Comparing AI Research Tools: ChatGPT, Claude, Gemini, and Perplexity
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 41m | 96.4 MB
Instructor: Ronnie Sheer
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 41m | 96.4 MB
Instructor: Ronnie Sheer
Generative AI has brought efficiency to many areas of work, but when it comes to research and data analysis, most users are barely scratching the surface. This practical, hands-on course explores AI tools such as ChatGPT, Claude, Gemini, and Perplexity, providing you with essential tools and knowledge to super-charge research and data analysis work.
Instructor Ronnie Sheer delves into real-world business scenarios, exploring how LLM-powered search, data analysis, and data visualization can enhance efficiency and productivity. Ronnie also examines strategies for teams and organizations to harness the potential of GenAI in larger research endeavors, enabling organizations to streamline processes and make data-driven decisions more effectively.
Learning objectives
- Analyze the differences between tools like ChatGPT, Claude, and Gemini and determine the ideal tool for specific tasks.
- Set up and configure ChatGPT for data analysis within Microsoft Teams.
- Create custom GPTs to streamline your organization's workflows.
- Explore ethical considerations related to the use of AI tools.
- Identify potential content ownership and copyright concerns related to the use of generative AI tools.
- Utilize Claude Artifacts to generate data visualizations.