I finally use the Gemini api!
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I Finally Use the Gemini API!
If you're eager to learn how to use Gemini's API to build your own AI applications, this article is for you. We're going to develop an AI chatbot that supports multi-turn conversational chat, all thanks to Google's advanced large language model. With this functionality, you can build on previous questions by feeding in the entire conversation history for context. Pretty intriguing, right?
But what exactly is Gemini? In simple terms, Gemini is a series of multimodal generative AI models developed by Google. These models can accept both text and image prompts, depending on the chosen model variation. This means we can input text queries like "What day of the week is it?", and receive a response such as "Wednesday". Even more impressively, we can feed images as prompts too. For instance, you can upload a picture of a cat wearing a hat, ask what is in the photo, and get a descriptive text response.
Without further ado, let’s proceed to build a straightforward multi-turn conversational chatbot.
Keywords
- Gemini API
- AI applications
- Chatbot
- Multimodal generative AI models
- Text and image prompts
- Large language model
FAQ
Q: What is Gemini? A: Gemini is a series of multimodal generative AI models developed by Google that accepts both text and image prompts.
Q: Can Gemini handle multi-turn conversations? A: Yes, it can handle multi-turn conversations by feeding in the whole history of the conversation for context.
Q: What types of prompts can Gemini accept? A: Gemini can accept both text prompts and image prompts, depending on the chosen model variation.
Q: Give an example of a text prompt you can use with Gemini. A: "What day of the week is it?" would return a response like "Wednesday".
Q: Can Gemini analyze images? A: Yes, you can feed an image, such as a photo of a cat in a hat, and Gemini will provide a descriptive text response about the image.