Скачать или смотреть Autocoder AI assistant | newly launched open-source (LLM) designed to enhance code interpretation

AutoCoder is a newly launched open-source large language model (LLM) designed to enhance code interpretation. It has shown promising results in the field of AI coding assistants, surpassing industry giants like OpenAI’s GPT-4 Turbo and GPT-4 Omni in various benchmarks1. Here are some key features of AutoCoder:
1. Open Source Model: AutoCoder is based on the Deep SE Coder architecture and supports external package installation for handling complex coding tasks.
2. AI EV Instruct Methodology: AutoCoder combines agent interactions with external code execution verification. It automatically installs required packages and attempts to run code until it deems there are no issues.
3. Superior Performance: AutoCoder outperforms other coding-focused LLMs like Magic Coder OSS Instruct and competes with industry leaders like LLaMA 3, GPT-4 Omni Ultra, and Gemini.
4. Self-Learning Architecture: AutoCoder’s two-stage approach involves learning from open-source code snippets and teacher models during the teaching stage, followed by continuous interaction and feedback in the self-learning stage.
5. Unit Tests: AutoCoder incorporates unit tests to ensure code accuracy and reliability.

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