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Lil'Log
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Lilian Weng
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Apr 17, 2023
Experiment tracking is one of the crucial things for a successful Machine Learning project. Let me explain to you the importance of it and how you can track Machine Learning experiments with just a few lines of code🔥 A Thread🧵👇 twitter.com/Sumanth_
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Sumanth
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Mar 3, 2023
Probability Theory is a fundamental skill for Machine Learning, but most people don't know this: You learned the most powerful technique to solve probability problems when you were 7! You just don't know it. Yet. Here it is:
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Santiago
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Jan 23, 2023
There are 5 critical ethical concerns related to Generative AI and Large Language Models (LLMs) that we need to be aware of and mitigate. 1. Trust and Lack of Interpretability 2. Data Privacy 3. Plagiarism 4. Baked in Bias 5. Environmental Impact a
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Krishna Gade
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Dec 28, 2022
Handling massive data has became a difficult and a key factor in Machine Learning. But Data Orchestration came to the rescue that helps to deal and manage with huge data and these complex Data Pipelines 🚀 A Thread on Data Orchestration 🧵
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Sumanth
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Dec 12, 2022
A lot of time and effort is spent to improve accuracy of Machine Learning models. Despite achieving best performance with evaluation, models do fail in production. 90% of the time, it indicates a problem called Data Leakage. A thread.. Loooong ti
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Faraz Munshi
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Sep 21, 2020
Seeing Like an Algorithm
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Eugene Wei
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Ben's Bites
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Ben Tossell
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Jan 17, 2024
Solving olympiad geometry without human demonstrations
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Google DeepMind
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Jun 14, 2023
Unifying Large Language Models and Knowledge Graphs: A Roadmap
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Shirui Pan
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May 31, 2023
Causal Inference and Discovery in Python
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Aleksander Molak
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May 27, 2023
So I followed @GaryMarcus's suggestion and had my undergrad class use ChatGPT for a critical assignment. I had them all generate an essay using a prompt I gave them, and then their job was to "grade" it--look for hallucinated info and critique its an
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C.W. Howell
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