[LAUNCH DAY] Introducing Gemini 1.5 Pro
With an Experimental 1 Million Token Context Window!
It’s been an incredibly exciting time at work again as I’ve been hard at work with the team preparing for the launch of Gemini 1.5 Pro, launching with an experimental and groundbreaking 1 million token context window! You can sign up for the Private Preview of Gemini 1.5 Pro, which will be available to try out in Google AI Studio.
Check out my post on the Google Developer Blog to learn more Gemini 1.5: Our next-generation model, now available for Private Preview in Google AI Studio
To celebrate this incredible new capability, I wanted to showcase a fun demo I’ve been hacking away at.
In this demo I show how Gemini 1.5 Pro is not only able to take in and understand the contents of an entire book, “The Count of Monte Cristo”, it can then digest “Frankenstein” and draw parallels between the two. Afterwards, it’s able to literally judge a book by its cover - when I showed it a picture of “The Little Engine That Could” - and apply its lessons to the main characters in both of the other classic novels!
Check out the full demo video here:
Prompt #1:
Count of Monte Cristo give me a short tl;dr on this story
Prompt #2
What is one insightful moment in this story? Provide an exact quote that best exemplifies this.
Prompt #3
Frankenstein What are three common themes in these 2 novels? Provide an explanation for each.
Prompt #4
what is a lesson from this book [Hungry Caterpillar] that could benefit the main characters from the 2 stories?
For the 4th prompt I used this image in my prompt:
In all my playing around with this model I have to asy, the results from Gemini 1.5 Pro were both insightful, and honestly, kind of mindblowing.