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I’m a machine learning engineer keen on learning and understanding ZKPs all the way up to implementation and testing of such systems. Any recommendations on a guided learning resource? I prefer learning Coursera style with videos, code spaces and quizzes. Thanks!
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The Hundred-Page Language Models Book by Andriy Burkov is out! The book progresses from fundamentals to advanced topics like mixture of experts, model compression, preference-based alignment, and vision language models. You can read the book for free online/buy it later at: https://www.thelmbook.com/
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Stop overpaying for AI responses! Route queries to the right model & cut costs. By analyzing prompt complexity, an LLM router/gateway smartly chooses the most efficient model for each query. Essentially only serving more capable/expensive models when needed. Here are a few open-source tools to get started!
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A white hat planted a hidden prompt attack on GitHub, after a few months an LLM (Qwen) with internet access indexed his page while answering a query and executed the embedded prompt, effectively getting compromised. Stay safe! https://x.com/elder_plinius/status/1884716775754834107
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gm Farcaster community. I'm a self-taught machine learning engineer since early 2021 and have worked in start-ups since. I lead a team and mainly work on Computer Vision, testing, MLOps and Responsible AI. Is there any type of content you'd be interested in from my perspective?
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