Viewing profile — simonhughes22
simonhughes22
HN member- Joined
- Fri, Apr 12, 2013, 3:09 PM UTC
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About simonhughes22
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Comment #38408446
This is like calling the nuclear anti-proliferationists useless when they had just gotten started. AGI has only been in the general public's consciousness for about a year since Ch…
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Comment #38385315
Llama 2 (and variants). Has the lowest hallucination rate ( https://github.com/vectara/hallucination-leaderboard ), and its open source and so we know what went into it, and the co…
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Comment #38383945
Yeah it's odd they chose Palm 2 to compare against. Not a very strong model by most measurements.
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Comment #38383632
Like a number of other LLMs we tested, including the Palm 2 chat model (chat-bison-001), it adds in the street value, and assumes the plants are cannabis (which is reasonable but i…
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Comment #38383561
Prompt: You are a chat bot answering questions using data. You must stick to the answers provided solely by the text in the passage provided. You are asked the question 'Provide a …
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Comment #38383556
The model is bad at hallucinating despite their claims. See the first prompt i tried here: https://twitter.com/hughes_meister/status/172740068973816258...
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Comment #38383453
This is just typical of so much work in the field. They pick and choose which models to compare against and on which benchmarks. If this model was truly great, they would be compar…
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Comment #38169650
You can view the responses here in the linked csv file: https://github.com/vectara/hallucination-leaderboard
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Comment #38169633
The original data we used was not annotated with sources, only where the overall data came from. Most was news articles. The length doesn't seem to matter too much as we see a lot …
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Comment #38169480
We may write a research paper at some point. For now, see here: https://vectara.com/cut-the-bull-detecting-hallucinations-in... Given the number of models involved, we have over 9k…
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Comment #38169388
Yes. Just because the model is smaller doesn't always mean by default it's worse, as they may be trained for less time or on less data, which in some cases could be beneficial. The…
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Comment #38169368
Yes thanks for fixing that.
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Comment #38167648
I worked on the model with our research team. Recently featured in this NYT ( https://www.nytimes.com/2023/11/06/technology/chatbots-hallu... . Post here to AMA. We are also lookin…
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Comment #38163925
That's the term used by the academic literature also, so Hallucinate is an industry standard term.
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Comment #37792919
It's not that simple. Originally OpenAI released a model to try and detect whether some content was generated by an LLM or not. They later dropped the service as it wasn't accurate…
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Comment #37665999
Wondering how many people are now downloading this and other libs like Dart and trying to do stock market prediction or crypto price forecasting. Most of the devs i know, myself in…
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Comment #31260384
This is why i moved to data science so i can focus more on solving problems than picking frameworks and libraries. We are not completely immune to this problem, but by and large th…
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Comment #30702095
Thanks that is definitely broken. Logging the issue right now.
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Comment #30700080
I'd suggest using the app over the mobile website. If you are in store, it will tell you where in the store the items are (Bay and Aisle) which is super useful.
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Comment #30700063
It does semantic matching. We don't have a lot of exact matches for that search for birch wood (given the exact dimensions) so the engine broadens the search criteria automatically…
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Comment #30700012
I worked on the system. It's a similar idea but it's on e-commerce products and not websites. So you can't use things like page rank when doing product search.
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Comment #30699775
The results here look fine to me in positions 3 and 4 - https://www.homedepot.com/s/2'x4'%2520piece%2520of%2520birch... What are you expecting to see? I worked on this search engin…
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Comment #29943566
I agree.