CodeQwen vs. Codestral vs. Imaginary Programming vs. Python RPA Comparison Chart

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

Imaginary Programming lets you use OpenAI's GPT engine as a runtime to accomplish things you've never been able to do before in your code. All you do is define a function prototype in TypeScript (without an implementation!), and Imaginary Programming uses GPT to take care of the rest. Use Imaginary programming for any task where human-like intelligence around text is needed. You can install imaginary programming into your current JavaScript and TypeScript projects, or you can try the online Playground to experiment with Imaginary Programming.