We are rolling out Gemini 1.5 Pro API so that you can keep building amazing stuff on top of the model like we've seen in the past few weeks. Also, if you just want to play with Gemini 1.5, we removed the waitlist: http://
aistudio.google.com Last, but not least, we pushed the model
@oriolvinyalsml
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Google Rolls Out Gemini 1.5 Pro API for Developers
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GPU Infrastructure Evolution: From Personal Desktops to University Investment
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Even I as a @UCBerkeley grad student had 8 gpus in my (non uni) desktop in 2012 (electricity bills weren't cheap…). Time to invest @Stanford
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Google Launches Gemma Open Source Models Built on Gemini Technology
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It certainly has been a fun year @Google
: enjoy playing with our open source models Gemma, built from the same research and technology used to create the Gemini models. Blog: https://
blog.google/technology/dev
elopers/gemma-open-models/
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Tech report: https://
storage.googleapis.com/deepmind-media
/gemma/gemma-report.pdf
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Gemini 1.5 Pro Model Guide Released With 1M Token Context
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The Gemini 1.5 Pro model guide is live! With support of up to 1 million tokens context length, you may be wondering what's possible with Gemini 1.5 Pro. My overall impression after our first round of testing is that Gemini 1.5 Pro is among the most powerful long context LLMs
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Gemini-1.5 Pro Represents Most Significant LLM Advancement
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— Oriol Vinyals (@OriolVinyalsML) 20 février 2024
Ok, I've been waiting a while before saying it confidently, but I now understand that the Gemini-1.5 Pro had its deserved spotlight stolen last week by Sora. After experimenting with it for a while, I believe it represents the most significant advancement in LLM capabilities
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Building Megaprompt for Meeting Transcripts Analysis Across LLMs
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Spent the last few days building a megaprompt for a client. This one takes in a 1-hour meeting transcript and outputs a report that becomes the basis for a paid consulting deliverable. Ran it in 4 LLMS:
– ChatGPT (GPT-4 Turbo)
– GPT-4 Turbo in OpenAI Playground
– Claude-2 via -
Gemini 1.5’s 10M Context Window Enables Personalization Without Fine-tuning
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With Gemini 1.5's nearly perfect 10 million context you can:
– give entire code bases, 100+ papers, documents
– give it all the information about me (emails, writing examples etc) and have it act entirely like me WITH 0 fine tuning Your entire life can be in its context window -
Gemini 1.5 Context Window RAG Production Impact Analysis
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Gemini 1.5 is a much bigger deal than Sora. 1. The 10M context window fundamentally changes how we think about RAG. Not just large, but also effective. 2. Pro-1.5 Beats Ultra-1.0. There’s a fundamental modeling improvement. 3. It’s in production, you can use it today. I too
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Gemini 1.5 Shows Impressive Long Context Performance Leap
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Ok, gemini 1.5 is really really good. seriously the most impressive jump i've seen in models in a while when it comes to long context just tried with a paper and asked it "what does Figure 5 show?" it contextualized the whole thing and answered based on that tiny section +