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.
VentureBeat

DeepMind’s GenRM improves LLM accuracy by having models verify their own outputs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...
SiliconANGLE

Microsoft reportedly develops LLM series that can rival OpenAI, Anthropic models

Microsoft Corp. has developed a series of large language models that can rival algorithms from OpenAI and Anthropic PBC, multiple publications reported today. Sources told Bloomberg that the LLM ...
MUO on MSN

Local LLM setup: how to use RAG and an embedding model to stop wasting context

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...
InfoWorld

5 easy ways to run an LLM locally

Running your own LLM might sound complicated, but with the right tools, it’s surprisingly easy. And the hardware requirements for many models aren’t crazy. I’ve tested the options presented in this ...