcare Benefits with Agentic AI appeared first on John Snow Labs.| John Snow Labs
New multimodal AI cuts cancer registry abstraction time from 2 hours to 2 minutes, boosting productivity up to 100x. The post John Snow Labs Cuts Cancer Registry Abstraction Time from Hours to Minutes, Delivering 60–100x Productivity Gains appeared first on John Snow Labs.| John Snow Labs
Generative AI is driving transformation in healthcare by creating synthetic data, augmenting diagnostics, and enabling personalized care. Through models like GANs, diffusion models, and large language models (LLMs), it supports radiology, drug discovery, genomics, and clinical trials. John Snow Labs develops explainable, regulatory-grade generative pipelines tailored to healthcare’s safety and compliance standards, helping organizations deploy this technology responsibly and effectively. Th...| John Snow Labs
AI-powered conversational agents improve patient education by offering 24/7, personalized, and accessible support. They enhance engagement, comprehension, and treatment adherence while reducing clinician burden. These agents use advanced NLP and LLMs—like those from John Snow Labs—to interpret queries, deliver accurate information, and guide patients through chronic care, preventive education, and post-visit instructions. With integration into EHRs and multilingual support, they help brid...| John Snow Labs
Health AI systems require transparency to gain trust, ensure patient safety, and meet strict regulatory standards. This includes making AI decision-making explainable, audit-ready, and fair. Transparency fosters clinician validation, supports patient understanding, and aligns with legal mandates such as the FDA’s Good Machine Learning Practice and the EU AI Act. John Snow Labs embeds explainability and auditability into its NLP and LLM pipelines, helping healthcare organizations deploy AI r...| John Snow Labs
Explore how medical LLMs improve clinical documentation, triage, ops, and patient engagement across healthcare. The post Medical LLMs in Action: Real-World Applications in Healthcare appeared first on John Snow Labs.| John Snow Labs
Explore how Generative AI Lab 7.4 boosts efficiency in LLM workflows with improved analytics, simplified prompt imports, faster integrations, and flexible project setup—helping teams deliver insights faster in healthcare and beyond. The post Streamlining Your LLM Workflow: Improvements in Generative AI Lab 7.4 (Part 2) appeared first on John Snow Labs.| John Snow Labs
Explore ethical frameworks that guide safe, fair, and effective use of generative AI in healthcare. The post Ethical Frameworks for Generative AI in Clinical Settings appeared first on John Snow Labs.| John Snow Labs
Explore how LLMs like John Snow Labs Medical Chatbot summarize complex medical research.| John Snow Labs
Pydantic and Large Language Models: A High-Level Overview Large Language Models (LLMs) such as GPT-4o deliver powerful natural language understanding and generation capabilities. However, one of the key challenges with LLMs in practical applications is managing their outputs, which are often unstructured, inconsistent, and unpredictable. This makes it difficult to integrate them reliably into real-world systems that require precise, validated data. Pydantic, a Python library built around...| Kasadara Technology Solutions
Self-driving cars don’t get better by sitting in a lab. They improve by driving millions of miles, capturing edge cases, and feeding that data back into training. Tesla’s fleet generates... The post Building the Data Flywheel for Smarter AI Systems with Arize AX and NVIDIA NeMo appeared first on Arize AI.| Arize AI
In our latest AI research paper reading, we hosted Santosh Vempala, Professor at Georgia Tech and co-author of OpenAI’s paper, “Why Language Models Hallucinate.” This paper offers one of the... The post OpenAI’s Santosh Vempala Explains Why Language Models Hallucinate appeared first on Arize AI.| Arize AI
Explore how Pydantic enhances Large Language Models by ensuring data validation, structure, and reliability in AI applications.| Kasadara Technology Solutions
If you’ve built a “Naive” RAG pipeline, you’ve probably hit a wall. You’ve indexed your documents, but the answers are… mediocre. They’re out of context, they miss the point, or they just feel wrong. Here’s the truth: Your RAG system is only as good as its chunks. Chunking—the process of breaking your documents into searchable pieces—is one of the most important decision you will make in your RAG pipeline. It’s not just “preprocessing”; it is the foundation of your A...| Analytics Yogi
If you’re starting with large language models, you must have heard of RAG (Retrieval-Augmented Generation). It’s the magic that lets AI chatbots talk about your data—your company’s PDFs, your private notes, or any new information—without “hallucinating.” It might sound complex, but the core logic of a simple RAG pipeline can be boiled down to six simple steps. We’re going to walk through the “conductor” script that runs this pipeline, showing you how data flows from a raw ...| Analytics Yogi
The Data, Agents, and Processes Lab (DAPLab) will present a slate of new research at the Symposium on Operating Systems Principles … Continue reading CS Researchers at SOSP 2025| www.cs.columbia.edu
Polaris AI leverages Google Cloud’s Gemini family of multimodal models and Eleos’ secure and clinically validated infrastructure to reduce documentation burden, strengthen compliance and help providers focus on care. Boston, MA — Oct. 20, 2025 — Eleos, the leader in AI for post-acute care, today announced the launch of Polaris AI, built in collaboration with […] The post Eleos to Launch Polaris AI Advanced, Purpose-Built Foundational AI Model for Post-Acute Care, built with Google C...| Eleos Health
In this week’s Data Diaries, let’s talk about breaking down a process. This is something that Katie advises all the time in things like our AI-Ready Strategist Course. One of my favorite tricks for doing this is, unsurprisingly, to use AI. Here’s how. First, open the voice memos app or voice transcription app of your choice. [...]Read More... from Process Documentation with AI| Trust Insights Marketing Analytics Consulting
This blog was originally featured in the September 17th, 2025 newsletter found here: INBOX INSIGHTS: AI Decisioning, Deep Fact Checking Should You Let AI Make Your Decisions? Last week, I found myself standing in my kitchen at 5 AM, staring at my coffee maker while my brain was already spinning with the day ahead. Forty-seven [...]Read More... from AI Decisioning| Trust Insights Marketing Analytics Consulting
Susan Schneider (2025) argues that AI chatbots pose a threat to human autonomy that is difficult for users to detect. Like the proverbial frog in the pot of water that is slowly heating to a deadly boil, we are unaware... Read More ›Source| Social Epistemology Review and Reply Collective
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
As inference proliferates to edge servers and endpoints, memory solutions must balance performance, cost, and power efficiency.| Semiconductor Engineering
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
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
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
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
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) - Four Critical Modeling Stages - Preprocessing, Pretraining, Finetuning, Deployment| Analytics Yogi
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
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
Find out how and why DDaT has taken the important step of self-hosting LLMs within a secure, internal environment.| digitaltrade.blog.gov.uk
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
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
