Prompting for Code Generation - Leveraging LLMs for Efficient Programming
Jeff Heaton via YouTube
Overview
Explore the powerful capabilities of Large Language Models (LLMs) for code generation in this informative video. Learn how to integrate OpenAI's LLMs, such as GPT-4, into your coding workflow, focusing on their application in course assignments. Discover how to set up and use OpenAI's API for generating Python code, with practical examples including a Fibonacci sequence generator and a loan amortization calculator. Gain insights into other LLM-based tools like GitHub Copilot and Amazon CodeWhisperer, and understand their potential in enhancing coding productivity. Through a hands-on approach, learn to generate complex programs, such as a PyTorch-based neural network for image-based age prediction, showcasing the versatility of AI in coding. Whether you're new to AI-assisted coding or looking to deepen your skills, this comprehensive guide provides valuable knowledge on harnessing LLMs for efficient code generation, aligning with modern programming practices and problem-solving techniques.
Syllabus
Prompting for Code Generation (2.1)
Taught by
Jeff Heaton