After a few delays and a lot of hype, Google just released Gemini, their new GenAI model. In this video I break down the 60 page paper they released in support of the launch, with highlights below.

Here are the TL:DW highlights:

Gemini outperformed GPT-4 in 30 out of 32 benchmarks – but take this with a grain of salt as the source is Google itself
Gemini has three versions: Nano (for phones), Pro (comparable to GPT-3.5), and Ultra (comparable to GPT-4, but not yet released).
Gemini Pro has replaced Palm-2, which powered Bard and was known to have some major issues
Gemini was trained on multi-modal data and can handle diverse inputs (text, video, audio, images) and output both text and images
Education use case: Gemini can analyze complex student submissions that combine text and visuals and does well on academic benchmarks
The model has a 32K context window, significantly smaller than both GPT-4 Turbo and Claude
Unfortunately the lack of transparency trend across GenAI continues with no transparency on training data, bias mitigation, red-teaming, and harm mitigation
Gemini hallucinates (makes things up that sound true) just like all other GenAI models
With no model cards yet and no access to Gemini Ultra, there is still quite a lot we still don't know. But I'm looking forward to seeing if there finally is a contender in the best LLM race that OpenAI keeps winning

With no model cards yet and no access to Gemini Ultra, there is still quite a lot we still don't know. But I'm looking forward to seeing if there finally is a contender in the best LLM race that OpenAI keeps winning.

Have you had a chance to try Gemini out yet? What do you think?

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