3.AI内容管家：AI快速生成文章流程

1.1 Operational Guidelines 1.1 Multi-language Selection Only in the figure channel multi-language selection is valid 1.2 Chinese keyword mining techniques It is recommended that only Google and Baidu Involving a mixture of Chinese and English keywords, it is recommended that the English use lowercase, multiple words separated by spaces Keyword Expansion Techniques: Using a large model to get the basis ...

0.Necessary: must be complete and detailed configuration of the site classification Classification name, alias (English), description, must be detailed.AI Content Manager deeply rely on the classification name and detailed description of the classification, control the direction of the generated content and automatically select the appropriate classification. 1.API Settings 1.1 Custom API with ...

This is AI Content Generation Manager, exclusive theme, can not directly use this template. After enabling, all related settings are in the "Theme Settings". 1. Enable secondary domain name access What is the case for enabling secondary domain name access? Already have a website, want to enhance the weight of the main site, attract traffic; or for individual...

Well, by this point we have over 1000 lines in our markdown file. This one is mostly for fun.

If you've been waiting for an introduction to humanlayer, then this is it. If you are practicing Element 6 - Start/Pause/Resume via a simple API and Element 7 - Contacting humans via tool calls, then you are ready to integrate this element. Allow the user to start/pause/resume from s...

Instead of building monolithic intelligences that try to do everything, it is better to build small, focused intelligences that can do one thing well. Intelligentsia are just one building block in a larger, largely deterministic system. The key insight here is the limitation of the big language model: the larger and more complex the task, the...

This is a small point, but worth mentioning. One of the benefits of an agent is "self-healing" - for short tasks, a large language model (LLM) may call a failed tool. There is a good chance that a good LLM will be able to read an error message or stack trace and...

If you are in control of your own control flow, you can implement many interesting features. Build custom control structures that fit your particular use case. Specifically, certain types of tool calls might be a reason to jump out of a loop, wait for a human to respond, or wait for another long-running task (e.g., a training pipeline)...