Summary
Google has recently introduced the Gemini AI Studio models, such as the 1.5 Flash and 1.5 Pro, each catering to different context lengths and capabilities for multimodal applications. The video explores three main models - Gemini 1.0 Pro, Gemini 1.5 Pro, and Gemini 1.5 Flash - showcasing their varying token context lengths for precise tasks. Viewers are walked through creating prompts with Gemini 1.5 Pro, covering setting up chat prompts, system instructions, and saving prompts for future use. Additionally, the video delves into structuring prompts in Gemini AI Studio, illustrating how to train models with input and output examples for targeted responses, as well as fine-tuning models with training examples to enhance accuracy and performance. Various use cases are also discussed, highlighting audio capabilities, video summaries, task identification, and customizing models for personalized responses.
Introduction to Google AI Studio Models
Google has released the Gemini AI Studio models, including the 1.5 Flash and 1.5 Pro, offering different context lengths and capabilities for various multimodal use cases.
Comparison of Gemini Models
There are three main models discussed: Gemini 1.0 Pro, Gemini 1.5 Pro, and Gemini 1.5 Flash. Each model offers different token context lengths and capabilities for specific tasks.
Creating a Prompt with Gemini 1.5 Pro
Instructions on creating a prompt using Gemini 1.5 Pro, including setting up a chat prompt, system instructions, and saving prompts for future use.
Creating a Structured Prompt
Explanation of creating a structured prompt in Gemini AI Studio, guiding on input and output examples to train the model for specific responses.
Testing and Fine-Tuning Models
Demonstration of testing prompts, editing responses, and fine-tuning a model using training examples to improve performance and accuracy.
Use Cases of Gemini Models
Exploration of various use cases for Gemini models, including audio capabilities, video summaries, specific task identification, and tuning models for personalized responses.
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