https://explosion.ai/blog/against-llm-maximalism Against LLM maximalismby Matthew HonnibalMay 18, 2023 “However, LLMs are not a direct solution to most of the NLP use-cases companies have been working on… if you want to
What I Read: Computation, Artificial Intelligence
https://www.quantamagazine.org/a-new-approach-to-computation-reimagines-artificial-intelligence-20230413/ A New Approach to Computation Reimagines Artificial IntelligenceAnil AnanthaswamyApril 13, 2023 “By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently
What I Read: Tree-Structured Parzen Estimator
https://towardsdatascience.com/building-a-tree-structured-parzen-estimator-from-scratch-kind-of-20ed31770478 Building a Tree-Structured Parzen Estimator from Scratch (Kind Of)An alternative to traditional hyperparameter tuning methodsColin HorganApr 4 “Although popular, Grid and Random Search methods… are purely trial and error.
What I Read: Multi-label NLP
https://www.kdnuggets.com/2023/03/multilabel-nlp-analysis-class-imbalance-loss-function-approaches.html Multi-label NLP: An Analysis of Class Imbalance and Loss Function ApproachesOleksii Babych, Machine Learning Engineer at ProvectusMarch 17, 2023 “Multi-label NLP refers to the task of assigning multiple labels
What I Read: Unsupervised Learning Metrics
https://www.kdnuggets.com/2023/04/exploring-unsupervised-learning-metrics.html Exploring Unsupervised Learning MetricsCornellius Yudha WijayaApril 13, 2023 “This article will discuss the metrics used to evaluate unsupervised machine learning algorithms…”