Artificial Intelligence #187

Hey, in this issue: anti-hype LLM reading list; a simple algorithm for aligning LLMs with human preferences; Code Llama, a state-of-the-art large language model for coding; why humans can't use natural language processing to speak with animals; understanding automatic differentiation in 30 lines of Python; and more.

The sponsors of this issue are Enprompt360 and Mission.

• Anti-hype LLM reading list
• AI forecasting: two years in
• [DeepMind] ReST: a simple algorithm for aligning LLMs with human preferences
• [Meta] Introducing Code Llama, a state-of-the-art large language model for coding
• [Sponsored] ChatGPT Prompts Generator - AI that writes Prompts

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• AI in cloud computing: a game-changer
• Why humans can't use natural language processing to speak with animals
• [Sponsored] [Ebook] Designing Large Language Model Applications | Learn the tools and playbooks for building valuable products
• [Explained] Understanding automatic differentiation in 30 lines of Python
• [Anaconda] Announcing Python in Excel: next-level data analysis for all

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