Updating EigenAI overview #217
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MadelineAu
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NimaVaziri
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| :::note | ||
| - OpenAI-compatible refers to the [messages-based Chat Completions API](https://platform.openai.com/docs/api-reference/chat/create). | ||
| - Deterministic refers to providing one request (prompt, seed/parameters) to the EigenAI API multiple times will produce the same output bit-by-bit. |
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| - Deterministic refers to providing one request (prompt, seed/parameters) to the EigenAI API multiple times will produce the same output bit-by-bit. | |
| - Deterministic behavior refers to providing one request (prompt, seed/parameters) to the EigenAI API multiple times and receiving the same output bit-by-bit every time. The EigenAI inference stack was designed with this determinism guarantee in mind. **This behavior is not based on caching the results.** Safety-critical systems cannot be vulnerable to potential cache misses. | |
| - A directionally similar work was published by [Thinking Machines, titled Defeating Nondeterminism in LLMs](https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/). EigenAI achieves the same outcome as this research, making EigenAI the world's first production-level deterministic LLM API. |
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I broke the piece about not caching into a separate bullet point and reworded slightly - you're saying that 'determinism requires not caching the results' right? Or something different to that?
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Not that it requires not caching, it's that the deterministic behavior is not a result of caching, since typically caching gives you deterministic behavior.
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