GenAI and Model Selection

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

GenAI and Model Selection

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Mastering GenAI and model selection for enhanced projects and organizations

Original Description

Did you know that mastering Generative AI (GenAI) and selecting the right models can significantly enhance your projects and organization? Learn how to leverage advanced AI technologies to make informed decisions and optimize your workflows. 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.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
I’m an ML Engineer. I got tired of "AI Trading Bot" scams, so I coded my own Cash Swing Trading Engine in public. (No advice, just math)
Learn how an ML engineer built a cash swing trading engine using math, without giving advice, to counter AI trading bot scams
Dev.to AI
📰
Day 28 Part 1: No New Features Again — This Time We Make Everything Faster
Learn to optimize performance in a machine learning stack by profiling and addressing bottlenecks in FastAPI, Redis, Postgres, and ML inference
Medium · Machine Learning
📰
Overfitting & Underfitting — When AI Learns Too Much or Too Little
Learn to identify and address overfitting and underfitting in AI models, crucial for improving model performance and generalization.
Medium · AI
📰
Evolving Algorithms: Next-Generation AI in Predictive Analytics
Learn how next-generation AI is transforming predictive analytics with evolving algorithms and why it matters for informed decision-making
Dev.to · Fu'ad Husnan
Up next
1. Overview of Artificial Intelligence | What is AI? Fundamental Concepts & Complete History of AI
Professor Rahul Jain
Watch →