Large Language Models (LLMs)
CodeGeeX: A powerful 13B-parameter model for generating multilingual code across 20+ languages, enhancing your coding efficiency and versatility.
CodeGeeX is an advanced multilingual code generation model with a robust architecture of 13 billion parameters, trained on an extensive dataset comprising over 20 programming languages.
To utilize CodeGeeX, enter your desired code snippet or programming query, choose the appropriate programming language, and CodeGeeX will generate the relevant code or provide a translation.
Product source: CodeGeeX official website. Check the provider for current plans, limits and availability.
FAQ
Product context and practical checks for evaluating CodeGeeX.
CodeGeeX: A powerful 13B-parameter model for generating multilingual code across 20+ languages, enhancing your coding efficiency and versatility.
To utilize CodeGeeX, enter your desired code snippet or programming query, choose the appropriate programming language, and CodeGeeX will generate the relevant code or provide a translation.
Comprehensive multilingual code generationSupport for over 15 programming languagesExtensively trained on a vast code datasetCapabilities in both code generation and translation
CodeGeeX can be employed for tasks such as automating code creation, translating code between different programming languages, generating code snippets, and more.
Check CodeGeeX’s current pricing page for included usage, renewal terms and any credit charges. Compare the cost of a usable result, including retries, rather than assuming that account registration includes free usage.
Compare repository access, context limits, supported languages and tool permissions. Check whether the assistant can read relevant files and run your existing checks.
Review the diff, run tests and inspect error handling and dependency changes. Generated code should meet the same review standard as a human contribution.
Prefer changes you can inspect and keep in version control. Check whether code, tests and configuration can be exported without depending on a hosted preview.
Choose a small reproducible bug with an existing failing check. Measure whether the tool fixes the cause, preserves behavior and produces a reviewable change.
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