When sharing WebUI/ComfyUI, I learned from private messages in the backend that there are equipment barriers to learning:
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Insufficient computer configuration
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Using cloud platforms costs money, and it’s uncertain whether one can persist in learning
However, learning AI Agents currently has no monetary 💰 cost barriers,
Although you get what you pay for, free 🆓 frameworks and platforms are sufficient.
Currently, major tech companies are entering the AI field, so there are many options for AI Agent frameworks/platforms.
This article provides some selection suggestions based on application scenarios.
First, let’s share two C-end (consumer-facing) framework platforms:
OpenAI GPTs
The pioneer of intelligent agents, domestic companies have basically designed their models by imitating OpenAI, then improving and innovating.
It must be said that the model capability of GPTs is currently the strongest, but the drawback is that it charges fees.
Coze (Recommended)
Developed by ByteDance, currently free to use, supports workflow creation.
The drawback is that its model capability is weaker compared to GPTs, but it can handle general tasks.
Considering that enterprise data cannot be leaked, if you want to connect to privately deployed enterprise models, consider the following B-end user frameworks/platforms:
FastGPT
The advantage is that the knowledge base is well-developed, with data splitting, mixed checking, and reordering functions;
Disadvantage: fewer plugins
Dify
More inclined to make intelligent agents and workflows, with a relatively rich set of plugins
DB-GPT
Suitable for data analysis, such as automatically generating charts from natural language
When applying, understanding the pros and cons of each framework is essential to selecting the right framework/platform.
The next sharing will focus on the application of Coze.
That’s all for today~
I hope you gain something, keep it up!