Get started with the Gemini API Bangkok Cloud • Fon - Kamolphan Liwprasert GDE Cloud, WTM Ambassador

Bangkok Cloud • Get started with the Gemini API

Customer support Website navigation Virtual digital assistants Document/ media search, synthesis Device support Employee assistance Market research Conversational commerce and personalized recommendations Generative AI powers a multitude of use cases

Generative AI is driving new opportunities Operational efficiencies, cost savings, and value creation Improve time-to-value to search, navigate, and extract insights and understanding from large amounts of complex data Complex data, intuitively accessible Improve customer experience, reaching larger client bases by making online interactions more natural, conversational, and rewarding Online interactions made conversational Generate text, code, image, video, or music quickly and multi-modally, speeding up every business processes and maximizing employee productivity Content generation at the click of a button Customize large models and incorporate state of the art generative capabilities natively into your own internal ML operational platforms Customize Foundation models Analyst Customer Service Creative AI Practitioner

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Vertex AI Generative AI with Google I want to use Gen AI w/ Google Gemini (Bard) Foundational Models AI Studio / Gemini API Google Cloud Foundation Models Model Garden Search Conversation as a consumer as a developer for prototyping enterprise level privacy, security, scalability https://gemini.google.com/ https://aistudio.google.com/

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Bangkok Cloud • https://ai.google.dev/gemini-api/docs/get-started/tutorial?lang=python bit.ly/gemini-api-lab

Codelabs Objectives This codelabs will allow us to understand the basics on how to use the Python SDK for the Gemini API. We will explore these tasks: ● Set up your development environment and API access to use Gemini ● Generate text responses from text inputs ● Generate text responses from multimodal inputs (text and images) ● Use Gemini for multi-turn conversations (chat) ● Explore advanced use cases

Bangkok Cloud • aistudio.google.com Save a copy in Drive 💾 RENAME

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

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Bangkok Cloud • aistudio.google.com Project Setup: API Key 🔑 How to get API key (detailed) https://bit.ly/aistudio-api-key aistudio.google.com

Bangkok Cloud • aistudio.google.com Project Setup: API Key 🔑 Paste here

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

Cosine Similarity คือ องศาระ วาง Vector (ในที่นี้คือ embedding) มีคาระ วาง [-1, 1] จากนิยาม เรา ามารถคำนวณ Cosine Similarity ของ 2 vector ไดโดยคำนวณ Dot product (np.dot) เปรียบเทียบ Embedding ด้วย Cosine Similarity ที่มา PyImageSearch และ https://en.wikipedia.org/wiki/Cosine_similarity cosine_similarity = np.dot(v, w) / (np.linalg.norm(v) * np.linalg.norm(w)) ~ 1 ~ -1 ~ 0

Bangkok Cloud • bit.ly/gemini-api-lab Generate text from text inputs 1 Generate text from image & text inputs 2 Chat conversation 3 Tokens & Embeddings 4 Advance Use Case and Settings 5

Safety Rating https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/configure-safety-attributes

Bangkok Cloud • bit.ly/gemini-api-lab bit.ly/gemini-api-lab Error? No worries

Bangkok Cloud • bit.ly/gemini-api-lab bit.ly/gemini-api-lab

Additional Gemini (Python) Resources: ● Gemini API Cookbook - https://bit.ly/gemini-api-cookbook ● Model Tuning - https://bit.ly/tuning-quickstart-python ● Function Calling - https://bit.ly/function-calling-python-quickstart ● Document search - https://bit.ly/doc-search-embeddings ● Prompt Design Strategies - https://bit.ly/prompt-design-strategies

Google Cloud’s Gen AI GitHub github.com/GoogleCloudPlatform/generative-ai Resource

Generative AI Learning Path cloudskillsboost.google/journeys/118 Resource

Thank You! Bangkok Cloud • Fon - Kamolphan Liwprasert WTM Ambassador, GDE Cloud