Artificial Intelligence #202

Hey, in this issue: AI can do your homework. Now what?; MoE: how an ensemble of AI models decide as one; science is becoming less human; extending the power of prompting; an open LLM Mixtral beats GPT3.5; how to configure VS Code for AI, ML and MLOps development in Python; and more.

The sponsors of this issue are AtScale and GroundX.ai.

• AI can do your homework. Now what?
• Mixture of experts: how an ensemble of AI models decide as one
• Science is becoming less human due to AI
• [Sponsored] How to capitalize on telecom’s most important data value drivers

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• [Microsoft] Steering at the frontier: Extending the power of prompting
• [ArXiv] LLM360: Towards fully transparent open-source LLMs
• Mixtral: an open LLM that matches or outperforms GPT3.5 on most standard benchmarks
• [Sponsored] GroundX: The Fastest Way to Build RAG You Can Trust. The first full stack for building RAG applications. Trial our APIs
• [Ars Technica] As ChatGPT gets “lazy,” people test “winter break hypothesis” as the cause
• How to configure VS Code for AI, ML and MLOps development in Python

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