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Four Ways to Explain Insights Extracted from Data

July 29, 2024

A tutorial on connections, coincidences, curiosity, and contradictions as strategies to explain insights from data.

Continue reading on Towards Data Science »

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⟵ This AI Paper from Stanford Provides New Insights on AI Model Collapse and Data Accumulation
Elon Musk shares video with AI-generated voice of Kamala Harris ⟶

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Exploring the Role of Hallucinations, Dependencies, and Imagination in AI Creativity Continue reading on Towards Data Science »

Beyond Fine-Tuning: Merging Specialized LLMs Without the Data Burden

In-Depth Exploration of Integrating Foundational Models such as LLMs and VLMs into RL Training Loop Authors: Elahe Aghapour, Salar Rahili Introduction: The…

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