Llm AI News & Research · DeepTrendLab

How AI Agents Will Transform Data Science Work in 2026

Discover how AI agents will revolutionize data science in 2026, and learn why they won't replace you but will make you a faster, smarter analyst.

What’s the Best Way to Brainwash an LLM?

I spent a weekend trying to convince a language model it was C-3PO. Here's what actually worked. The post What’s the Best Way to Brainwash an LLM? appeared first on…

Hermes Unlocks Self-Improving AI Agents, Powered by NVIDIA RTX PCs and DGX Spark

Agentic AI is changing the way users get work done. Following the success of OpenClaw, the community is embracing new open source agentic frameworks. The latest is Hermes Agent, which…

Presentation: What I Learned Building Multi-Agent Systems From Scratch

Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean,…

OpenAI Launches Daybreak, a New Initiative to Challenge Glasswing

While Daybreak is a step toward more effective AI cybersecurity, more still needs to be done in the security arena, as models often create new vulnerabilities that leave enterprises exposed.

From Vibe Coding to Spec-Driven Development

A 4.5-hour journey from idea to working fitness app with LLM agents The post From Vibe Coding to Spec-Driven Development appeared first on Towards Data Science .

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

In this post, we show you how to set up FLOPs tracking during LLM fine-tuning using the open source Fine-Tuning FLOPs Meter toolkit on Amazon SageMaker AI. You learn how…

LLM Observability Tools for Reliable AI Applications

Large language models (LLMs) now power everything from customer service bots to autonomous coding agents.

Hermes Agent Guide: What is it and How to Use it?

AI agents are moving beyond simple command-line tools into systems that can plan, schedule, call tools, and run automated workflows. Nous Research’s Hermes Agent framework offers a self-hosted runtime for…

Thinking Machines wants to build an AI that actually listens while it talks

Right now, every AI model you've ever used works the same way. You talk, it listens. It responds, you listen. Thinking Machines is trying to change that by building a…

Building Blocks for Foundation Model Training and Inference on AWS

Building web search-enabled agents with Strands and Exa

In this post, you will learn how to set up the Exa integration in Strands Agents, understand the two core tools it exposes, and walk through real-world use cases that…

How to Build a Claude Code-Powered Knowledge Base

Perform efficient data retrieval of personal knowledge The post How to Build a Claude Code-Powered Knowledge Base appeared first on Towards Data Science .

How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours

In this post, we dive deep into the architecture and techniques we used to improve Miro’s bug routing, achieving six times fewer team reassignments and five times shorter time-to-resolution powered…

Google stopped a zero-day hack that it says was developed with AI

For the first time, Google says it has spotted and stopped a zero-day exploit developed with AI. According to a report from Google Threat Intelligence Group (GTIG), "prominent cyber crime…

Guardrails for LLMs: Measuring AI ‘Hallucination’ and Verbosity

This article discusses how to implement an infrastructure for measuring and controlling overly verbose LLM responses.

Implementing Prompt Compression to Reduce Agentic Loop Costs

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application usage via APIs, where billing is often closely related to…

Top 10 LLM Research Papers of 2026

Large language models are no longer just about scale. In 2026, the most important LLM research is focused on making models safer, more controllable, and more useful as real-world agents.…

Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document Processing

The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human…

LLM Summarizers Skip the Identification Step

A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support. The post LLM Summarizers…

So you’ve heard these AI terms and nodded along; let’s fix that

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might…

"OncoAgent: A Dual-Tier Multi-Agent Framework for Privacy-Preserving Oncology Clinical Decision Support"

The Must-Know Topics for an LLM Engineer

From tokenisation to evaluation :  how modern language models actually work in practice The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Science .