The researchers compared two versions of the OLMo-1B model, one trained on 2.3 trillion tokens and another on 3 trillion. Despite the larger training set, the more extensively trained model reportedly ...

Small language models do not require vast amounts of expensive computational resources and can be trained on business data ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI ...

AI's carbon footprint remains a riddle three years into the genAI revolution, thanks to AI makers' secrecy and the difficulty ...

When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying ...

Google’s latest whitepaper is focused on providing guidance to users about writing effective prompts for LLMs like Gemini.