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M&T Bank expands enterprise AI after years of technology overhaul

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, banking, business strategy, copilot, Features, Finance, Finance AI, Large Language Models, World of Work

M&T Bank has deployed AI copilots to more than 15,000 employees as the US regional bank applies AI to internal operations, customer service, software development, and risk management. The bank uses AI to analyse call-centre conversations, draft reports, generate code, identify customer needs, and flag portfolio risks, according to Fast Company. M&T is also examining […]

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Context Rot in Large Language Models

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, attention dilution, Context Engineering, context rot, context window, effective context, Large Language Models, llm reliability, long context llm, lost in the middle, prompt engineering, Retrieval-augmented generation, Uncategorized

Why it matters: Context rot makes LLMs fail long before the window fills. See why, how to measure it, and the context engineering fixes that keep answers reliable.

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Build a Reasoning LLM from Scratch

Build a Reasoning LLM from Scratch: A Complete Guide to GRPO, RoPE & Pretraining.

ai, AI (Artificial Intelligence), AI in Engineering, Artificial Intelligence, Build LLM from Scratch, deep learning, GPT Architecture, GRPO, Large Language Models, Large Language Models (LLMs), LLM training, LLMOps (Large Language Model Operations), Machine Learning, QK Norm, Reasoning LLM, RMSNorm, RoPE, Spritle Blog, Transformer Architecture

Introduction A reasoning LLM is a language model trained not just to predict the next word, but to work through a problem step by step and verify its own conclusions before answering  the approach behind models like OpenAI’s o1 and DeepSeek’s R1. This guide condenses a practical path to building a compact 300–400M parameter GPT-style

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Two AI-based science assistants succeed with drug-retargeting tasks

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science, FutureHouse, Google, hypothesis, hypothesis testing, Large Language Models, Science

On Tuesday, Nature released two papers describing AI systems intended to help scientists develop and test hypotheses. One, Google’s Co-Scientist, is designed as what they term “scientist in the loop,” meaning researchers are regularly applying their judgements to direct the system. The second, from a nonprofit called FutureHouse, goes a step beyond and has trained

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How to Visualize Any AI Model Architecture Instantly in Hugging Face

ai, AI (Artificial Intelligence), Artificial Intelligence, Large Language Models

Understanding modern AI architectures is harder than ever. Open any Hugging Face repository and you’ll usually find massive config files, layer definitions, parameter counts, and model cards that explain what the model does but rarely help you understand how it is structured internally. That becomes a problem as most developers end up mentally reconstructing architectures

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Anthropic’s Claude Managed Agents can now “dream,” sort of

agentic ai, ai, AI (Artificial Intelligence), anthropic, Artificial Intelligence, claude, Claude Managed Agents, Code with Claude, Large Language Models, LLMs

SAN FRANCISCO—At its Code with Claude developers’ conference, Anthropic has introduced what it calls “dreaming” to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in “memory” to inform future tasks and interactions. Dreaming is a feature that is currently in

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LLM Buyers Guide

LLM Evaluation with Domain Experts: The Complete Guide for Enterprise Teams

ai, AI (Artificial Intelligence), Artificial Intelligence, Buyer’s Guide, Large Language Models, LLM, Shaip Blogs

LLM Evaluation with Domain Experts: The Complete Guide for Enterprise Teams Table of Contents Download eBook Get My Copy If your company has started using AI tools that generate text — chatbots, document summarizers, policy assistants, or customer service bots — you have probably asked yourself: “How do we know the AI is actually giving

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RPA matters, but AI changes how automation works

ai, AI (Artificial Intelligence), AI Business Strategy, AI Market Trends, Artificial Intelligence, automation, Large Language Models, Robotics

RPA (robotic process automation) is a practical and proven way to reduce manual work in business processes without AI systems. By using software bots to follow fixed rules, companies can automate repetitive tasks like data entry and invoice processing, and to a certain extent, report generation. Adoption grew quickly in many sectors, especially in finance,

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The hunt for (Reddit) data is over

2026 trends, ai, AI (Artificial Intelligence), AI modeling, Artificial Intelligence, Generative AI, innovation, insurance trends, Large Language Models, zero click search

A nagging question remains after asking, “What’s next after zero-click search?” How do frontier models – like OpenAI’s o3 series or Google’s Gemini 3 – learn? Garbage in, garbage out Large language models (LLMs) learn from massive amounts of text data, including billions of words, public information, and, you guessed it, […] The post The hunt

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