A very similar "how to guide" can be found here https://ampcode.com/how-to-build-an-agent written by Thorsten Ball. In general Amp is quite interesting - obviously no hidden gem anymore ;-) but great to see more tooling around agentic coding being published. Also, because similar agentic-approaches will be part of (certain/many?) software suits in the future.
- Combining LLMs, gradient boosting, and multiple statistical/heuristic based approaches
- For LLMs: rely on (quite) large context length + fine-tuning
- The (ML) models are used to extract mathematically provable quality checks
We (https://dqc.ai) are doing something in the space, yes. Next to a mixture of ML, and heuristic based approaches, plus link & integrations into source systems. Happy to talk about it, feel free to reach out.
Hehe... hi Lars, long time no "see" ;-)
Yes, he is and I was also very happy to see the project getting mentioned here! I used it myself and was always impressed about it!
Atfarm - https://at.farm - uses satellite data to provide precision fertilization maps for farmers across the globe. (Disclaimer: involvement in the setup)
