{"id":22767218,"url":"https://github.com/htanh2003/genai-5day-google","last_synced_at":"2025-04-28T15:19:47.047Z","repository":{"id":263105883,"uuid":"888018894","full_name":"HTAnh2003/GenAI-5day-Google","owner":"HTAnh2003","description":"Repository for the 5-Day Generative AI Intensive Course with Google, covering foundational models, embeddings, generative agents, domain-specific LLMs, and MLOps for Gen AI","archived":false,"fork":false,"pushed_at":"2025-04-21T09:38:56.000Z","size":19421,"stargazers_count":2,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-28T15:19:41.925Z","etag":null,"topics":["ai-agents","generative-ai","google","large-language-models","mlops"],"latest_commit_sha":null,"homepage":"https://rsvp.withgoogle.com/events/google-generative-ai-intensive/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HTAnh2003.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-11-13T17:11:19.000Z","updated_at":"2025-04-21T09:38:59.000Z","dependencies_parsed_at":"2024-12-24T04:29:05.434Z","dependency_job_id":"efae7e41-fdc7-48a3-8bb4-5f66ea9ead72","html_url":"https://github.com/HTAnh2003/GenAI-5day-Google","commit_stats":null,"previous_names":["htanh2003/genai-5day-google"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HTAnh2003%2FGenAI-5day-Google","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HTAnh2003%2FGenAI-5day-Google/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HTAnh2003%2FGenAI-5day-Google/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HTAnh2003%2FGenAI-5day-Google/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HTAnh2003","download_url":"https://codeload.github.com/HTAnh2003/GenAI-5day-Google/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251336400,"owners_count":21573189,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-agents","generative-ai","google","large-language-models","mlops"],"created_at":"2024-12-11T13:17:36.790Z","updated_at":"2025-04-28T15:19:47.027Z","avatar_url":"https://github.com/HTAnh2003.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GenAI-5day-Google\n\n![Generative AI Intensive](https://pbs.twimg.com/media/Gbot5feXUAAjOD-?format=jpg\u0026name=4096x4096)\n\n## Introduction\nThis is the repository for the **5-Day Gen AI Intensive Course with Google**\n\n### What is the 5-Day Generative AI Intensive?\nThis is a 5-day online course from November 11 to November 15, designed to help you deeply understand some of the fundamental technologies and techniques behind Generative AI. Created by a team of Google’s ML researchers and engineers, this program includes both in-depth theoretical insights and practical coding examples, enabling you to confidently tackle new Generative AI projects.\n\n## Course Content\n- **Day 1: Foundational Models \u0026 Prompt Engineering**\n  - Explore the evolution of large language models (LLMs), from transformers to techniques like fine-tuning and inference acceleration. Learn the art of prompt engineering to optimize interactions with LLMs.\n\n- **Day 2: Embeddings and Vector Stores/Databases**\n  - Learn about the theoretical foundations of embeddings and vector databases, including embedding methods, vector search algorithms, real-world applications with LLMs, and their trade-offs.\n\n- **Day 3: Generative AI Agents**\n  - Understand how to build sophisticated AI agents by learning their core components and iterative development processes.\n\n- **Day 4: Domain-Specific LLMs**\n  - Dive into the creation and application of specialized language models like SecLM and Med-PaLM, with insights from the researchers who developed them.\n\n- **Day 5: MLOps for Generative AI**\n  - Discover how to adapt MLOps practices for Generative AI and leverage Vertex AI tools for foundational models and generative AI applications.\n\n## Notes and Resources\n- Lecture notes and relevant materials will be added here daily throughout the course.\n- Example code, experimental results, and personal insights will also be shared in this repository.\n\n## Join Me!\nIf you’re also participating in this course, feel free to join the learning journey by opening issues or contributing via pull requests.\n\n## Contact\nFeel free to reach out if you have any questions!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhtanh2003%2Fgenai-5day-google","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhtanh2003%2Fgenai-5day-google","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhtanh2003%2Fgenai-5day-google/lists"}