Building AI Apps with the Gemini API

Name: Building AI Apps with the Gemini API
Price: 9 USD
Availability: InStock

3h 43m 41s

English

Paid

July 9, 2024

Learn to use Google's Gemini API for building AI-powered applications. Plus you'll put your skills into action by building three projects using the Gemini API.

Take your first step into the world of AI application development by diving deep into a fundamental technology: Google's Gemini API. You'll learn everything there is about utilizing the API to power your AI applications with Google's leading Large Language Models.

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#	Title	Duration
1	Introduction	03:26
2	What We're Using	00:36
3	Jupyter Notebook	14:11
4	Google Colab	08:08
5	Getting a Gemini API Key	04:21
6	Installing the Python SDK for Gemini API and Authenticating to Gemini	09:52
7	Gemini Multimodal Models: Nano, Pro, and Ultra	05:15
8	Google AI Studio: Freeform Prompts With Gemini Pro Vision	06:12
9	Google AI Studio: Using Variables and Parameters in the Prompt	03:05
10	Generating Text From Text Inputs: Gemini Pro	04:23
11	Streaming Model Responses	03:36
12	Generating Text From Image and Text Inputs: Gemini Pro Vision	05:13
13	Gemini API Generation Parameters: Controlling How the Model Generates Responses	06:12
14	Gemini API Generation Parameters Explained	10:14
15	Building Chat Conversations	07:54
16	Project: Building a Conversational Agent Using Gemini Pro	07:19
17	Introduction to Gemini 1.5 Pro	04:11
18	System Instructions	05:43
19	The File API Prompting with Media Files	06:09
20	Tokens	06:42
21	Prompting with Audio	04:21
22	Project Requirements	05:54
23	Building the Application	05:23
24	Testing the Application	01:49
25	Streamlit: Transform Your Jupyter Notebooks into Interactive Web Apps	02:49
26	Creating the Web App Layout With Streamlit	11:20
27	Saving and Displaying the History Using the Streamlit Session State	05:20
28	Project Introduction	00:57
29	Getting Images Using a Generator	06:18
30	Renaming Images Using Gemini Pro Vision	09:35
31	Intro to Prompt Engineering the Gemini API	03:13
32	Tactic #1 - Position Instructions Clearly With Delimiters	05:02
33	Tactic #2 - Provide Detailed Instructions for the Context, Outcome, or Length	06:11
34	Tactic #3 - Specify the Response Format	06:14
35	Tactic #4 - Few-Shot Prompting	06:56
36	Tactic #5 - Specify the Steps Required to Complete a Task	06:29
37	Tactic #6 - Give Models Time to "Think"	04:34
38	Other Tactics for Better Prompting and Avoiding Hallucinations	06:21
39	Prompt Engineering Summary	02:13