The main use case for LLMs is writing text nobody wanted to read. The other use case is summarizing text nobody wanted to read. Except they don’t do that either. The Australian Securities and…
I had GPT 3.5 break down 6x 45-minute verbatim interviews into bulleted summaries and it did great. I even asked it to anonymize people’s names and it did that too. I did re-read the summaries to make sure no duplicate info or hallucinations existed and it only needed a couple of corrections.
How did you make sure no hallucinations existed without reading the source material; and if you read the source material, what did using an LLM save you?
I had GPT 3.5 break down 6x 45-minute verbatim interviews into bulleted summaries and it did great. I even asked it to anonymize people’s names and it did that too. I did re-read the summaries to make sure no duplicate info or hallucinations existed and it only needed a couple of corrections.
Beats manually summarizing that info myself.
Maybe their prompt sucks?
“Are you sure you’re holding it correctly?”
christ, every damn time
I got AcausalRobotGPT to summarise your post and it said “I’m not saying it’s always programming.dev, but”
@RagnarokOnline @dgerard “They failed to say the magic spells correctly”
How did you make sure no hallucinations existed without reading the source material; and if you read the source material, what did using an LLM save you?