Forbes26d
Size Doesn’t Always Matter When It Comes To Language Models
In reality, we shouldn’t be putting so much focus on the language model size and trying to define the next stage of artificial intelligence development by any significant measure of this kind.
MIT Technology Review1d
Anthropic can now track the bizarre inner workings of a large language model
The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as it comes up with a ...
Researchers warn of ‘catastrophic overtraining’ in Large Language Models
The researchers compared two versions of OLMo-1b: one pre-trained on 2.3 trillion tokens and another on 3 trillion tokens.
Hackaday6mon
Large Language Models On Small Computers
Taking this to the extreme, while large language models (LLMs) like GPT are running out of data to train on and having difficulty scaling up, [DaveBben] is experimenting with scaling down instead ...
Quanta Magazine20d
Why Do Researchers Care About Small Language Models?
Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections ...