GenAI and Model Selection

Instructor: antik patel

Skills you'll gain

  •   AI Personalization
  •   Large Language Modeling
  •   Machine Learning
  •   Computational Thinking
  •   Natural Language Processing
  •   Applied Machine Learning
  •   Generative AI
  •   Systems Integration
  •   Statistical Modeling
  • There are 4 modules in this course

    This short course empowers professionals to enhance their strategies using GenAI technologies. By completing this course, you'll be able to explain various GenAI models and their applications, evaluate these models, and integrate them into your operational systems effectively. By the end of this course, you will be able to: 1. Distinguish between GenAI models and their applications. 2. Use evaluation criteria to select suitable GenAI models for specific uses cases. 3. Make informed decisions about integrating Generative AI models into their operational systems. There are many different GenAi models available and it can be challenging to find the one that meets your needs. This course is unique because you will be empowered to evaluate models based on your particular needs and criteria to make an effective decision. To be successful in this course, you should have experience with AI technologies, such as machine learning or neural networks, and a foundational understanding of integrating these technologies into business or technical operations. Familiarity with model evaluation, data handling, and computational resource management is also recommended.

    Lesson 1: The Dynamic Applications of Generative AI Models

    Lesson 2: Essential Success Criteria for GenAI Model Selection

    Lesson 3: Strategic Model Selection

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