The company is on the verge of releasing Gemini, its highly-anticipated new large language model, which will be closely compared to OpenAI’s GPT-4.
Hsiao isn’t part of the team building Gemini – a newly-formed coalition of DeepMind and Google’s Brain unit – but she is responsible for some of the major products that will give users access to these new AI systems.
Hsiao’s team recently introduced a feature that highlights information Bard suspects may not be accurate.
Its arrival also suggests that the company is rethinking what the Assistant – which has stagnated in recent years – actually is in the era of powerful LLMs.
While chatbots and large language models have wowed users, there are still questions about whether these AI systems are actually going to be useful in the long term.
Google’s advantage here is its array of already popular apps, such as Gmail, Docs, and Maps, that it can inject the underlying AI abilities into.
The original article contains 889 words, the summary contains 158 words. Saved 82%. I’m a bot and I’m open source!
This is the best summary I could come up with:
The company is on the verge of releasing Gemini, its highly-anticipated new large language model, which will be closely compared to OpenAI’s GPT-4.
Hsiao isn’t part of the team building Gemini – a newly-formed coalition of DeepMind and Google’s Brain unit – but she is responsible for some of the major products that will give users access to these new AI systems.
Hsiao’s team recently introduced a feature that highlights information Bard suspects may not be accurate.
Its arrival also suggests that the company is rethinking what the Assistant – which has stagnated in recent years – actually is in the era of powerful LLMs.
While chatbots and large language models have wowed users, there are still questions about whether these AI systems are actually going to be useful in the long term.
Google’s advantage here is its array of already popular apps, such as Gmail, Docs, and Maps, that it can inject the underlying AI abilities into.
The original article contains 889 words, the summary contains 158 words. Saved 82%. I’m a bot and I’m open source!