摘要： Last year, San Francisco-based research lab OpenAI released Codex, an AI model for translating natural language commands into app code. The model, which powers GitHub’s Copilot feature, was heralded at the time as one of the most powerful examples of machine programming, the category of tools that automates the development and maintenance of software. Not to be outdone, DeepMind — the AI lab backed by Google parent company Alphabet — claims to have improved upon Codex in key areas with AlphaCode, a system that can write “competition-level” code.
Machine learning is an exciting area of research and development. ML tools are important in many industries and science fields. ML research is also very tricky and has several challenges. If not addressed suitably, these challenges can lead the project in the wrong direction.