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  3. CodeGeex - AI code generation and translation

CodeGeex - AI code generation and translation

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    • marcusquinnM Offline
      marcusquinnM Offline
      marcusquinn
      wrote on last edited by
      #1
      • https://github.com/THUDM/CodeGeeX
      • https://codegeex.cn/playground
      • https://alternativeto.net/software/codegeex/about/

      Self-hosted AI coding faster than you can type, and translation between languages for porting apps and features.

      We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. As of June 22, 2022, CodeGeeX has been trained on more than 850 billion tokens on a cluster of 1,536 Ascend 910 AI Processors. CodeGeeX has several unique features:

      • Multilingual Code Generation: CodeGeeX has good performance for generating executable programs in several mainstream programming languages, including Python, C++, Java, JavaScript, Go, etc. DEMO
      • Crosslingual Code Translation: CodeGeeX supports the translation of code snippets between different languages. Simply by one click, CodeGeeX can transform a program into any expected language with a high accuracy. DEMO
      • Customizable Programming Assistant: CodeGeeX is available in the VS Code extension marketplace for free. It supports code completion, explanation, summarization and more, which empower users with a better coding experience. VS Code Extension
      • Open-Source and Cross-Platform: All codes and model weights are publicly available for research purposes. CodeGeeX supports both Ascend and NVIDIA platforms. It supports inference in a single Ascend 910, NVIDIA V100 or A100. Apply Model Weights

      HumanEval-X for Realistic Multilingual Benchmarking. To help standardize the evaluation of multilingual code generation and translation, we develop and release the HumanEval-X Benchmark. HumanEval-X is a new multilingual benchmark that contains 820 human-crafted coding problems in 5 programming languages (Python, C++, Java, JavaScript, and Go), each of these problems is associated with tests and solutions. Usage 🤗 Available in HuggingFace

      315c3907-7239-4945-b80f-34d4678464b5-image.png

      f4f397cf-d583-4e70-a226-5a8a95108314-image.png

      377d7d30-408d-4577-93e0-6004608a5145-image.png

      Web Design https://www.evergreen.je
      Development https://brandlight.org
      Life https://marcusquinn.com

      L 1 Reply Last reply
      5
      • marcusquinnM marcusquinn
        • https://github.com/THUDM/CodeGeeX
        • https://codegeex.cn/playground
        • https://alternativeto.net/software/codegeex/about/

        Self-hosted AI coding faster than you can type, and translation between languages for porting apps and features.

        We introduce CodeGeeX, a large-scale multilingual code generation model with 13 billion parameters, pre-trained on a large code corpus of more than 20 programming languages. As of June 22, 2022, CodeGeeX has been trained on more than 850 billion tokens on a cluster of 1,536 Ascend 910 AI Processors. CodeGeeX has several unique features:

        • Multilingual Code Generation: CodeGeeX has good performance for generating executable programs in several mainstream programming languages, including Python, C++, Java, JavaScript, Go, etc. DEMO
        • Crosslingual Code Translation: CodeGeeX supports the translation of code snippets between different languages. Simply by one click, CodeGeeX can transform a program into any expected language with a high accuracy. DEMO
        • Customizable Programming Assistant: CodeGeeX is available in the VS Code extension marketplace for free. It supports code completion, explanation, summarization and more, which empower users with a better coding experience. VS Code Extension
        • Open-Source and Cross-Platform: All codes and model weights are publicly available for research purposes. CodeGeeX supports both Ascend and NVIDIA platforms. It supports inference in a single Ascend 910, NVIDIA V100 or A100. Apply Model Weights

        HumanEval-X for Realistic Multilingual Benchmarking. To help standardize the evaluation of multilingual code generation and translation, we develop and release the HumanEval-X Benchmark. HumanEval-X is a new multilingual benchmark that contains 820 human-crafted coding problems in 5 programming languages (Python, C++, Java, JavaScript, and Go), each of these problems is associated with tests and solutions. Usage 🤗 Available in HuggingFace

        315c3907-7239-4945-b80f-34d4678464b5-image.png

        f4f397cf-d583-4e70-a226-5a8a95108314-image.png

        377d7d30-408d-4577-93e0-6004608a5145-image.png

        L Offline
        L Offline
        LoudLemur
        wrote on last edited by
        #2

        @marcusquinn

        You are great! It is exhilarating just following behind you in the slip-stream of your threads!

        You can count on my upvotes! 🙂

        Cloudron, lets recognize @marcusquinn is onto something big and help his App Requests come true.

        marcusquinnM 1 Reply Last reply
        1
        • L LoudLemur

          @marcusquinn

          You are great! It is exhilarating just following behind you in the slip-stream of your threads!

          You can count on my upvotes! 🙂

          Cloudron, lets recognize @marcusquinn is onto something big and help his App Requests come true.

          marcusquinnM Offline
          marcusquinnM Offline
          marcusquinn
          wrote on last edited by marcusquinn
          #3

          @LoudLemur The more I see what people are doing with it, the more it looks like the birth of a new higher-level way of computing, that makes todays coding methods look insanely time-expensive.

          This is happening day by day, so certainly the time to raise a hand and say; "we're in, lets build on this" ✋

          Web Design https://www.evergreen.je
          Development https://brandlight.org
          Life https://marcusquinn.com

          1 Reply Last reply
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