Tag: human
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How Human Work Will Remain Valuable in an AI World
How Human Work Will Remain Valuable in an AI World The Road to Reality — Episode 1 The post How Human Work Will Remain Valuable in an AI World appeared first on Towards Data Science. Favio Vázquez Go to original source
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Why Human-Centered Data Analytics Matters More Than Ever
Why Human-Centered Data Analytics Matters More Than Ever From optimizing metrics to designing meaning: putting people back into data-driven decisions The post Why Human-Centered Data Analytics Matters More Than Ever appeared first on Towards Data Science. Rashi Desai Go to original source
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Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback arXiv:2512.03208v1 Announce Type: new Abstract: We study estimation and statistical inference for reward models used in aligning large language models (LLMs). A key component of LLM alignment is reinforcement learning from human feedback (RLHF), where humans compare pairs of model-generated answers and their…
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Human Won’t Replace Python
Human Won’t Replace Python Why vibe-coding is not a step up from “classic” coding — and why it matters The post Human Won’t Replace Python appeared first on Towards Data Science. Elisha Rosensweig Go to original source
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Reinforcement Learning from Human Feedback, Explained Simply
Reinforcement Learning from Human Feedback, Explained Simply The one technique that made ChatGPT so smart The post Reinforcement Learning from Human Feedback, Explained Simply appeared first on Towards Data Science. Vyacheslav Efimov Go to original source
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Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack
Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack Have you ever wanted to pause an automated workflow to wait for a human decision? Maybe you need approval before provisioning cloud resources, promoting a machine learning model to production, or charging a customer’s credit card. In many data science and machine learning…
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We Need a Fourth Law of Robotics in the Age of AI
We Need a Fourth Law of Robotics in the Age of AI Artificial Intelligence has become a mainstay of our daily lives, revolutionizing industries, accelerating scientific discoveries, and reshaping how we communicate. Yet, alongside its undeniable benefits, AI has also ignited a range of ethical and social dilemmas that our existing regulatory frameworks have struggled…
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Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning arXiv:2504.03784v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) has emerged as a key technique for aligning the output of large language models (LLMs) with human preferences. To learn the reward function, most existing RLHF algorithms use the Bradley-Terry model, which relies…
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Mastering Model Uncertainty: Thresholding Techniques in Deep Learning
Mastering Model Uncertainty: Thresholding Techniques in Deep Learning Image generated by Dall-e A few words on thresholding, the softmax activation function, introducing an extra label, and considerations regarding output activation functions. In many real-world applications, machine learning models are not designed to make decisions in an all-or-nothing manner. Instead, there are situations where it is more…
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Scientists Go Serious About Large Language Models Mirroring Human Thinking
Scientists Go Serious About Large Language Models Mirroring Human Thinking A discussion of the latest research suggesting that LLMs do work like the human brain—with some substantial differences Continue reading on Towards Data Science » LucianoSphere (Luciano Abriata, PhD) Go to original source