Issue #11 | How can we make systems that integrate LLM's like ChatGPT more reliable? Here are practical techniques (and research) to mitigate hallucination and improve overall performance.
Really enjoyed reading this. Currently doing research on hallucinations and I'm glad I came across this.
Great. work. Very in-depth coverage.
Great summary, thank you.
Wondering if there are visualizations/UIs that can help capture model performance in various interim states?
Or provenance/bias of training datasets?
Great work; curious, how do you generate your post images? It looks great
Practical Steps to Reduce Hallucination and Improve Performance of Systems Built with Large Language Models
Really enjoyed reading this. Currently doing research on hallucinations and I'm glad I came across this.
Great. work. Very in-depth coverage.
Great summary, thank you.
Wondering if there are visualizations/UIs that can help capture model performance in various interim states?
Or provenance/bias of training datasets?
Great work; curious, how do you generate your post images? It looks great