English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 18m | 192 MB
Artificial intelligence is growing rapidly, affecting nearly every industry, and it’s not going anywhere. If you’re feeling overwhelmed by the onslaught of AI tools or just feeling out of the loop with the speedy changes in the AI landscape, check out this course with instructor Wuraola Oyewusi. Wuraola explores a wide range of generative AI tools from text to image, language generation with chatbots (Google Gemini, Microsoft Copilot), research (Elicit AI, Litmaps, SciSpace). She shows you how to write, visualize, extract, parse, search, and distill scientific and academic research content. Learn about getting set up, prompting, finding the right tool, and more, and discover how you can use generative AI tools to improve research productivity.
Table of Contents
Introduction
1 GenAI and productive research
Basics of Generative AI
2 What is generative AI (GenAI)
3 Evolution of generative AI
4 Generative AI vs. large language models
5 Generative AI tools
6 Prompt engineering for generative AI tools
7 Considerations in using generative AI tools
Generative AI Tools for Productivity
8 Working with Google Gemini
9 Writing with Google Gemini
10 Data exploration with Google Gemini
11 Image description with Google Gemini
12 Extract text from an image with Google Gemini
13 Working with Microsoft Copilot in Edge
14 Image generation with Microsoft Copilot Designer
15 Design creation with Microsoft Copilot Designer
16 Create a simple brand kit with Microsoft Copilot Designer
Generative AI Tools for Academic Research
17 Setting up Elicit AI for scientific literature searches
18 Literature search in Elicit AI
19 Working with Litmaps for academic literature discovery
20 Generate a seed map for research articles with Litmaps
21 Discover related research papers with Litmaps
22 Working with SciSpace for scientific literature
23 SciSpace for literature review
24 Parse a PDF document using SciSpace Copilot
25 Citation generation using SciSpace
26 Scholarly paraphrasing with SciSpace
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