Unleash Google Gemini 1.5 Pro: The Ultimate Multimodal AI Tutorial

Title:
Unleash Google Gemini 1.5 Pro: The Ultimate Multimodal AI Tutorial
Description:
Get ready to dive deep into Google Gemini 1.5 Pro, the cutting-edge AI model taking the world by storm! This comprehensive tutorial will demystify Gemini's impressive features, from text generation to image analysis and audio processing.
We'll go beyond the basics and build real-world applications, showcasing how you can leverage Gemini's massive 1 million token context window to solve complex problems and unlock creative potential.
What You'll Discover:
- Gemini 1.5 Pro In-Depth: Understand the architecture and capabilities of this powerful multimodal model.
- Text Generation Mastery: Learn how to craft effective prompts for various tasks like writing, summarizing, and translating.
- Image & Audio Power: See how Gemini can analyze and generate images and audio, opening up new possibilities for creative projects and data analysis.
- Python Implementation: Follow along with hands-on code examples in Python to build your own Gemini-powered applications.
Who This Tutorial is For:
- AI Enthusiasts & Developers: Whether you're a beginner or an experienced coder, this tutorial will equip you with the skills to harness Gemini's potential.
- Content Creators: Discover how Gemini can help you generate ideas, write better content, and even create AI-generated art.
- Data Scientists & Researchers: Explore how Gemini can be used for natural language processing (NLP) tasks and data analysis.
- Anyone Curious About AI: If you're fascinated by the future of artificial intelligence, this tutorial is a must-watch!
Don't Miss Out!
Join me on this AI adventure and learn how to unlock the full potential of Google Gemini 1.5 Pro. Subscribe to my channel and hit the notification bell so you won't miss any future tutorials. Let's build the future together!
-------------------------------------------------------------------------------------------------------------
TIMESTAMPS:
00:06 Introduction
00:59 System Instructions
11:39 The File API
18:20 Tokens in Gemini API
24:26 Prompting with Audio Files
-------------------------------------------------------------------------------------------------------------
⚙️ Github Project for you to follow along in this tutorial:
1.*Github Repository:*
🔗 tinyurl.com/2u...
⚙️ Related RUclips Tutorials:
1. Google Gemini's Family Playlist - See How!
🔗 tinyurl.com/55...
-------------------------------------------------------------------------------------------------------------
⚡️ Social Media:
🔗 Twitter: x.com/atef_ataya
🔗 Github: github.com/ate...
🔗 Medium: / atef.ataya
⚙️ Links:
🔗 AI Google DEV: ai.google.dev/
🔗 Google AI Studio: aistudio.googl...
-------------------------------------------------------------------------------------------------------------
#gemini #googleai #llm #deeplearning #machinelearning #artificialintelligence #ai #nlp #openaiapi #openai #python #promptengineering #prompting #aitools #generativeai #naturallanguageprocessing

[@atefataya]

🤔 Got questions about tokens, prompts, or the File API? Drop them below, and let's help each other out!

[@ahassan7270]

This video was incredibly informative! Thank you so much for your effort in sharing this video.

[@atefataya]

Glad it was helpful! Thanks for your comment

[@user-sr1co6ym9t]

مشاء الله عليكي كلامك مريح جدا ربنا يحسن ما بين اديكي ويجزيكي خير يارب❤

[@atefataya]

Thanks a lot for your comment, appreciated

[@NDIDIAHIAKWO]

Thank you so much for your insightful tutorial, but I have a question concerning transcribing very large video files e.g 4 - 6Gb, since such files are too big to upload into the Jupiter note book or google Collaboratory. So, how can one hand such task?

[@atefataya]

Thanks for your comment. You are right due to memory constraints it is difficult to work with large file in Jupyter notebook. But you can either split the video into smaller chunks using editing software or you can upload to Google drive, dropbox. Then in you can use libraries like "drive" (for google dirve) to access and process the video directrly from the drive. With this approach you don't need to upload the entire video to Jupyter notebook.

[@ahassan7270]

This video was incredibly informative! Thank you so much for your effort in sharing this video.

[@atefataya]

Glad it was helpful! Thanks for your comment