MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...
Crypto Briefing

MIT’s MeMo framework boosts LLM performance by 26% without retraining

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.
SiliconANGLE

Writer announces Palmyra X5 LLM with 1M-token context window to power AI agents

Generative artificial intelligence startup Writer Inc. today released its newest state-of-the-art enterprise-focused large language model Palmyra X5, an adaptive reasoning model that features a 1 ...
Business Wire

Writer Releases New Adaptive Reasoning LLM Palmyra X5 With 1M Context Window to Scale Next Era of Enterprise AI Agents

SAN FRANCISCO--(BUSINESS WIRE)--Writer, the leader in enterprise generative AI, today released its newest and most advanced foundation model, Palmyra X5. The state-of-the-art adaptive reasoning model ...
MSN on MSN

I built a fully local AI coding assistant in Windows with Ollama and VS Code

The only operating cost is electricity.
Geeky Gadgets

Context Rot and Overload : How Feeding AI More Data Can Decrease Accuracy

What happens when the very thing designed to make AI smarter—more context—starts to work against it? Large Language Models (LLMs), celebrated for their ability to process vast amounts of text, face a ...
InfoWorld

What is context engineering? And why it’s the new AI architecture

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.
EDN

MLPerf and the rise of latency-aware LLM benchmarking

Here is a sneak peek at the evolution of the MLPerf benchmark and how generative AI forced a radical shift in AI hardware ...