Autocomplete: Large language models can repeat training data verbatim

Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.
Analytics Insight

Why Large Language Models Can't Always Solve Math Problems

Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...
Tech Xplore on MSN

Model steering is a more efficient way to train AI models

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
NextBigFuture

AGI Needs World Models and State of World Models

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT's path needs a world model. OpenAI and Google and ...
Geeky Gadgets

PicoLM Framework: Simplifying Language Model Training and Analysis

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...
Tech Xplore on MSN

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
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 ...