谷歌 gemini1.5 介绍:https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024
谷歌 gemini1.0 介绍 https://blog.google/technology/ai/google-gemini-ai/#sundar-note
Gemini1.5技术文档(PDF)https://goo.gle/GeminiV1-5
谷歌 gemini1.5 介绍:https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024
谷歌 gemini1.0 介绍 https://blog.google/technology/ai/google-gemini-ai/#sundar-note
Gemini1.5技术文档(PDF)https://goo.gle/GeminiV1-5
I fed an *entire* biology textbook into Gemini 1.5 Pro.
— Mckay Wrigley (@mckaywrigley) February 21, 2024
491,002 tokens.
I asked it 3 extremely specific questions, and it got each answer 100% correct.
1M token context windows are a gamechanger. pic.twitter.com/Xby8aDiItp
Wow. This takes "chatPDF" to an entirely new level.
— Sully (@SullyOmarr) February 23, 2024
Don't think this is possible with regular rag either
I gave 4 highly tabular pdfs to gemini 1.5 (tesla financials)
it understood the entire context, summed all the tabular values and gave me a nearly perfect response. pic.twitter.com/IxAYTWTWXD
@Google's Gemini 1.5 Pro watches and critiques a video made by @OpenAI SORA. pic.twitter.com/ZPBHHYUh3K
— Gabor Cselle (@gabor) February 17, 2024
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