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Generative AI with Google – Bard, PaLM API and Google Cloud

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Start your Generative AI journey today with Google Bard, PaLM API & Google Cloud Generative AI Studio


1 - Introduction
  • 1 - Generative AI with Google Course Introduction
  • 2 - DO NOT SKIP Course Downloads.html

  • 2 - Getting Started with Google Bard
  • 3 - Step 01 What is Artificial Intelligence
  • 4 - Step 02 Playing with Bard Getting Started
  • 5 - Step 03 Playing with Bard Coding Learning and Design
  • 6 - Step 04 Playing with Bard Exploring Technology
  • 7 - Step 05 Playing with Bard Generating Ideas
  • 8 - Step 06 Generative AI is NOT Deterministic

  • 3 - Getting Started AI vs ML vs Generative AI
  • 9 - Step 01 Getting Started AI vs ML vs Generative AI
  • 10 - Step 02 Understanding Machine Learning vs Traditional Programming
  • 11 - Step 03 Understanding Machine Learning Fundamentals Features and Labels
  • 12 - Step 04 Understanding Machine Learning Fundamentals Steps and Terminology
  • 13 - Step 05 The AI Turmoil My View Point

  • 4 - Exploring Generative AI Fundamentals
  • 14 - Step 01 What is Generative AI
  • 15 - Step 02 Generative AI Needs Huge Volumes of Data
  • 16 - Step 03 Generative AI Uses Self Supervised Learning
  • 17 - Step 04 Key Step In Generative AI For Text Predicting Next Word
  • 18 - Step 05 Generative AI Text Uses Tokens instead of Words
  • 19 - Step 06 Exploring Predictive Machine Learning vs Generative AI

  • 5 - ML in Google Cloud An Overview
  • 20 - Step 01 ML in Google Cloud Traditional Landscape
  • 21 - Step 02 ML in Google Cloud 1 Using Machine Learning API
  • 22 - Step 03 ML in Google Cloud 2 Custom Models without ML expertise
  • 23 - Step 04 ML in Google Cloud 3 Build Complex Custom Models
  • 24 - Step 05 Creating GCP Google Cloud Platform Account
  • 25 - Downloads We will use the cloud images in Next Step.html
  • 26 - Step 06 ML in Google Cloud Quick Demo

  • 6 - Generative AI with Google and Google Cloud Quick Overview
  • 27 - Step 01 Generative AI with Google and Google Cloud Quick Overview
  • 28 - Step 02 Exploring Generative AI Foundation Models
  • 29 - Downloads We will use generate ai studio gen ai prompts file in next step.html
  • 30 - Step 03 Exploring Text Features Summarization
  • 31 - Step 04 Exploring Text Features Classification
  • 32 - Step 05 Exploring Text Features Extraction
  • 33 - Step 06 Exploring Text Features Ideation

  • 7 - Getting Started with Prompt Design
  • 34 - Step 01 Getting Started with Prompt Design
  • 35 - Step 02 Giving Examples ZERO SHOT vs ONE SHOT vs MANY SHOT
  • 36 - Step 03 Exploring Prompt Frameworks RTF CTF and RASCEF
  • 37 - Step 04 Experiment with Parameters

  • 8 - Exploring Vertex AI PaLM API and Generative AI Studio Further
  • 38 - Step 00 Executing Vertex AI PaLM API from Vertex AI Workbench
  • 39 - Step 01 Exploring Vertex AI PaLM API Text Model API
  • 40 - Step 02 Exploring Chat Model
  • 41 - Step 03 Exploring Code Models
  • 42 - Step 04 Exploring Image Models
  • 43 - Step 05 Exploring Speech Models
  • 44 - Step 06 Cloud Best Practice Stop Unused Resources User Managed Notebook

  • 9 - Exploring Generative AI Further
  • 45 - Step 01 Tuning Language Models
  • 46 - Step 02 What are Embeddings
  • 47 - Downloads We will use generative ai studio notebooks in the next step.html
  • 48 - Step 03 Exploring Embeddings with an Example
  • 49 - Step 04 Getting Started with LangChain
  • 50 - Step 05 Understanding LangChain Fundamentals
  • 51 - Step 06 Exploring LangChain Answering Questions from a Long Article
  • 52 - Step 07 Exploring LangChain Summarization
  • 53 - Step 08 Executing Vertex AI PaLM API From Colab

  • 10 - Exploring Other Google Generative AI Offerings
  • 54 - Step 00 Generative AI App Builder is NOT GA yet
  • 55 - Step 01 Getting Started Generative AI App Builder
  • 56 - Step 02 00 MakerSuite and PaLM API are NOT GA yet
  • 57 - Step 02 01 Getting Started PaLM API and MakerSuite
  • 58 - Step 03 Cloud Best Practice Delete Unused Resources User Managed Notebook

  • 11 - Google AI Principles and Responsible AI practices
  • 59 - Google AI Principles and Responsible AI practices

  • 12 - Generative AI with Google Congratulations
  • 60 - Generative AI with Google Congratulations
  • 61 - Bonus Lecture.html
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    تاریخ انتشار: ۱۵ مهر ۱۴۰۲
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