Duration: 0:00

311 views

5

In this video, I dive deep into the math capabilities of Google's latest experimental language model, Gemini 1.5 Pro. From solving complex number theory problems to handling algebraic equations, this AI model has shown impressive potential. However, it's not without its quirks.

Join me as I walk through various mathematical challenges, explore the model's performance under different settings, and analyze where it excels and where it needs improvement. I'll also demonstrate how to use Google AI Studio for these tests and share tips on optimizing the model's accuracy by tweaking parameters like temperature.

Whether you're an AI enthusiast or just curious about the latest advancements in machine learning, this video offers a detailed look at what Gemini 1.5 Pro can do. Don't forget to check the description for links to tools like Obsidian and the Quick Latex plugin that I used for rendering mathematical expressions.

Chapters

00:00 Intro
00:21 Google Ai Studio
00:39 Number Theory Problem (Default Parameters)
01:07 Why Incorrect?
02:06 Temperature 0.2
02:27 Better yet Incorrect
03:02 Temperature 0
03:34 Luck or Perfection?
03:53 LaTex: Markdown for Maths
04:15 Simple Interest Problem
04:52 Time & Distance Problem
05:17 Quadratic Equations too
05:56 Outro

Let me know your thoughts in the comments—do you think Gemini 1.5 Pro is the new math genius in the AI world? And if you enjoyed this exploration, be sure to subscribe for more AI content. Thanks for watching!


Links Mentioned:
https://ai.google.dev/aistudio
https://obsidian.md/
https://github.com/joeyuping/quick_la...

#ai #maths #googleai #gemini