AI Data Chats
Tracking the Multimodal AI Data Supply Chain
Chat on advancements in mixing datasets and data modalities.
Discussion on the importance of better tools and documentation.
Chat on the importance of vibe testing and exploring data for better models.
Balancing fact and speculation in synthetic data & building flexible user interactions.
Rescuing failing drugs using agentic workflows and deep learning.
Why LLMs as judges fall short and how model juries reduce bias.
Why understanding “organic” human data is key to synthetic datasets.
Why to ditch “context stuffing” in RAG systems.
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