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

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 ...

Universal Transformer Memory uses neural networks to determine which tokens in the LLM's context window are useful or redundant.

Sakana AI has unveiled a memory management solution for Transformers that saves resources, handles long contexts, and ...

According to OpenAI, this next-generation language model is more advanced than ChatGPT in three key areas: creativity, visual input, and longer context ... the creation of long-form content, ...

Anthropic recently released their Model Context Protocol (MCP), an ... The Server primitives are for "adding context to language models." Prompts are instructions or templates for instructions.

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 ...

a leading AI model provider, has proposed a protocol and architecture for providing language models with the necessary context obtained from external systems. The Model Context Protocol ...

Language models (LMs) based on transformers have become the gold standard in natural language processing, thanks to their exceptional performance, parallel processing capabilities, and ability to ...