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Its called Gemini. Google's own mega-multimodal model. Google merged google brain and deepmind to start developing Gemini. All the talent left at Google to go a

Its called Gemini. Google's own mega-multimodal model. Google merged google brain and deepmind to start developing Gemini. All the talent left at Google to go all in on this. The other AI products at google were just polishing up their old stuff to hastily release. Gemini is their real attempt at catching up to GPT-4.

ineedasername 3y ago
So far I have found Bard to be significantly worse at some basic tasks. A simple request to give me the text of the opening scene of King Lear met with a badly comical rewrite in modern prose that got basic things wrong (all the daughters professed their love for their father a and received equal shares of land & dowry) I point out the inaccuracy and reinforced my request for the exact verbatim text. And then proceeded to give— still— a rewritten version albeit slightly closer to the true text. Bing and ChatGPT both complied on the first try. On the other hand, bard performed much better at a more complex task: I provided fake data spanning six years and a few rows of different categories. I left the sixth year blank. Without prompting it, reformatted the from comma do you limited into a nice table. It also gave a brief summarization and analysis of the trends. When I asked follow-up questions he gave detailed responses that were moderately insightful for anyone that would be familiar with the data domain given a few minutes to review the data set. Finally, I asked it to give a projection of what the values would be for the final column, which I had left blank. It did so, with an explanation of the trend it observed, as well as a description of the linear regression model. It used it and apologized for not being able to give more complex modeling due to the Small data set. GPT-4 provided answers and analysis that were comparable in quality, but required additional rounds of prompting and clarification.
- aix1 3y ago
  Just to disentangle this a bit, GP's post was about Gemini and you're responding about Bard. The two are different things. Gemini hasn't been trained yet; it's the next-gen thing that's currently being worked on (Pichai mentioned it at I/O). It obviously remains to be seen how good Gemini will be. I just wanted to clear up the apparent confusion.
  - deleted 3y ago
    [deleted]
  - reaperman 3y ago
    I'd imagine you could extrapolate from PaLM/PaLI, which are both impressive.

ineedasername 3y ago

So far I have found Bard to be significantly worse at some basic tasks. A simple request to give me the text of the opening scene of King Lear met with a badly comical rewrite in modern prose that got basic things wrong (all the daughters professed their love for their father a and received equal shares of land & dowry) I point out the inaccuracy and reinforced my request for the exact verbatim text. And then proceeded to give— still— a rewritten version albeit slightly closer to the true text. Bing and ChatGPT both complied on the first try. On the other hand, bard performed much better at a more complex task: I provided fake data spanning six years and a few rows of different categories. I left the sixth year blank. Without prompting it, reformatted the from comma do you limited into a nice table. It also gave a brief summarization and analysis of the trends. When I asked follow-up questions he gave detailed responses that were moderately insightful for anyone that would be familiar with the data domain given a few minutes to review the data set. Finally, I asked it to give a projection of what the values would be for the final column, which I had left blank. It did so, with an explanation of the trend it observed, as well as a description of the linear regression model. It used it and apologized for not being able to give more complex modeling due to the Small data set. GPT-4 provided answers and analysis that were comparable in quality, but required additional rounds of prompting and clarification.

aix1 3y ago
Just to disentangle this a bit, GP's post was about Gemini and you're responding about Bard. The two are different things. Gemini hasn't been trained yet; it's the next-gen thing that's currently being worked on (Pichai mentioned it at I/O). It obviously remains to be seen how good Gemini will be. I just wanted to clear up the apparent confusion.
- deleted 3y ago
  [deleted]
- reaperman 3y ago
  I'd imagine you could extrapolate from PaLM/PaLI, which are both impressive.