Vertex AI Tutorial #2: Conversation Memory & Generative Config

Mohamed Naji Aboo ยท Beginner ยท๐Ÿ”ข Mathematical Foundations ยท6mo ago

About this lesson

๐Ÿš€ Welcome to Tutorial #2 on Google Cloud Vertex AI! In this video, I'll show you how to configure Generative AI models and implement conversation memory using Python. ๐ŸŽฏ What You'll Learn: โœ… Understanding GenerationConfig parameters โ€ข Temperature: Control creativity (0.9) โ€ข Top-K: Limit word choices (20) โ€ข Top-P: Probability distribution (0.9) โ€ข Max Output Tokens: Response length (20) โœ… Implementing Chat Memory โ€ข Why simple generate_content() doesn't remember โ€ข Using start_chat() for conversation context โ€ข Real examples of stateful vs stateless interactions ๐Ÿ’ป Code Covered: - Setting up GenerationConfig in Vertex AI - Generate content with custom parameters - Start chat sessions with memory - Compare: generate_content() vs start_chat() ๐Ÿ”— Useful Links: - Vertex AI Documentation: https://cloud.google.com/vertex-ai/docs - Python Client Library: https://cloud.google.com/python/docs/reference/aiplatform/latest - Tutorial Code: [Add your GitHub link] โฑ๏ธ Timestamps: 0:00 - Introduction 0:30 - What is GenerationConfig? 2:00 - Temperature, Top-K, Top-P explained 4:00 - Max Output Tokens 5:00 - Problem: No conversation memory 6:30 - Solution: start_chat() method 8:00 - Demo: Chat with memory 9:30 - Wrap up ๐Ÿ‘จโ€๐Ÿ’ป About Me: I'm Mohamed Naji Aboo, and I create tutorials on AI, Machine Learning, and Cloud technologies. Subscribe for more Vertex AI content! ๐Ÿ”” Subscribe for more GCP & AI tutorials! ๐Ÿ‘ Like if you found this helpful! ๐Ÿ’ฌ Comment your questions below! #VertexAI #GoogleCloud #GenerativeAI #Python #MachineLearning #AI #GCP #VertexAI #GoogleCloud #GenerativeAI #GCP #Python #AI #MachineLearning #CloudComputing #ArtificialIntelligence #VertexAITutorial

Original Description

๐Ÿš€ Welcome to Tutorial #2 on Google Cloud Vertex AI! In this video, I'll show you how to configure Generative AI models and implement conversation memory using Python. ๐ŸŽฏ What You'll Learn: โœ… Understanding GenerationConfig parameters โ€ข Temperature: Control creativity (0.9) โ€ข Top-K: Limit word choices (20) โ€ข Top-P: Probability distribution (0.9) โ€ข Max Output Tokens: Response length (20) โœ… Implementing Chat Memory โ€ข Why simple generate_content() doesn't remember โ€ข Using start_chat() for conversation context โ€ข Real examples of stateful vs stateless interactions ๐Ÿ’ป Code Covered: - Setting up GenerationConfig in Vertex AI - Generate content with custom parameters - Start chat sessions with memory - Compare: generate_content() vs start_chat() ๐Ÿ”— Useful Links: - Vertex AI Documentation: https://cloud.google.com/vertex-ai/docs - Python Client Library: https://cloud.google.com/python/docs/reference/aiplatform/latest - Tutorial Code: [Add your GitHub link] โฑ๏ธ Timestamps: 0:00 - Introduction 0:30 - What is GenerationConfig? 2:00 - Temperature, Top-K, Top-P explained 4:00 - Max Output Tokens 5:00 - Problem: No conversation memory 6:30 - Solution: start_chat() method 8:00 - Demo: Chat with memory 9:30 - Wrap up ๐Ÿ‘จโ€๐Ÿ’ป About Me: I'm Mohamed Naji Aboo, and I create tutorials on AI, Machine Learning, and Cloud technologies. Subscribe for more Vertex AI content! ๐Ÿ”” Subscribe for more GCP & AI tutorials! ๐Ÿ‘ Like if you found this helpful! ๐Ÿ’ฌ Comment your questions below! #VertexAI #GoogleCloud #GenerativeAI #Python #MachineLearning #AI #GCP #VertexAI #GoogleCloud #GenerativeAI #GCP #Python #AI #MachineLearning #CloudComputing #ArtificialIntelligence #VertexAITutorial
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Chapters (8)

Introduction
0:30 What is GenerationConfig?
2:00 Temperature, Top-K, Top-P explained
4:00 Max Output Tokens
5:00 Problem: No conversation memory
6:30 Solution: start_chat() method
8:00 Demo: Chat with memory
9:30 Wrap up
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