Morning Overview on MSNOpinion

AI’s next wave: new designs, AGI bets, and less LLM hype

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

Unlocking Business Value With Open-Weight Large Language Models

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI-driven world.
Forbes

Why Small Language Models Are The Next Big Thing In AI

Forbes contributors publish independent expert analyses and insights. How Global Leaders are Rebooting industries-business-societies & more. Andrew Ross Sorkin and Elon Musk speak onstage during The ...
Computerworld

With genAI models, size matters (and smaller may be better)

The future of generative AI could rely on smaller language models for every application an enterprise uses, models that would be both more nimble and customizable — and more secure. As organizations ...
InfoWorld

What is model quantization? Smaller, faster LLMs

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
Geeky Gadgets

Setting up a custom AI large language model (LLM) GPU server to sell

Deploying a custom language model (LLM) can be a complex task that requires careful planning and execution. For those looking to serve a broad user base, the infrastructure you choose is critical.