Artificial Intelligence #212

Hey, in this issue: 10 ways to run LLMs locally; AI is rewiring coders’ brains; synthetic data for finetuning; code LoRA from scratch; noisy embeddings improve instruction finetuning; extreme compression of Large Language Models; and more.

The sponsors of this issue are AtScale and True Positive Inc.

• 10 ways to run LLMs locally and which one works best for you
• [Wired] AI is rewiring coders’ brains. Yours may be next
• Synthetic data for finetuning: distillation and self-improvement
• [Sponsored] Agenda Announced for Semantic Layer Summit on April 24th!

Explore the new 2024 main stage agenda for the Semantic Layer Summit, a FREE one-day virtual event on April 24th. Featuring top data leaders and technologists from global enterprises, exploring recent Semantic Layer innovations for Enterprise Analytics, BI and Generative AI. Register today!

• [Project] Code LoRA from scratch
• [Tutorial] Patch Time Series Transformer in Hugging Face - getting started
• [MIT] A new way to let AI chatbots converse all day without crashing
• [Sponsored] The best way of learning machine learning in 2024
• [Tool] NEFTune: noisy embeddings improve instruction finetuning
• [ArXiv] Extreme compression of Large Language Models via additive quantization (code)

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