5-Day Gen AI Intensive
Geminiベースでやるシリーズみたいtakker.icon いいかも
ひととおりやれておもしろかったcak.icon
申込みは必要?takker.icon
kaggle accountとdiscord accountでログインするだけかな kaggleのcode labでいろいろ試せるみたいなのがウリの講座なのでkaggle accountさえあれば申し込み不要のはずcak.icon
なるtakker.icon
とりあえずkaggle accountだけでやってみます
Google loginで作れた
✅ Sign up for an Google AI Studio account and ensure you can generate an API key. ここまでやったtakker.icon
Day 4 (Domain-Specific LLMs)
In today’s reading, you’ll delve into the creation and application of specialized LLMs like SecLM and MedLM/Med-PaLM, with insights from the researchers who built them.
In the code labs you will learn how to add real world data to a model beyond its knowledge cut-off by grounding with Google Search. You will also learn how to fine-tune a custom Gemini model using your own labeled data to solve custom tasks.
1. Complete Unit 4: “Domain-Specific LLMs”, which is:
1. Listen to the summary podcast episode for this unit (created by NotebookLM).
https://youtu.be/b1a4ZOQ8XdI
3. Complete these code labs on Kaggle:
1. Use Google Search data in generation 2. Tune a Gemini model for a custom task 2. Watch the YouTube livestream recording.
https://www.youtube.com/watch?v=odvuLMJWUSU&list=PLqFaTIg4myu-b1PlxitQdY0UYIbys-2es&index=4
Day 5 (MLOps for Generative AI)
Discover how to adapt MLOps practices for Generative AI and leverage Vertex AI's tools for foundation models and generative AI applications.
1. Complete Unit 5: “MLOps for Generative AI”, which is:
1. Listen to the summary podcast episode for this unit (created by NotebookLM).
https://youtu.be/k9S6IhiUUj4
3. No code lab for today!
Please go through the repository in advance.
2. Watch the YouTube livestream recording.
https://www.youtube.com/watch?v=uCFW0i9xrBc&list=PLqFaTIg4myu-b1PlxitQdY0UYIbys-2es&index=5
Bonus Assignment
There's more!
This bonus notebook walks you through a few more things you can do with the Gemini API that weren't covered during the course. This material doesn't pair with the whitepapers or podcast, but covers some extra capabilities you might find useful when building Gemini API powered apps.