Ask HN: How user behaviour have evolved in post ChatGPT world?
I am using more of chatgpt as compared to google search and stackoverflow for same queries.Just curious what changes have you observed in your day to day activities?
I am using more of chatgpt as compared to google search and stackoverflow for same queries.Just curious what changes have you observed in your day to day activities?
Please share top 3 development/production problems that you have faced in order of priority.
Anyhting else come to mind ?
I am seeking insights into the future of Prompt Engineering across different segments:- Company Sizes: Small, Mid-Size, Large - Roles: Tech, Product, Non-TechHow much time do you foresee developers or companies dedicating to prompt engineering?I understand this question is quite open-ended, but I'm eager to gather perspectives.
Framework comprises - LLM as a Service for Data Scientists, empowering data labelling and fine-tuning - Prompt as a Service for Prompt developers, streamlining prompt management - Workflow as a Service for Plugin developers to construct workflow plugins, facilitating the distribution of LLM, Prompts, and Plugins via APIs.
The Open Source framework encourages collaborative dataset development and enhances reusability of prompt packages and fine-tuned LLMs, facilitating sharing and monetization on an open marketplace.
For starters
- provide apis to track custom exceptions though try catch
- enables you to track errors for cross origin scripts
- support minified code through source map
- track the users so its easy to understand the impact of problem.
- supports modular logging same as server side
- track custom events
- search though the data
And much more
Check out documentation to know more
Yes, you can definitely hack things as required to make sense for you, but google analytics doesnot do that automatically.
Whereas Ranger.io seems to monitor URLs, if the url doesnot open it will report