In today's digital age, AI code writing plug-ins are emerging one after another, but the ensuing code leakage problem has become a major concern for many companies using such tools. When I recommended many AI coding plug-ins to everyone before, the most discussed topic in the comment area was code leaks, and it was not uncommon for companies to restrict their use. Today, we bring you a powerful tool that can effectively solve this problem—Tabby, a large model that independently deploys private AI code. Its GITHUB address is [specific address], and everything from large models to VS Code and IDA plug-ins are provided free of charge. With the help of such open source AI code assistance projects, we can build large-scale privatized code models locally, thus cleverly solving the problem of code leakage.
Tabby supports local installation, and the documentation shows that it also supports one-click installation of Docker. However, it is not recommended to run in pure CPU mode, because although the project can be started, the response speed for each code completion is extremely slow. If there are certain GPU resources locally, the use effect will be better. However, considering that the current graphics card market prices are soaring due to various factors and hardware is being updated very quickly, purchasing a graphics card may face the risk of wasting investment costs. At this time, GPU computing power rental has become a cost-effective choice. Not only can you experience powerful computing power at a lower cost, but there are also many interesting pictures preset inside, allowing you to experience multiple AI products at the same time at one price. It supports one-click deployment and is extremely friendly to novices. Interesting functions such as voice cloning, Vincent pictures, Vincent videos, AI face changing, and even Guo Degang cross talk can all be easily implemented.
Let's see how to actually do this on Tabby. First click on the IGC application, select Developer Tools in the official application, and then click on Tabby GPU Performance. Here you can directly select 4090, keep other options as default, and click to use immediately. After the application starts successfully, click the Tab button to open the TAI console and view the token and swagger addresses. What's the use? For example, if you want to build an AI-intelligent Web IDE, you can call the intelligent completion interface when the user writes code to realize the AI automatic completion function.
Then enter IDEA to install the Tabby plug-in. It should be noted that the IDEA version must be after 2023.1, otherwise it cannot be installed. Search for TAI and click Install. The installation process requires a local node.js environment. It is best to keep the version above 18. After checking that there is no problem with the node version, open IDEA's settings panel and search for Tabby. Some settings are required here. Copy the access path of the console to the server address, and then copy the corresponding token. Check link status. If specific text appears, the connection is successful. At this time, you can start classes at will and have your own smooth AI large model experience.
In addition to the Tabby model, the text-to-speech model Chat TTS has also been popular for some time. However, due to the difficulty of installation and deployment, many people are unable to get started and experience it in time. Nowadays, with the help of short brain cloud, the threshold and cost of use have been greatly reduced. If necessary, you can temporarily open an instance, enter the copy, click Generate, wait a moment to obtain the audio, and then release the instance to stop consuming mental energy. It is truly flexible and convenient to use and stop at any time.
Short brain cloud not only covers AI coding assistance and text-to-speech applications, but also has many built-in official applications and community applications. In the future, AIGC applications such as video production, audio processing, automatic composition, and automatic choreography will also be launched one after another. Artificial intelligence brings infinite possibilities to our work and life, and Touran Cloud is the key platform to promote this change. Whether it is deep learning, large language models, or image generation, Tuannao Cloud can provide efficient and flexible GPU computing power rental services, so that we no longer need to worry about hardware costs and environment construction. With the help of Duannao Cloud, you can get powerful computing power support anytime and anywhere, realize innovation faster, and let AI create more value.
I hope everyone can benefit from these tools and platforms and start an efficient and innovative artificial intelligence journey. If you have any experience or questions during use, please share and communicate in the comment area. If you find the article useful, don’t forget to like and share it to let more people know about these practical AI technologies. Looking forward to bringing you more exciting content next time!
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