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  1. Polycode is a C++ and Lua framework for building interactive applications. It is free, open source and cross-platform.

  2. openai.com › blog › openai-codexOpenAI Codex | OpenAI

    Aug 10, 2021 · OpenAI Codex. We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today. Start using Codex. Illustration: Ruby Chen.

  3. PolyCoder vs OpenAi Codex: A comparison between these code generation tools. PolyCoder delivered superior performance in comparison to similarly sized GPT-Neo 2.7B in C, JavaScript, Rust, Scala and TypeScript.

  4. Several models have been trained on a large corpus of code spanning 12 programming languages. This includes a 2.7B parameter model (nick-named PolyCoder, trained for 100K and 150K steps), a 405M parameter model (100K & 150K steps) and a 160M parameter model (150K steps).

  5. In this video we will go over PolyCoder which was developers by Carnegie Mellon University researchers, a model based on OpenAI’s GPT-2 and trained on 249GB of code across 12 programming...

  6. We release a new model, PolyCoder, with 2.7B parameters based on the GPT-2 architecture, that was trained on 249GB of code across 12 programming languages on a single machine.

  7. NIX Solutions: PolyCoder, Open Source AI Code Generation Platform. AI writing code promises to cut development costs and allow programmers to focus on creative, less repetitive tasks.

  8. This is a PolyCoder model with 2.7B parameters, presented in the paper "A Systematic Evaluation of Large Language Models of Code" (MAPS'2022 and ICLR'2022 Workshop Deep Learning 4 Code). The model was trained on 249 GB of code across 12 programming languages.

  9. code-generation-models. PolyCoder uses GPT2 architecture, with BPE tokenizer trained on a random 5% subset of the data (all languages), and a context length of 2048. To study the effect of scaling of model size, the odel was trained in 3 different sizes.

  10. Feb 26, 2022 · We release a new model, PolyCoder, with 2.7B parameters based on the GPT-2 architecture, which was trained on 249GB of code across 12 programming languages on a single machine. In the C programming language, PolyCoder outperforms all models including Codex.

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