InfoWorld

Databricks’ TAO method to allow LLM training with unlabeled data

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...
Hosted on MSN

9 reasons why you should consider onsite LLM training and inferencing

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
Futurism

If Even 0.001 Percent of an AI’s Training Data Is Misinformation, the Whole Thing Becomes Compromised, Scientists Find

It’s no secret that large language models (LLMs) like the ones that power popular chatbots like ChatGPT are surprisingly fallible. Even the most advanced ones still have a nagging tendency to contort ...
PC Gamer

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

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...
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, ...