InfoWorld

Taming the generative AI back end

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

Researchers automated LLM reasoning strategy design and cut token usage by 69.5%

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...

What Are AI Tarpits? Understanding the Tools People Are Using to Poison LLMs

Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...
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 ...

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% ...

LM Studio now lets you use your iPhone to talk to local models on your Mac

LM Studio’s Locally app is being updated today with Link, a feature that lets users talk to LLMs running on their Macs right ...
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 ...
Semiconductor Engineering

The Edge LLM Offload Story

Modern edge devices demand heterogeneous AI architectures that can mix and match subsystems to accelerate different aspects ...
How-To Geek on MSN

I finally found a local coding LLM that I actually want to use

Local AI coding assistants are actually useful now.
BizTech

LLM Hallucinations: What Are the Implications for Financial Institutions?

Large language models are increasingly being deployed across financial institutions to streamline operations, power customer service chatbots, and enhance research and compliance efforts. Yet, as ...