What exactly can an AI assistant do?
Can write novels
Can parse and write code
Can inspire the heart
Provide career advice
There are many more abilities that you need to explore on your own. Next, we will spend 5 minutes deploying an AI assistant based on Function Compute X to help you write all kinds of copywriting.
Claim your Function Compute trial credit
To activate Function Compute for the first time, you must receive trial resources, and users who activate for the first time can enter the console to claim them. Newly activated Function Compute users can enjoy an exclusive package of 0 RMB, valid for 3 months, with a total value of 180 RMB. The plan is limited to 1 purchase and includes four trial packages: 500,000 vCPUs* seconds + 2 million GB* seconds + 8 million function calls + 1 million GB* seconds GPU.
Deploy the AI assistant
Open the Function Compute console App->Create App-> Artificial Intelligence-> Tongyi Qianwen AI Assistant ->Create Now.
Click Direct Deployment.
In the Advanced Configuration section, you need to fill in the API-KEY of Tongyi Qianwen and create it according to the guidelines. Here you need to enter the Lingji platform https://dashscope.console.aliyun.com/overview immediately get the API-KEY of Tongyi Qianwen.
Linji Platform Page:
Open the Spirit Platform, create an API-KEY, and copy the created API-KEY to the form section of the Function Compute console.
Remember the access password of the client, you need to use it when accessing, or you can set it yourself.
Process the authorization, confirm it, and wait quietly for the service to deploy.
After successful deployment, you can directly access the services that begin with the client.
Operational Q&A
Visit the address at the beginning of client and you will get a page:
You are required to enter a password, here to protect the service from being accessed by others, you can customize this password when deploying.
For example, the default password fc-qwen, then we can enter it.
Succeed!
illustrate
Function Compute X Tongyi Qianwen This application shows you a minimal feature set using a large language model, we are based on the open source ChatGPT-Next-Web as a client docking commercial version of Qianwen's service capabilities, in order to meet the standard streaming response, Function Compute's service middle layer made a transformation.
Building linked large language models based on function computing is the fastest and most effective solution we have seen so far, if you are a developer, you can also try to build more large language model applications based on FC, welcome to communicate.
Welcome to the AIGC Fiction Contest
See you on the cloud 1024 · AIGC Novel Competition, Function Compute X Tongyi Qianwen Easy Deployment