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I love your demo for this. It's one of the best demos I've ever come across in a launch HN. Very easy to understand and use. It seems to suffer with more comple
by koeng 3y ago
I love your demo for this. It's one of the best demos I've ever come across in a launch HN. Very easy to understand and use. It seems to suffer with more complex questions though. For example:
Question: Why does the pUC19 plasmid have a high copy number in bacterial cells?
Expected answer: The pUC19 plasmid has a high copy number due to the lack of the rop gene and a single point mutation in the origin of replication (ori) derived from the plasmid pMB1.
GPT response: The pUC19 plasmid has a high copy number in bacterial cells due to the presence of the pUC origin of replication, which allows for efficient and rapid replication of the plasmid.
Both are technically correct - the expected answer is simply more detailed about the pUC origin, but both would be considered correct. It seems difficult to test things like this, but maybe that's just not possible to really get correct.
I wonder how well things like FutureHouse's wikicrow will work for summarizing knowledge better - https://www.futurehouse.org/wikicrow https://www.futurehouse.org/wikicrow - and how that could be benchmarked against Talc
- matt_lee 3y agoThank you for the kind words! One of my regrets about the demo is that we paid a lot of attention to showing off our ability to generate high quality Q/A pairs, but not nearly as much to showing what a thoughtful and thorough grading rubric can do. It's totally possible to do a high quality grading given a rubric that sets expectations! Great implementations we've seen use categories like correct / correct but incomplete / correct but unhelpful / incorrect to better label the situation you describe. We've found that we can grade with much more nuance given a good rubric and categories, but unfortunately didn't focus on that side of things in the demo I'm not familiar with wikicrow, will check it out!