Needle in a Needlestack
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About
Needle in a Needlestack (NIAN) is an open-source benchmark and evaluation framework designed to rigorously test the long context window retrieval capabilities of large language models (LLMs). It simulates the challenge of finding specific, critical information ('the needle') hidden within extensive documents or 'needlestacks' of text. The platform showcases how various prominent LLMs, such as Llama 3.1, Jamba 1.5, GPT-4o, GPT4o-mini, Sonnet 3.5, and Gemini 1.5 Flash, perform under these demanding conditions. It provides insights into their ability to maintain performance and accuracy as context windows expand, highlighting breakthroughs and limitations. The tool's open-source nature encourages community contributions and improvements.
Platform
Features
• community contributable
• provides insights into llm context handling
• open-source framework
• compares various llm models (e.g., llama, jamba, gpt, gemini, sonnet)
• tests long context window retrieval
• evaluates large language model (llm) performance
Pricing Plans
Free
Free Plan• Open-source code access
• LLM performance evaluation
• Context window testing
• Community support
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