Course Description
This course will guide you through the process of selecting the most suitable Large Language Model (LLM) for various business needs. By examining factors such as accuracy, cost, scalability, and integration, you will understand how different LLMs perform in specific scenarios, from customer support to healthcare and strategy development. The course emphasizes practical decision-making with real-world case studies, helping businesses navigate the rapidly evolving LLM landscape effectively.
Course curriculum
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1
Introduction
- Introduction
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2
It's an LLM World!
- It's an LLM World!
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3
Understand Your Business
- Understand Your Business
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4
Framework to Choose the Right LLM
- Framework to Choose the Right LLM
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5
Case Studies
- Case Studies
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6
Conclusion
- Conclusion
Who should Enroll?
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Business leaders seeking to implement AI-driven solutions efficiently.
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Data scientists exploring LLMs for industry-specific applications.
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Tech professionals involved in AI integration and decision-making processes.
Key Takeaways
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Understand how to evaluate and select the right LLM for business needs.
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Learn to assess LLMs based on accuracy, cost, scalability, and integration.
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Gain insights into real-world LLM applications through case studies.
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Develop practical decision-making skills for LLM adoption in various industries.
About the Instructor
Rohan Rao - Principal Data Scientist, H2O.ai; Quadruple Kaggle Grandmaster
A Principal Data Scientist at H2O.ai and an IIT-Bombay alumnus, is a highly accomplished professional. He is a quadruple Kaggle Grandmaster and was formerly ranked #1 on AnalyticsVidhya. In addition to his expertise in data science, Rohan is a 9-time National Sudoku Champion. A versatile individual, he is also a passionate coder, reader, writer, and lifelong learner, known in the community as "vopani."
FAQ
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What factors should be considered when choosing an LLM for business?
Key factors include the LLM's accuracy, cost, scalability, technical compatibility, support, security, and compliance with privacy laws. The decision-making framework ensures the chosen LLM aligns with specific business requirements.
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Can any LLM solve all business problems?
No, different LLMs are suited to different tasks. Selecting the right LLM depends on the specific business problem, required capabilities, and available resources.
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How important is the accuracy of an LLM for business use?
Accuracy is crucial, especially in fields like healthcare and education. LLMs must perform reliably across datasets, ensuring consistency and stability in results for critical business applications.
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What are the key decisions for using LLMs in healthcare?
Key decisions include choosing an LLM fine-tuned for medical data, ensuring accuracy, maintaining privacy, and complying with healthcare regulations.
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Are open-source LLMs viable alternatives to closed-source options?
Yes, open-source LLMs, like Llama3, can be viable alternatives, especially when customized to specific business needs. They are catching up with closed-source options in performance.