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ARTICLES & TUTORIALS

TLDR Web Dev

WHY DID META OPEN-SOURCE LLAMA 2?

This article presents an in-depth analysis on why Meta made Llama 2's weights commercially available. Llama 2's license provides hints to Meta's goals: it prevents Llama materials from being used to improve other models and forces big tech competitors with more than 700 million monthly active users to request a license from Meta. This suggests Llama 2 was open-sourced to reduce competitor moats, retain AI talent, attract more users and developers, and act as a marketing tool.

TEACHING PROGRAMMING IN THE AGE OF CHATGPT

This article presents the first empirical study that gathers instructor perspectives about the AI coding tools that more and more students will likely have access to in the future. In the short-term, professors are worried about cheating, leading to weighing exam scores more, banning the use of AI tools, and more. In the longer-term, some instructors want to resist the use of AI coding tools in the future by creating AI-proof assignments or paper/oral/video/image-based exams. Another set of instructors want to integrate AI tools into their classes instead, using AI to give personalized help to students and having students work collaboratively with AI on open-ended assignments.

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