True Positive Weekly #68
The most important artificial intelligence and machine learning news and articles
Hey, in this issue: the economic potential of generative AI; LLM-powered autonomous agents; Meta's response to Google's MusicLM for text-to-music; we can’t predict how AI will affect the workforce; five methods to detect drift in ML embeddings; gpt-engineer; and more.
[McKinsey] The economic potential of generative AI: the next productivity frontier
[Model] Otter: a multi-modal model with in-context instruction tuning (video)
[Project] simpleaichat: a Python package for easily interfacing with chat apps, with robust features and minimal code complexity
MusicGen: Meta's response to Google's MusicLM for text-to-music
[IEEE] “Model collapse” looms when AI trains on the output of other models
[Tutorial] Five methods to detect drift in ML embeddings
[Project] gpt-engineer: specify what you want it to build, the AI asks for clarification, and then builds it
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