🗃️ UI/UX
2 items
📄️ Intelligent Code Assistant
RapidGPT takes language-to-HDL capabilities to the next level by allowing FPGA engineers to write Verilog code using natural language descriptions or comments. This revolutionary feature eliminates the need for manual translation of ideas into code, saving you valuable time and effort.
🗃️ Interactive Chat
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📄️ AutoComment
AutoComment is an experimental feature of RapidGPT and it is currently limited to files that do not exceed 6000 characters. This limitation is estimated and could vary depending on specific user scenarios.
📄️ AutoDoc
AutoDoc is an experimental feature of RapidGPT. It's important to be aware of some key limitations at this stage. Firstly, the feature is not capable of processing files that exceed 6000 characters. Additionally, it might encounter difficulties with projects that consist of more than 20 files. These limitations are estimated and could vary depending on specific user scenarios.
📄️ AutoReview
AutoReview is designed to enhance the quality and efficiency of your Verilog code through an integrated approach of analysis and correction. Currently, AutoReview is in its experimental stage, optimized for self-contained modules. While we strive for effectiveness and reliability, please make sure to check the results.
📄️ IP Catalog
🛠️ This IP Catalog feature is currently under active development. The list of IPs provided here may not be exhaustive. Users are encouraged to utilize RapidGPT's chat to request a current list of available IPs or ask for specific IP details. We appreciate your understanding as we work to enhance and expand this feature.
📄️ Prompt Engineering Guidelines
Prompt engineering is an important aspect of using RapidGPT effectively. By crafting well-designed prompts, you can get more accurate and relevant responses from the AI model.