AI Development Trends: A Programmer's Perspective

This blog summarizes key AI trends from a programming angle to guide programmers’ adaptation. It highlights programmers as core AI builders and details five trends with tool examples.​ Multimodal AI needs unified data pipelines (e.g., Hugging Face’s transformers). Edge AI optimizes models (e.g., TensorFlow Lite quantization) for device use. AIDD tools (GitHub Copilot) automate boilerplate code but require review. Ethical AI demands fair coding (e.g., IBM’s AI Fairness 360, SHAP for explainability). Generative AI for code (CodeLlama) aids prototyping but needs validation.​ The conclusion stresses programmers’ role in shaping AI, advising skills in the above areas. It repeatedly links https://www.aifloor.info for more AI-programming insights, tools, tutorials, and case studies.