Crowdfund Insider

Tether Data Launches QVAC Fabric LLM to Train Large Language Models on Hardware

Tether Data announced the launch of QVAC Fabric LLM, a new LLM inference runtime and fine-tuning framework that makes it possible to execute, train and personalize large language models on hardware, ...
Tech Xplore on MSN

A smarter way for large language models to think about hard problems

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...
Forbes

Small Language Models Gaining Popularity While LLMs Still Go Strong

Small Language Models or SLMs are on their way toward being on your smartphones and other local devices, be aware of what's coming. In today’s column, I take a close look at the rising availability ...

Study: German Federal Admin Should Rely on In-House Dev for Generative AI

According to a Fraunhofer analysis, federal authorities can utilize many interchangeable, open-source-based solutions beyond ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...

Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a ...
The Economist

Forget DeepSeek. Large language models are getting cheaper still

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...
The Economist

Faith in God-like large language models is waning

Editor’s note (September 9th): This article has been updated. WHEN TECH folk talk about the lacklustre progress of large language models (LLMs), they often draw an analogy with smartphones. The early ...