Building with the Gemini API and AI Studio
summary
Gemini API and Google AI Studio expose concrete features: stable Flash models (1.5 Flash and Flash 8B) plus experimental Gemini 1114, with Flash 8B reaching 285 tokens per second and a claimed 2 million token context for whole codebases or 400 podcast transcripts. Tools include a sandboxed code executor that ran data‑cleaning examples, structured JSON output and function calling for device or app hooks, context caching to cut input costs, search grounding via Google Search for up‑to‑date citations, and API fine‑tuning.
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chapters (11)
- 0:00Gemini platform overview
- 1:20Model capabilities and analysis
- 2:57Flash model performance
- 5:03Multimodal features
- 7:35Audio capabilities
- 8:01Long context and caching
- 10:08Code execution tool
- 11:42Structured data output
- 12:41Function calling and search
- 13:13Fine-tuning and getting started
- 14:39Conclusion
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