Andrew Fairless – Page 2 – Andrew Fairless, Ph.D.

What I Read: Declarative Data Stack

By Andrew Fairless on March 11, 2025November 17, 2024

https://www.rilldata.com/blog/the-rise-of-the-declarative-data-stack The Rise of the Declarative Data StackSimon SpätiOctober 16, 2024 “But what does this shift towards declarative data stacks mean? How does it change how we build and manageContinue readingWhat I Read: Declarative Data Stack

What I Read: Quiz, Bayesian

By Andrew Fairless on March 10, 2025November 17, 2024

https://towardsdatascience.com/how-to-tackle-the-weekend-quiz-like-a-bayesian-b5e035ba3746?gi=57434a5858ed How to Tackle the Weekend Quiz Like a BayesianJunta SekimoriOct 28, 2024 “What is malmsey: a mild hangover, a witch’s curse or a fortified wine? Assuming we have noContinue readingWhat I Read: Quiz, Bayesian

What I Read: Multimodal LLMs

By Andrew Fairless on March 6, 2025November 17, 2024

https://magazine.sebastianraschka.com/p/understanding-multimodal-llms Understanding Multimodal LLMsSebastian Raschka, PhDNov 03, 2024 “In this article, I aim to explain how multimodal LLMs function. Additionally, I will review and summarize roughly a dozen other recentContinue readingWhat I Read: Multimodal LLMs

What I Read: LLMs, School Math

By Andrew Fairless on March 5, 2025November 16, 2024

https://towardsdatascience.com/understanding-llms-from-scratch-using-middle-school-math-e602d27ec876?gi=551c5bfd7f21 Understanding LLMs from Scratch Using Middle School MathRohit PatelOct 19, 2024 “In this article, we talk about how Large Language Models (LLMs) work, from scratch — assuming only thatContinue readingWhat I Read: LLMs, School Math

What I Read: GPU Computing

By Andrew Fairless on March 4, 2025November 16, 2024

https://blog.codingconfessions.com/p/gpu-computing What Every Developer Should Know About GPU ComputingAbhinav UpadhyayOct 18, 2023 “GPUs have become incredibly important because of their pervasive use in deep learning. Today, it is essential forContinue readingWhat I Read: GPU Computing

What I Read: Debate, AI

By Andrew Fairless on March 3, 2025November 16, 2024

Debate May Help AI Models Converge on Truth Debate May Help AI Models Converge on TruthStephen OrnesNovember 8, 2024 “Letting AI systems argue with each other may help expose whenContinue readingWhat I Read: Debate, AI

What I Read: Shapes, Matrix Multiplications

By Andrew Fairless on February 27, 2025November 16, 2024

https://www.thonking.ai/p/what-shapes-do-matrix-multiplications What Shapes Do Matrix Multiplications Like?Horace HeApr 01, 2024 “It has become tribal knowledge that the particular shapes chosen for matmuls has a surprisingly large effect on their performance.Continue readingWhat I Read: Shapes, Matrix Multiplications

What I Read: benchmark

By Andrew Fairless on February 26, 2025November 9, 2024

Run a benchmark they said. It will be fun they said. | PyData Amsterdam 2024Vincent D. WarmerdamOct 22, 2024 “This is the story of a fun idea that turned intoContinue readingWhat I Read: benchmark

What I Read: LLM judge

By Andrew Fairless on February 25, 2025November 9, 2024

https://hamel.dev/blog/posts/llm-judge Creating a LLM-as-a-Judge That Drives Business ResultsHamel HusainOctober 29, 2024 “Earlier this year, I wrote Your AI product needs evals. Many of you asked, “How do I get startedContinue readingWhat I Read: LLM judge

What I Read: degree certainty

By Andrew Fairless on February 24, 2025November 9, 2024

https://blog.alexalemi.com/a-degree-of-certainty.html A Degree of CertaintyAlexander A. Alemi2024-08-14 “None of the common ways to measure proabilities are statistically uniform. What do I mean by this? Not all 1% changes in probabilityContinue readingWhat I Read: degree certainty

Author: Andrew Fairless