Artificial Intelligence #170

Hey, in this issue: synthetic data could be better than real data; understanding large language models; is your code generated by ChatGPT really correct?; why do tree-based models still outperform deep learning on typical tabular data?; researchers see through a mouse's eyes by decoding brain signals; and more.

This issue is sponsored by?Encord.

• [Nature]?Synthetic data could be better than real data
• Understanding large language models
• [ArXiv]?Is your code generated by ChatGPT really correct?
• [Model] OpenLLaMA:?an open reproduction of LLaMA
• [Sponsored]?The active learning platform to turn visual data into production-ready AI

Create and manage training data for any visual modality. Debug models and increase performance. Fine-tune foundation models to get?more accurate training data faster.

• [Model] Nvidia releases?open source GPT-2B trained on 1.1T tokens
• Researchers?see through a mouse's eyes by decoding brain signals
• IBM to freeze hiring as?CEO expects AI to replace 7,800 jobs
• Why do tree-based models still outperform deep learning?on typical tabular data?

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