Language Model Generalization
Language tasks may appear constrained, but the variability in human writing complicates dataset creation. While models show general capabilities, they lack the robustness of human understanding, leading to limitations in extrapolation. Benchmarks present challenges, as they can misrepresent a model's true performance, raising questions about their validity in assessing language models.In this clip
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Machine Learning Street Talk (MLST)
Cohere co-founder Nick Frosst on building LLM apps for business
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