The concept of context length is vital and many of the setbacks people face are due to LLMs not being capable of handling more than a set number of tokens in memory. The token context length is a ...

MiniMax M3 sparse attention is now verified by Artificial Analysis, which ranks M3 first among open-weight AI models with an ...

LCLMs compress LLM context before decode — 8.8x faster at 16x compression, beating every KV cache method tested. Open-sourced by NYU and Columbia.

Claude 2.1 can now process up to 200,000 tokens of context, equivalent to around 150,000 words or 500 pages of text. Claude 2.1 has a 2x reduction in false/hallucinated statements. Early support for ...