Ask HN: Are you using a GPT to prompt-engineer another GPT?

• dspy

  22 10,820 9.9 Python

  DSPy: The framework for programming—not prompting—foundation models

  

You should check out x.com/lateinteraction's DSPy — which is like an optimizer for prompts — https://github.com/stanfordnlp/dspy

• Adala

  5 732 9.1 Python

  Adala: Autonomous DAta (Labeling) Agent framework

  

We recently open sourced an agent framework [1] for automating data processing and labeling where the prompt is refined trough iterations (i.e. automatic prompt tuning). We tested it on the Math reasoning dataset GSM8k and where able to improve the baseline accuracy (GPT4) by 45% -> 74% using 25 labeled examples (I'll put the notebook and blog post linked below [2][3]). Results are definitively very interesting, if not surprising with some skills, and we see more and more of our open source users and customers showing interested in the framework for automating labeling / having it as a data processing / labeling copilot.

[1] https://github.com/HumanSignal/Adala

[2] https://github.com/HumanSignal/Adala/blob/master/examples/gs...

[3] https://labelstud.io/blog/mastering-math-reasoning-with-adal...

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project