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📩 In this session, Robert Dzisevič explores the emerging field of natural language programming, powered by generative AI. He discusses how large language models, such as GPT, can assist developers by translating everyday language into executable code, helping programmers increase efficiency and focus on logic rather than syntax.
🔍 In This Video, You’ll Learn About: ✅ Introduction to natural language programming
✅ The rise of large language models for code generation
✅ AER: An open-source AI programming assistant
✅ How AI tools understand and edit code
✅ The future of AI in programming and its limitations
✅ The potential of multimodal AI systems (text, speech, and images)
00:00 🚀 Introduction: What is Natural Language Programming?
03:00 Understanding Large Language Models (LLMs)
06:45 ChatGPT and Its Ability to Write Code
09:20 The Rise of Code Assistance Tools
11:10 AER: An Open-Source AI Programming Assistant
13:30 How AER Creates and Edits Code
16:15 Handling Errors and Bugs with AER
18:05 Using AER for Documentation and Multimodal Capabilities
20:40 How Speech-to-Text Enhances AER’s Usability
21:25 The Limitations of AI Assistance in Coding
23:10 Closing Thoughts: Is Generative AI Ready for Coding Tasks?
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