Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single ...

Forget multimodal AI and reasoning; Anthropic’s approach to AI has been very different from OpenAI’s. After Claude Artifcafts ...

This model is specifically designed to handle complex tasks such as long-context understanding ... focusing on areas such as natural language processing, document analysis, and conversational ...

Current models support very long context windows with hundreds of ... On the other hand, in natural language tasks, the model discards tokens that represent grammatical redundancies and don ...

New metrics LongPPL and LongCE outperform perplexity to improve long-context language model performance, revolutionizing how AI models are fine-tuned for complex tasks. Study: What is Wrong with ...

The small model is available in multiple variants up to 10 billion parameters, and has been released on Hugging Face.

The multimodal era is here, and it marks a critical turning point in the AI landscape, enabling machines to interact in more ...

Reasoning models are supposed to fact-check themselves by producing a step-by-step plan to find a correct answer.

Llama 3.3 is specifically optimized for cost-effective inference, with token generation costs as low as $0.01 per million tokens.

TL;DR: OpenAI’s new o1 model marks a significant leap in AI reasoning capabilities but introduces critical risks. Its ...