Posts

Andrew Fairless, Ph.D.

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2025-01-29

What I Read: Statistical Validity, Clusters
2025-01-28

What I Read: Steins Paradox
2025-01-27

What I Read: Transformers Inference Optimization
2025-01-23

What I Read: Viola Jones Algorithm
2025-01-22

What I Read: Data Missing
2025-01-21

What I Read: GenAI, Classify Text
2025-01-16

What I Read: Partial Functions
2025-01-15

What I Read: Jensen’s Inequality
2025-01-13

What I Read: Hampel Filter, time series
2025-01-09

What I Read: LLMs, 2024
2025-01-08

What I Read: Neural Networks, Understandable
2025-01-07

What I Read: sphering transform
2025-01-06

What I Read: embedding models
2024-12-19

What I Read: Toy Models, Superposition?
2024-12-18

What I Read: Is SHAP doomed?
2024-12-17

What I Watch: LLM agents, production
2024-12-16

What I Watch: How LLMs store facts
2024-12-12

What I Watch: compare high dimensional vectors
2024-12-11

What I Read: Fine Tuning LLM
2024-12-10

What I Read: Future of Distributed Systems
2024-12-05

What I Read: data catalogs
2024-12-04

What I Read: passively learned, causality
2024-12-03

What I Read: Evaluating LLM-Evaluators
2024-12-02

What I Read: sparsity, PyTorch, Hadamard product
2024-11-25

What I Read: tilted loss
2024-11-21

What I Read: Classifying pdfs
2024-11-20

What I Read: Tool Retrieval, RAG
2024-11-18

What I Read: LLM Pre-training Post-training
2024-11-14

What I Read: Difference, Statements and Expressions
2024-11-13

What I Read: Open-endedness, Agentic AI
2024-11-12

What I Read: Turing Test, intelligence
2024-11-07

What I Read: Regularization, polynomial bases
2024-11-05

What I Read: Contextual Bandit, LinUCB
2024-11-04

What I Read: Big Data is Dead
2024-10-30

What I Read: Visual Guide, Quantization
2024-10-29

What I Read: Generative AI Platform
2024-10-28

What I Read: History, Transformer
2024-10-24

What I Read: Kernel, Convolutional Representations
2024-10-22

What I Read: standard error
2024-10-21

What I Read: LLM evaluation
2024-10-17

What I Read: Data Flywheels, LLM
2024-10-16

What I Read: Use-cases, inverted PCA
2024-10-15

What I Read: Improving Language Models, Practical Size
2024-10-10

What I Read: Hidden Infinity, Preference Learning
2024-10-09

What I Read: Illustrated AlphaFold
2024-10-07

What I Read: Extrinsic Hallucinations, LLMs
2024-10-03

What I Read: decision analysis, significance testing
2024-10-01

What I Read: What can LLMs never do?
2024-09-30

What I Read: Sliding Window Attention
2024-09-25

What I Read: bare metal to 70B