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Gemini 2.0 is now available to everyone

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Re: Gemini 2.0 is now available to everyone

#11

Post by VenturingVole »

w0m wrote: post #4
progbits wrote: post #3

Earlier quoted context omitted.

How does release of LLM API relate to assistant?

Pixels replaced Assistent w/ Gemini a while back and it was horrendous; would answer questions but not perform the basic tasks you actually used Assistant for (setting timer, navigating, home control, etc). Seems like they're approaching parity (finally) months and months later (alarms/tv control work at least now), but losing basic oft-used functionality is a serious fumble.

I feel as though some of the rigour of systems engineering is missing from AI model development/integration. Not a negative per-se, as velocity is incredibly important: But it seems a lot of lessons have to be learned again.

I sometimes forget - it is still very early days relatively speaking.

As a user of Gemini 2.0, so far I have been very impressed for the most part.

Re: Gemini 2.0 is now available to everyone

#12

Post by mohsen1 »

sho_hn wrote: post #6

Anyone have a take on how the coding performance (quality and speed) of the 2.0 Pro Experimental compares to o3-mini-high? The 2 million token window sure feels exciting.

I don't know what those "needle in haystack" benchmarks are testing for because in my experience dumping a big amount of code in the context is not working as you'd expect. It works better if you keep the context small

Re: Gemini 2.0 is now available to everyone

#13

Post by llm_trw »

mohsen1 wrote: post #8

> available via the Gemini API in Google AI Studio and Vertex AI. > Gemini 2.0, 2.0 Pro and 2.0 Pro Experimental, Gemini 2.0 Flash, Gemini 2.0 Flash Lite 3 different ways of accessing the API, more than 5 different but extremely similarly named models. Benchmarks only comparing to their own models. Can't be more "Googley"!

You missed the first sentence of the release:

>In December, we kicked off the agentic era by releasing an experimental version of Gemini 2.0 Flash

I guess I wasn't building AI agents in February last year.

Re: Gemini 2.0 is now available to everyone

#15

Post by airstrike »

mohsen1 wrote: post #12
sho_hn wrote: post #6

Anyone have a take on how the coding performance (quality and speed) of the 2.0 Pro Experimental compares to o3-mini-high? The 2 million token window sure feels exciting.

I don't know what those "needle in haystack" benchmarks are testing for because in my experience dumping a big amount of code in the context is not working as you'd expect. It works better if you keep the context small

I think the sweet spot is to include some context that is limited to the scope of the problem and benefit from the longer context window to keep longer conversations going. I often go back to an earlier message on that thread and rewrite with understanding from that longer conversation so that I can continue to manage the context window

Re: Gemini 2.0 is now available to everyone

#17

Post by progbits »

w0m wrote: post #4
progbits wrote: post #3

Earlier quoted context omitted.

How does release of LLM API relate to assistant?

Pixels replaced Assistent w/ Gemini a while back and it was horrendous; would answer questions but not perform the basic tasks you actually used Assistant for (setting timer, navigating, home control, etc). Seems like they're approaching parity (finally) months and months later (alarms/tv control work at least now), but losing basic oft-used functionality is a serious fumble.

Thanks, didn't know, never really used these voice assistants.

It's a weird choice, I suppose the endless handcrafted rules and tools don't scale across languages and usecases but then LLM are not good at reliability. And what's the point of using assistant that will not do the task reliably, if you have to double-check you are better of not using it...

Re: Gemini 2.0 is now available to everyone

#20

Post by raverbashing »

mohsen1 wrote: post #8

> available via the Gemini API in Google AI Studio and Vertex AI. > Gemini 2.0, 2.0 Pro and 2.0 Pro Experimental, Gemini 2.0 Flash, Gemini 2.0 Flash Lite 3 different ways of accessing the API, more than 5 different but extremely similarly named models. Benchmarks only comparing to their own models. Can't be more "Googley"!

Honestly naming conventions in the AI world have been appalling regardless of the company
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