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LLMON (pronounced limón) is a set of structured data tools, optimized for large language models. Convert the structured input into a format that's more concise, yet still understandable by LLMs. LLMONconcentrate can reduce your JSON's token usage by half or more, while retaining all of the existing information in that structured data.

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In this paper, our objective is to find a computational model aimed at the low-latency Montgomery modular multi-plication. In order to achieve the low-latency for a Montgomery multiplication, first, the multiplications should be performed with a lowest circuit depth.

PokéLLMon battles against human players from the Ladder competitions. While facing a powerful opponent, the agent with the chain-of-thought reasoning panics and starts to switch Pokémon in consecutive turns to avoid battle.

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llmon has one repository available. Follow their code on GitHub.

May 19, 2024 · Notebooks and resources related to Large Language Models - catastropiyush/LLMon