Dive into Google's powerful new Gemini 2.5 Pro Experimental model! In this hands-on tutorial, we explore its capabilities directly in Google AI Studio and learn how to interact with it programmatically using the Python API in Google Colab.
Join me as I:
► Introduce Gemini 2.5 Pro and check its current performance rankings.
► Demonstrate its multimodal features in Google AI Studio by analyzing a YouTube video.
► Walk through setting up and using the `genai.Client` in Python (Google Colab).
► Explain the Gemini 2.5 Pro API details, capabilities, and limitations.
► *Crucially, show how to implement code that respects the FREE TIER rate limits (2 Requests Per Minute / 50 Requests Per Day) with appropriate delays.*
► Run a practical Colab example: Reading prompts from a CSV and using Gemini 2.5 Pro to rewrite them.
Whether you're a developer, AI enthusiast, or just curious about the latest LLMs, this video provides a practical look at using Gemini 2.5 Pro and navigating its current free tier access limitations.
*Timestamps:*
00:00 - Introduction: Gemini 2.5 Pro
00:26 - Gemini 2.5 Pro Performance Ranking
00:46 - Model Details in AI Studio (Pricing, Use Cases, Cutoff)
01:36 - Multimodal Demo: Analyzing a YouTube Video in AI Studio
02:30 - Gemini 2.5 Pro API Documentation Overview (Model Name, Tokens, Capabilities)
03:19 - Understanding API Rate Limits (Free Tier Focus)
03:35 - Google Colab Goal: Python API for Prompt Rewriting
*Relevant Links:*
🔗 Google AI Studio: [https://deepmind.google/technologies/...]
🔗 Gemini API Documentation: [
https://ai.google.dev/gemini-api/docs...
https://ai.google.dev/gemini-api/docs...
]
🔗 Google Colab Notebook (GitHub Gist/Repo): [https://github.com/LLM-Implementation...]
🔗 Chatbot Arena: https://lmarena.ai//
🔗 My Previous Gemini Fine-tuning Video: [ • Practical Gemini Fine-Tuning: Step-by-Step... ]
Let me know your thoughts or questions about Gemini 2.5 Pro in the comments below! If you're learning about LLMs, consider subscribing!
#gemini #googleai #llm #python #googleaistudio #googlecolab #ai #generativeai #LLMImplementation