Tag: reward modeling
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Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…
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CSA: Test Time Compute
Source URL: https://cloudsecurityalliance.org/blog/2024/12/13/test-time-compute Source: CSA Title: Test Time Compute Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses Test-Time Computation (TTC) as a pivotal technique to enhance the performance and efficiency of large language models (LLMs) in real-world applications. It highlights adaptive strategies, the integration of advanced methodologies like Monte Carlo Tree Search…
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Schneier on Security: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems
Source URL: https://www.schneier.com/blog/archives/2024/09/evaluating-the-effectiveness-of-reward-modeling-of-generative-ai-systems-2.html Source: Schneier on Security Title: Evaluating the Effectiveness of Reward Modeling of Generative AI Systems Feedly Summary: New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback (RLHF): “SEAL: Systematic Error Analysis for Value ALignment.” The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning…