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Agentic AI 2026 â RAG, Enterprise Agents & Production Tools
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Silicon Darwinism: Why Scarcity Is the Source of True Intelligence
The concept of Silicon Darwinism suggests that true intelligence in artificial intelligence arises from scarcity and constrained environments, rather than relying on larger data centers or increased computational resources. This idea challenges the conventional notion that bigger is better, instead proposing that limitations can drive innovation and lead to more efficient and effective AI systems.
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A Beginnerâs Reading List for Large Language Models for 2026
The field of large language models (LLMs) continues to evolve rapidly, transforming the industry with its advancements and innovations. As LLMs reinvent themselves, it's essential to stay updated with the latest developments, making a beginner's reading list for 2026 a valuable resource for those looking to dive into this cutting-edge technology.
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How generative AI can help scientists synthesize complex materials
The DiffSyn model, developed by MIT researchers, utilizes generative AI to provide recipes for synthesizing complex materials, accelerating the experimentation process and reducing the time from hypothesis to practical application. By leveraging AI-driven synthesis, scientists can explore a vast range of material combinations and properties, leading to potential breakthroughs in materials science.
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Enterprises are measuring the wrong part of RAG
Enterprises are mis-measuring the effectiveness of RAG (Retrieval-Augmented Generation) by focusing on the wrong aspects, as retrieval has become a critical system dependency for grounding LLMs (Large Language Models) in proprietary data. This shift requires a re-evaluation of how RAG is integrated and measured within AI systems to support decision-making and deployment.
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Distributed Reinforcement Learning for Scalable High-Performance Policy Optimization
This research explores the application of distributed reinforcement learning to achieve scalable high-performance policy optimization, leveraging techniques such as massive parallelism and asynchronous updates. By utilizing multi-machine training, the approach aims to match an
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Most RAG systems donât understand sophisticated documents â they shred them
Most RAG systems struggle to effectively process and understand complex documents, such as those used in heavy engineering industries, often resulting in incomplete or inaccurate information retrieval. This limitation hinders the potential of RAG systems to democratize corpora
Read MoreShare on XHow to Apply Agentic Coding to Solve Problems
Agentic coding is a paradigm that leverages coding agents to efficiently solve complex problems by enabling autonomous decision-making and adaptive behavior. By applying agentic coding, developers can create more efficient and scalable solutions to real-world problems.
Read MoreShare on XHow to Run Claude Code for Free with Local and Cloud Models from Ollama
Ollama provides a solution to run Claude code for free using local and cloud models, leveraging Anthropic API compatibility. This allows developers to utilize Claude's capabilities without incurring significant costs, making it more accessible for testing and deployment.
Read MoreShare on XAnnouncing Databricks New York R&D Hub
Databricks has launched a new R&D and Engineering hub in New York City, aiming to drive innovation and development in the field of data engineering and analytics. This hub will likely focus on advancing technologies such as data lakes, machine learning, and cloud-based data pr
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OpenClaw proves agentic AI works. It also proves your security model doesn't. 180,000 developers just made that your problem.
OpenClaw, an open-source AI assistant, has gained significant traction with 180,000 GitHub stars and 2 million visitors, demonstrating the potential of agentic AI. However, security scans have revealed over 1,800 exposed instances leaking API keys, highlighting vulnerabilities
Read MoreShare on XThe philosophical puzzle of rational artificial intelligence
The development of rational artificial intelligence poses philosophical puzzles that require interdisciplinary approaches to equip students with critical thinking skills in computing. A new course aims to provide foundational knowledge in computing, addressing the complexities
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Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI
Evaluating the performance of large language models (LLMs) requires moving beyond statistical metrics and incorporating more nuanced judging methods, such as Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI. This approach enables a more comprehensive assessment of generative
Read MoreShare on XGetting AI Governance Right Without Slowing Everything Down
Effective AI governance is crucial for enterprises to scale AI adoption without compromising on responsibility, requiring a balance between control and agility. Implementing AI governance frameworks can help mitigate risks and ensure compliance, while also enabling organizatio
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Arcee's U.S.-made, open source Trinity Large and 10T-checkpoint offer rare look at raw model intelligence
Arcee, a San Francisco-based AI lab, has released its Trinity Large and 10T-checkpoint models under open source licenses, providing a rare glimpse into the raw intelligence of large language models (LLMs) trained from scratch in the U.S. This move enables developers and enterp
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This tree search framework hits 98.7% on documents where vector search fails
The PageIndex framework addresses a limitation of retrieval-augmented generation (RAG) by effectively handling very long documents, achieving a 98.7% success rate in cases where vector search fails. This open-source framework improves upon the classic RAG workflow by enhancing
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The trust paradox killing AI at scale: 76% of data leaders can't govern what employees already use
The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to...
Read MoreShare on XScale AI in South Africa using Amazon Bedrock global cross-Region inference with Anthropic Claude 4.5 models
In this post, we walk through how global cross-Region inference routes requests and where your data resides, then show you how to configure the required AWS Identity and Access Management (IAM) permissions and invoke Claude 4.5 models using the global inference profile Amazon Resource Name (ARN...
Read MoreShare on XCreating an Etch A Sketch App Using Python and Turtle
A beginner-friendly Python tutorial The post Creating an Etch A Sketch App Using Python and Turtle appeared first on Towards Data Science ....
Read MoreShare on XWhy Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the âBag of Agentsâ
Hard-won lessons on how to scale agentic systems without scaling the chaos, including a taxonomy of core agent types. The post Why Your Multi-Agent System is Failing: Escaping the 17x Error Trap of the âBag of Agentsâ appeared first on Towards Data Science ....
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AI models that simulate internal debate dramatically improve accuracy on complex tasks
A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise. Their experiments demonstrate that this internal debate, which they dub â society of thought ,â sign...
Read MoreShare on XHidden Technical Debt of GenAI Systems
IntroductionIf we broadly compare classical machine learning and generative AI workflows......
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January 2026: LangChain Newsletter
Read about the latest product updates, events, and content from the LangChain team...
Read MoreShare on XScaling content review operations with multi-agent workflow
The agent-based approach we present is applicable to any type of enterprise content, from product documentation and knowledge bases to marketing materials and technical specifications. To demonstrate these concepts in action, we walk through a practical example of reviewing blog content for technica...
Read MoreShare on X7 Important Considerations Before Deploying Agentic AI in Production
The promise of agentic AI is compelling: autonomous systems that reason, plan, and execute complex tasks with minimal human intervention....
Read MoreShare on XContext Management for Deep Agents
By Chester Curme and Mason Daugherty As the addressable task length of AI agents continues to grow , effective context management becomes critical to prevent context rot and to manage LLMs’ finite memory constraints. The Deep Agents SDK is LangChain’s open source, batteries-included ag...
Read MoreShare on XMachine Learning in Production? What This Really Means
From notebooks to real-world systems The post Machine Learning in Production? What This Really Means appeared first on Towards Data Science ....
Read MoreShare on XI Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)
A step-by-step guide to building a âMinority Reportâ-style interface using OpenCV and MediaPipe The post I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python) appeared first on Towards Data Science ....
Read MoreShare on XBuild reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpayâs journey on GenAI evaluation
In this post, we walk you through Pushpay's journey in building this solution and explore how Pushpay used Amazon Bedrock to create a custom generative AI evaluation framework for continuous quality assurance and establishing rapid iteration feedback loops on AWS....
Read MoreShare on XAgent Bricks Knowledge Assistant Is Now Generally Available: Turning Enterprise Knowledge into Answers
Some of your companyâs most valuable data is still hard to access. Documents, slides,......
Read MoreShare on XGoing Beyond the Context Window: Recursive Language Models in Action
Explore a practical approach to analysing massive datasets with LLMs The post Going Beyond the Context Window: Recursive Language Models in Action appeared first on Towards Data Science ....
Read MoreShare on XBuild an intelligent contract management solution with Amazon Quick Suite and Bedrock AgentCore
This blog post demonstrates how to build an intelligent contract management solution using Amazon Quick Suite as your primary contract management solution, augmented with Amazon Bedrock AgentCore for advanced multi-agent capabilities....
Read MoreShare on XThe 3 Invisible Risks Every LLM App Faces (And How to Guard Against Them)
Building a chatbot prototype takes hours....
Read MoreShare on XAlyah âď¸: Toward Robust Evaluation of Emirati Dialect Capabilities in Arabic LLMs
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Read MoreShare on XEnterprise AI Agent Trends: Top Use Cases, Governance + Evaluations and More
Thereâs a rapid shift happening in enterprise AI. Organizations are transitioning......
Read MoreShare on XBuild a serverless AI Gateway architecture with AWS AppSync Events
In this post, we discuss how to use AppSync Events as the foundation of a capable, serverless, AI gateway architecture. We explore how it integrates with AWS services for comprehensive coverage of the capabilities offered in AI gateway architectures. Finally, we get you started on your journey with ...
Read MoreShare on XHow Totogi automated change request processing with Totogi BSS Magic and Amazon Bedrock
This blog post describes how Totogi automates change request processing by partnering with the AWS Generative AI Innovation Center and using the rapid innovation capabilities of Amazon Bedrock....
Read MoreShare on XScaling Small LLMs with NVIDIA MPS
Small models are rapidly becoming more capable and applicable across a wide variety of enterprise use cases......
Read MoreShare on XNVIDIA Launches Earth-2 Family of Open Models â the Worldâs First Fully Open, Accelerated Set of Models and Tools for AI Weather
At the American Meteorological Societyâs Annual Meeting, NVIDIA today unveiled a new NVIDIA Earth-2 family of open models, libraries and frameworks for weather and climate AI, offering the worldâs first fully open, production-ready weather AI software stack....
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Categories of Inference-Time Scaling for Improved LLM Reasoning
And an Overview of Recent Inference-Scaling Papers...
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Hybrid cloud moves from infrastructure choice to AI execution layer
Hybrid cloud is no longer just an infrastructure compromise â itâs increasingly the execution layer that determines whether enterprise artificial intelligence can move from promise to production. As AI moves into production, hybrid cloud strategies are being reshaped by the realities of inference, d...
Read MoreShare on XBuild AI agents with Amazon Bedrock AgentCore using AWS CloudFormation
Amazon Bedrock AgentCore services are now being supported by various IaC frameworks such as AWS Cloud Development Kit (AWS CDK), Terraform and AWS CloudFormation Templates. This integration brings the power of IaC directly to AgentCore so developers can provision, configure, and manage their AI agen...
Read MoreShare on XHow the Amazon.com Catalog Team built self-learning generative AI at scale with Amazon Bedrock
In this post, we demonstrate how the Amazon Catalog Team built a self-learning system that continuously improves accuracy while reducing costs at scale using Amazon Bedrock....
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Inferact launches with $150M in funding to commercialize vLLM
A group of artificial intelligence researchers today launched Inferact Inc., a new startup that will commercialize the open-source vLLM project. The company is backed by $150 million in seed funding. Andreessen Horowitz and Lightspeed led the round with participation from Databricks Inc.âs venture c...
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LiveKit raises $100M at $1B valuation to scale real-time AI and media platform
Communications, real-time media and artificial intelligence infrastructure company LiveKit Inc. revealed today that it has raised $100 million in new funding on a $1 billion valuation. The funding will be used to accelerate the expansion of its real-time voice, video and AI developer platform by bui...
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Nutanix builds for enterprise AI as infrastructure turns hybrid
Nutanix Inc. sits at the crossroads of two powerful but conflicting trends: the push to the cloud and the pull back on-prem. The company that once sold boxes in racks now sells freedom â the promise to run workloads anywhere. Whether that promise pays off depends on which way enterprise AI turns nex...
Read MoreShare on XHow PDI built an enterprise-grade RAG system for AI applications with AWS
PDI Technologies is a global leader in the convenience retail and petroleum wholesale industries. In this post, we walk through the PDI Intelligence Query (PDIQ) process flow and architecture, focusing on the implementation details and the business outcomes it has helped PDI achieve....
Read MoreShare on XHow CLICKFORCE accelerates data-driven advertising with Amazon Bedrock Agents
In this post, we demonstrate how CLICKFORCE used AWS services to build Lumos and transform advertising industry analysis from weeks-long manual work into an automated, one-hour process....
Read MoreShare on XHow to Get Started With Visual Generative AI on NVIDIA RTX PCs
AI-powered content generation is now embedded in everyday tools like Adobe and Canva, with a slew of agencies and studios incorporating the technology into their workflows. Image models now deliver photorealistic results consistently, video models can generate long and coherent clips, and both can f...
Read MoreShare on XHow Thomson Reuters built an Agentic Platform Engineering Hub with Amazon Bedrock AgentCore
This blog post explains how TR's Platform Engineering team, a geographically distributed unit overseeing TR's service availability, boosted its operational productivity by transitioning from manual to an automated agentic system using Amazon Bedrock AgentCore....
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EY on why AI-native operating models are replacing bolt-on experiments
Ernst & Young Global LLP is seeing a clear split emerge as artificial intelligence moves deeper into the enterprise, with organizations either bolting AI onto existing processes or committing to an AI-native rethink of how work and decisions get done. Instead of layering intelligence onto legacy...
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Trusted AI moves from compliance talk to operating reality â EY leaders on trust and scale
The conversation around enterprise transformation is shifting as organizations reckon with what it takes to turn artificial intelligence into something that delivers lasting, operational impact, with trusted AI emerging as the real dividing line between experimentation and scale. Whatâs changing isn...
Read MoreShare on XBuild agents to learn from experiences using Amazon Bedrock AgentCore episodic memory
In this post, we walk you through the complete architecture to structure and store episodes, discuss the reflection module, and share compelling benchmarks that demonstrate significant improvements in agent task success rates....
Read MoreShare on XHow bunq handles 97% of support with Amazon Bedrock
In this post, we show how bunq upgraded Finn, its in-house generative AI assistant, using Amazon Bedrock to transform user support and banking operations to be seamless, in multiple languages and time zones....
Read MoreShare on XUsing Strands Agents to create a multi-agent solution with Metaâs Llama 4 and Amazon Bedrock
In this post, we explore how to build a multi-agent video processing workflow using Strands Agents, Meta's Llama 4 models, and Amazon Bedrock to automatically analyze and understand video content through specialized AI agents working in coordination. To showcase the solution, we will use Amazon Sage...
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LexisNexis unveils global launch of AI work automation for legal professionals
LexisNexis, the global data and analytics division of RELX Inc., today unveiled a new commercial preview program for its ProtĂŠgĂŠ artificial intelligence assistant for legal and business professionals, introducing workflows backed by citable authority and data. As AI adoption makes inroads into the l...
Read MoreShare on XEverything You Need to Know About How Python Manages Memory
In languages like C, you manually allocate and free memory....
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ServiceNow partners with OpenAI to develop and deploy enterprise-grade AI agents
Enterprise software giant ServiceNow Inc. has inked a three-year deal with OpenAI Group PBC so it can integrate the ChatGPT makerâs most advanced artificial intelligence models into its platforms. The terms of the contract were not disclosed, but the Wall Street Journal reported that it includes a r...
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Vibe coding startup Emergent triples valuation in $70M funding round
Vibe coding startup Emergent Labs Inc. today announced that it has closed a $70 million funding round led by Khosla Ventures and SoftBank Vision Fund 2. The Series B deal comes only three months after the companyâs previous raise. According to TechCrunch, it tripled Emergentâs valuation to about $30...
Read MoreShare on XIntroducing multimodal retrieval for Amazon Bedrock Knowledge Bases
In this post, we'll guide you through building multimodal RAG applications. You'll learn how multimodal knowledge bases work, how to choose the right processing strategy based on your content type, and how to configure and implement multimodal retrieval using both the console and code examples....
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XBuild raises $19M to launch AI-powered residential roofing contract estimation product
XBuild, a company aiming to bring artificial intelligence to residential construction contractors, today announced it raised $19 million in early-stage funding to build what it calls a âvibe codingâ estimating platform for construction projects. N47 led the Series A round, and Rackhouse Ventures and...
Read MoreShare on XThe Machine Learning Practitionerâs Guide to Model Deployment with FastAPI
If youâve trained a machine learning model, a common question comes up: âHow do we actually use it?â This is where many machine learning practitioners get stuck....
Read MoreShare on XHow Remote uses LangChain and LangGraph to onboard thousands of customers with AI
Guest post written by José Mussa (Staff Software Engineer @ Remote) Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a single platform. Remote’s customers operate across many countries and regulatory environments, and they trust Remote as t...
Read MoreShare on XTop 5 Agentic AI Website Builders (That Actually Ship)
I have been building a payment platform using vibe coding, and I do not have a frontend background....
Read MoreShare on XAdvanced fine-tuning techniques for multi-agent orchestration: Patterns from Amazon at scale
In this post, we show you how fine-tuning enabled a 33% reduction in dangerous medication errors (Amazon Pharmacy), engineering 80% human effort reduction (Amazon Global Engineering Services), and content quality assessments improving 77% to 96% accuracy (Amazon A+). This post details the techniques...
Read MoreShare on XHow Palo Alto Networks enhanced device security infra log analysis with Amazon Bedrock
Palo Alto Networksâ Device Security team wanted to detect early warning signs of potential production issues to provide more time to SMEs to react to these emerging problems. They partnered with the AWS Generative AI Innovation Center (GenAIIC) to develop an automated log classification pipeline pow...
Read MoreShare on XGenerative AI tool helps 3D print personal items that sustain daily use
âMechStyleâ allows users to personalize 3D models, while ensuring theyâre physically viable after fabrication, producing unique personal items and assistive technology....
Read MoreShare on XChoosing the Right Multi-Agent Architecture
In this post, weâll explore when multi-agent architectures become necessary, the four main patterns weâve observed, and how LangChain empowers you to effectively build multi-agent systems....
Read MoreShare on XAIâs Next Revolution: Multiply Labs Is Scaling Robotics-Driven Cell Therapy Biomanufacturing Labs
Startup works with leading cell therapy companies to bring robotics manufacturing into the clean room, reducing costs by more than 70% while accelerating output compared with legacy systems....
Read MoreShare on XAI Copilot Keeps Berkeleyâs X-Ray Particle Accelerator on Track
In the rolling hills of Berkeley, California, an AI agent is supporting high-stakes physics experiments at the Advanced Light Source (ALS) particle accelerator. Researchers at the Lawrence Berkeley National Laboratory ALS facility recently deployed the Accelerator Assistant, a large language model (...
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The State Of LLMs 2025: Progress, Problems, and Predictions
A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026....
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LLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible....
Read MoreShare on XAprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
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Read MoreShare on XA new way to increase the capabilities of large language models
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts....
Read MoreShare on X3 Actionable AI Recommendations for Businesses in 2026
In 2026, AI advantage will not come from tools but from focus. This piece outlines three concrete, disruptive moves businesses can make to turn AI into durable leverage, plus the contrarian and pessimistic views leaders should confront head-on....
Read MoreShare on XNew materials could boost the energy efficiency of microelectronics
By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation....
Read MoreShare on XDebugging Deep Agents with LangSmith
Debugging is the process of finding and fixing errors. This is a critical step in software engineering, and even more critical in agent engineering . One of the key capabilities of LangSmith is tooling to debug LLM applications. Today we are doubling down on solving that problem for the new wave...
Read MoreShare on XAgent Engineering: A New Discipline
If you’ve built an agent, you know that the delta between “it works on my machine” and “it works in production” can be huge. Traditional software assumes you mostly know the inputs and can define the outputs. Agents give you neither: users can say...
Read MoreShare on XEvaluating DeepAgents CLI on Terminal Bench 2.0
By Vivek Trivedy and Eugene Yurtsev DeepAgents CLI is a coding agent built on top of the Deep Agents SDK, providing an interactive terminal interface with shell execution, filesystem tools, and memory. How well does DeepAgents CLI actually perform on real-world tasks? In this post, we show how to ev...
Read MoreShare on XMIT researchers âspeak objects into existenceâ using AI and robotics
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand....
Read MoreShare on XA smarter way for large language models to think about hard problems
This new technique enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question....
Read MoreShare on XWe Got Claude to Fine-Tune an Open Source LLM
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Read MoreShare on XResearchers discover a shortcoming that makes LLMs less reliable
Large language models can learn to mistakenly link certain sentence patterns with specific topics â and may then repeat these patterns instead of reasoning....
Read MoreShare on XMIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
BoltzGen generates protein binders for any biological target from scratch, expanding AIâs reach from understanding biology toward engineering it....
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