MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.
VentureBeat

New 1.5B router model achieves 93% accuracy without costly retraining

Researchers at Katanemo Labs have introduced Arch-Router, a new routing model and framework designed to intelligently map user queries to the most suitable large language model (LLM). For enterprises ...
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.
Forbes

The Impact Of Retraining AI In Vertical Software

Machine learning (ML) and artificial intelligence (AI) have almost become buzzwords at this point, but what do they really mean? On the simplest level, they are basically software that can learn from ...
InfoWorld

Selective retraining helps AI learn new skills without forgetting, study finds

A new study from the University of Illinois Urbana-Champaign suggests that the loss of skills often seen when fine-tuning large AI models may not be true forgetting but a temporary bias in their ...
Morningstar

Vetology Expands Public AI Validation Dashboard to 11 Metrics Per Classifier, Commits to Ongoing Model Retraining

Company publishes full statistical profiles for 89+ classifiers, reinforcing that building AI is only half the job. SAN DIEGO, April 1, 2026 /PRNewswire/ -- Vetology, a provider of AI-generated ...