Andrew Fairless – Page 24 – Andrew Fairless, Ph.D.

What I Read: Perspectives on diffusion

By Andrew Fairless on August 30, 2023July 30, 2023

https://sander.ai/2023/07/20/perspectives.html Perspectives on diffusionSander DielemanJuly 20, 2023 “Diffusion models appear to come in many shapes and forms…. these various perspectives each reveal new connections and are a breeding ground forContinue readingWhat I Read: Perspectives on diffusion

What I Read: shape of AGI

By Andrew Fairless on August 29, 2023July 30, 2023

https://windowsontheory.org/2023/07/17/the-shape-of-agi-cartoons-and-back-of-envelope/?1 The shape of AGI: Cartoons and back of envelopeBoaz BarakJuly 17, 2023 “AIs are not “silicon humans.””

What I Read: What we don’t talk about

By Andrew Fairless on August 28, 2023July 30, 2023

https://veekaybee.github.io/2023/07/18/what-we-dont-talk-about-when-we-talk-about-building-ai-apps/ What we don’t talk about when we talk about building AI appsVicki Boykis7/17/23 8:00 PM “From the technical perspective, here’s what we don’t discuss when we talk about deepContinue readingWhat I Read: What we don’t talk about

What I Read: speed up Python with Rust

By Andrew Fairless on August 24, 2023July 30, 2023

https://pythonspeed.com/articles/easiest-rust-python/ The easiest way to speed up Python with RustItamar Turner-Trauring7/9/23 8:00 PM “If you want to speed up some existing Python code, writing a compiled extension in Rust canContinue readingWhat I Read: speed up Python with Rust

What I Read: Topological Data Analysis

By Andrew Fairless on August 23, 2023July 9, 2023

https://datarefiner.com/feed/why-tda Why you should use Topological Data Analysis over t-SNE or UMAP?Edward KibardinApril 17, 2023 “Have you tried to run a complex supervised machine learning model, only to find unexpectedContinue readingWhat I Read: Topological Data Analysis

What I Read: Disagreement Modelling

By Andrew Fairless on August 21, 2023July 9, 2023

https://koaning.io/posts/large-disagreement-models/ Large Disagreement ModellingVincent D. Warmerdam2023-05-26 “So instead of fully relying on a large language model, how might we use it effectively in existing pipelines?”

What I Read: LLM Agents

By Andrew Fairless on August 17, 2023July 9, 2023

https://lilianweng.github.io/posts/2023-06-23-agent/ LLM Powered Autonomous AgentsLilian WengJune 23, 2023 “Building agents with LLM (large language model) as its core controller is a cool concept…. it can be framed as a powerfulContinue readingWhat I Read: LLM Agents

What I Read: artificial intelligence really hard

By Andrew Fairless on August 16, 2023July 9, 2023

https://thegradient.pub/why-transformative-artificial-intelligence-is-really-really-hard-to-achieve/ Why transformative artificial intelligence is really, really hard to achieveArjun Ramani and Zhengdong Wang26.Jun.2023“1. The transformational potential of AI is constrained by its hardest problems

What I Read: When NumPy slow

By Andrew Fairless on August 15, 2023July 9, 2023

https://pythonspeed.com/articles/numpy-is-slow/ When NumPy is too slowby Itamar Turner-TrauringLast updated 27 Jun 2023, originally created 27 Jun 2023 “What should you do when your NumPy-based code is too slow?”

Author: Andrew Fairless