Empowering the Next Generation of Leaders
Disclaimer: This repository contains a collection of educational resources. The whitepapers contained herein are the property of the respective owners and are provided for educational and reference purposes only.
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These documents can be used to supplement the Grow with Google courses.
Grow with Google
An interactive worksheet helping business owners and students delegate tedious tasks and write effective prompts for generative AI tools.
A quick-start handbook offering practical examples for writing effective prompts in Gmail, Docs, Drive, Sheets, and Slides.
Explores transformer architectures, self-attention mechanisms, and the core fundamentals behind modern text-generation models.
In-depth technical breakdown covering zero-shot, few-shot, Chain of Thought (CoT), step-back prompting, and output configuration parameters like temperature and Top-P.
Technical guide detailing how text, image, and structured data are embedded into vector stores for search and retrieval applications.
Examines evaluation principles, point-wise vs. pair-wise metrics, human evaluation, and autorater systems presented at NeurIPS.
Introduction to Agents and Agent Architectures
Description: Covers the transition from predictive AI to autonomous agents, outlining a taxonomy of agentic problem-solving from core reasoning to self-evolving systems.
A Practical Guide to Building Agents
Open AI
Focuses on product design patterns, orchestration logic, and essential guardrails for engineering multi-step AI agents.
Provides a frameworkoutling how Generative AI transitions from static language models to autonomous, production-ready AI agents.
Agent Quality
Addresses testing, evaluation frameworks, and quality assurance strategies specifically designed for non-deterministic agentic systems.
Agent Tools & Interoperability with Model Context Protocol (MCP)
Description: Details best practices for tool design, tool calling, granular API exposure, and using the Model Context Protocol (MCP).
Description: Deep dive into session state management, short-term and long-term memory patterns, and context optimizations for long conversations.
Google’s architectural whitepaper and reference framework that details best practices for orchestrating, evaluating, and operating advanced generative AI agents in production environments
Guidance on transitioning AI agents from early prototypes to scalable, secure production systems with CI/CD and operational monitoring.
How Generative AI transitions from static language models to goal-driven autonomous systems.
Identifying and Scaling AI Use Cases
Open AI
Helps teams identify high-impact AI opportunities, map department workflows, and prioritize organizational AI efforts.
Google Workspace: A powerful and easy way of working with Generative AI
Overview of how embedded AI features in Google Workspace improve productivity, team collaboration, and security.
Google Workspace: AI-Powered Collaboration for Organizations of All Sizes
Overview of how embedded AI features in Google Workspace improve productivity, team collaboration, and security.
Solving Domain-Specific Problems Using LLMs
Highlights specialized applications of LLMs in technical domains, such as cybersecurity (SecLM) and healthcare/medicine (MedLM)
Operationalizing Generative AI on Vertex AI using MLOps
Technical blueprint detailing MLOps lifecycles, model tuning, prompt management, and deployment on Google Cloud's Vertex AI.
The Art of the Prompt: Gemini Prompt Guide for Creatives and Strategists
A practical prompt guide showing creative and strategy teams how to use Gemini for insights, brainstorming, and campaign ideation.
Comprehensive guide showcasing real-world workflows and productivity improvements enabled by Gemini across enterprise teams.
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