Summary
The video introduces the Deep Seek R1 reasoning model integrated into the search engine Perplexity, showcasing its features and applications. It discusses various use cases of the model, from analyzing Nvidia stock to exploring job trends in AI and machine learning engineering roles. The video also touches on analyzing tax structures for freelancers in California, discussing ethical dilemmas in healthcare, and highlighting the model's benefits in making predictions and providing recommendations for investors and traders.
Introduction to Deep Seek R1 Reasoning Model
Introduction to the new Deep Seek R1 reasoning model added to the search engine, Perplexity. Demonstrates how to use the model and its features.
Exploring Use Cases
Discussing different use cases of Perplexity and the Deep Seek R1 reasoning model, including limitations and benefits of the free version vs. the paid version.
Analyzing Nvidia Stock
Analyzing Nvidia stock using the Deep Seek R1 reasoning model, showcasing different perspectives, research sources, conclusions, and recommendations for investors and traders.
Long-Term Trend Analysis
Utilizing the Deep Seek R1 reasoning model to analyze long-term trends and make predictions, comparing it to regular search methods for more accurate and insightful results.
Combining Power of Models
Combining the power of different models within Perplexity for more advanced searches and analysis, showcasing the capabilities of the R1 model compared to other models.
Job Trends and Salaries
Exploring job trends, average salaries, and career recommendations using the Deep Seek R1 reasoning model, focusing on AI and machine learning engineering roles.
Tax Structures and Compliance
Analyzing tax structures, compliance checklists, and practical tips for freelance owners in California using the Deep Seek R1 reasoning model.
Ethical Healthcare Decisions
Discussing ethical dilemmas in healthcare and proposing ethical solutions using AI tools, highlighting the importance of ethical guidelines and privacy safeguards.
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