Artificial Intelligence #229

Hey, in this issue: why mediocre ML is so dangerous to the business; is this the ChatGPT moment for recommendation systems?; understanding the cost of generative AI models in production; AI can pick stocks better than you can; sources of uncertainty in machine learning; a Python toolkit for efficient RAG research; and more.

The sponsors of this issue are Fiddler and AtScale.

• Why mediocre ML is so dangerous to the business
• Is this the ChatGPT moment for recommendation systems?
• Understanding the cost of generative AI models in production
• [Sponsored] Take the Fiddler AI Observability Platform for a Spin

See Fiddler in action and learn how to monitor and alert on LLM metrics like faithfulness and toxicity, visualize high-density clusters of prompts and responses in a 3D UMAP visualization, perform root cause analysis to identify the underlying issues to improve a RAG-based LLM application.

• [FT] AI can pick stocks better than you can
• Sources of uncertainty in machine learning - a statisticians' view
• [Google] recurrentgemma-9b-it: faster and utilizing less memory compared to a transformer
• [Sponsored] Discover The Future of GenAI for Enterprise Analytics
• [Tool] YaFSDP: yet another fully sharded data parallel
• [Tool] FlashRAG: a Python toolkit for efficient RAG research

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