The Guardian view on AI's power, limits, and risks: it may require rethinking the technology
OpenAI's new o1 AI system showcases advanced reasoning abilities while highlighting the potential risks of superintelligent AI surpassing human control.
Social Choice for AI Alignment: Dealing with Diverse Human Feedback
Foundation models like GPT-4 are fine-tuned to prevent unsafe behavior by refusing requests for criminal or racist content. They use reinforcement learning from human feedback.
OpenAI Wants AI to Help Humans Train AI
AI-assisted human training can enhance AI models in reliability and accuracy.
RLHF - The Key to Building Safe AI Models Across Industries | HackerNoon
RLHF is crucial for aligning AI models with human values and improving their output quality.
How Scale became the go-to company for AI training
AI companies like OpenAI depend on Scale AI for human-driven training of LLMs, emphasizing the importance of human feedback.
The Role of RLHF in Mitigating Bias and Improving AI Model Fairness | HackerNoon
Reinforcement Learning from Human Feedback (RLHF) plays a critical role in reducing bias in large language models while enhancing their efficiency and fairness.
Navigating Bias in AI: Challenges and Mitigations in RLHF | HackerNoon
Reinforcement Learning from Human Feedback (RLHF) aims to align AI with human values, but subjective and inconsistent feedback can introduce biases.
Social Choice for AI Alignment: Dealing with Diverse Human Feedback
Foundation models like GPT-4 are fine-tuned to prevent unsafe behavior by refusing requests for criminal or racist content. They use reinforcement learning from human feedback.
OpenAI Wants AI to Help Humans Train AI
AI-assisted human training can enhance AI models in reliability and accuracy.
RLHF - The Key to Building Safe AI Models Across Industries | HackerNoon
RLHF is crucial for aligning AI models with human values and improving their output quality.
How Scale became the go-to company for AI training
AI companies like OpenAI depend on Scale AI for human-driven training of LLMs, emphasizing the importance of human feedback.
The Role of RLHF in Mitigating Bias and Improving AI Model Fairness | HackerNoon
Reinforcement Learning from Human Feedback (RLHF) plays a critical role in reducing bias in large language models while enhancing their efficiency and fairness.
Navigating Bias in AI: Challenges and Mitigations in RLHF | HackerNoon
Reinforcement Learning from Human Feedback (RLHF) aims to align AI with human values, but subjective and inconsistent feedback can introduce biases.