Andrew Fairless, Ph.D.
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2023-06-27
What I Read: Reinforcement Learning from Human Feedback
2023-06-21
What I Read: Reinforcement Learning, Language Models
2023-06-20
What I Read: Computation, Artificial Intelligence
2023-06-19
What I Read: Tree-Structured Parzen Estimator
2023-06-15
What I Read: Drawing Neural Networks
2023-06-13
What I Read: Open Source, AlphaTensor
2023-06-12
What I Read: Multi-label NLP
2023-06-08
What I Read: Unsupervised Learning Metrics
2023-06-07
What I Read: different meanings of p-value
2023-06-05
What I Read: One Large Model
2023-05-31
What I Read: smaller LLMs, more tokens
2023-05-30
What I Read: Few Shot, Recommenders, LLMs
2023-05-29
What I Read: LLM applications, production
2023-05-25
What I Read: Prompt Engineering
2023-05-24
What I Read: Multimodal Models
2023-05-23
What I Read: human touch, LLMs
2023-05-18
What I Read: MLOps, Data Engineering
2023-05-17
What I Read: Graph Neural Networks
2023-05-15
What I Read: Topic Modeling
2023-05-11
What I Read: GPT, Ranking
2023-05-09
What I Read: Competitive Machine Learning
2023-05-08
What I Read: Abilities Emerging From AI
2023-05-03
What I Read: Teach Machines to Be Fair
2023-05-02
What I Read: databases
2023-05-01
What I Read: Functional, Object Oriented Programming
2023-04-27
What I Read: Neural Networks, Locks
2023-04-26
What I Read: Bloom filter
2023-04-25
What I Read: Data science, cloud
2023-04-20
What I Read: data, product teams
2023-04-18
What I Read: Relative representations
2023-04-17
What I Read: Predict Distributions
2023-04-12
What I Read: Infrastructure
2023-04-11
What I Learn: neural scaling, data pruning
2023-04-10
What I Read: Geometric Deep Learning
2023-04-06
What I Read: Teach Computers Math
2023-04-05
What I Read: Data Product vs. Service
2023-04-04
What I Learn: SQL, Malloy
2023-03-30
What I Read: Language world models or surface statistics?
2023-03-29
What I Read: More Flexible Machine Learning
2023-03-27
What I Read: SQL pipelines
2023-03-23
What I Read: recommender system architectures
2023-03-21
What I Read: Machines Learn, Teach Basics
2023-03-20
What I Read: Data Normal
2023-03-16
What I Read: Transformer Inference Optimization
2023-03-15
What I Read: Optimizing Machine Learning Training Pipelines
2023-03-14
What I Read: Feature Platforms
2023-03-09
What I Read: Compare Two Ranked Lists
2023-03-08
What I Read: Data Pipeline Design Patterns
2023-03-06
What I Read: Modern AI Art
2023-03-02
What I Read: Shapley Values
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