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Neurooo

DeepL clone using LLMs for translations. We noticed that LLMs were quite good at translating informal or contextual text, and also way cheaper than DeepL or Google Translate when you factor in the cost per character.

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  1. A ~9M parameter LLM that talks like a small fish.

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  2. Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge.

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  3. After struggling with complex prompt engineering and unreliable parsing, we built L1M, a simple API that lets you extract structured data from unstructured text and images.

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  4. I grew up on the Infocom games and when microsoft actually open-sourced Zork 1/2/3 I really wanted to figure out how to use LLMs to let you type whatever you want, I always found the amount language that the games "understood" to be so limiting - even if it was pretty state of the art at the time.

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  5. The 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 Conversational AI JavaScript Library 💬 — UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more 🧡 React, Next.js, and plain JavaScript ⭐️

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