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

What I Read: Musings on AI Engineering

By Andrew Fairless on September 16, 2024June 29, 2024

https://www.sh-reya.com/blog/ai-engineering-short Short Musings on AI Engineering and “Failed AI Projects”Shreya ShankarJun 24, 2024 “When we studied the traditional MLOps lifecycle, we found one common pattern across all successful ML products—theirContinue readingWhat I Read: Musings on AI Engineering

What I Read: LLMs train LLMs

By Andrew Fairless on September 4, 2024June 15, 2024

https://sakana.ai/llm-squared Can LLMs invent better ways to train LLMs?Sakana AIJune 13, 2024 “…LLMs themselves have grown increasingly capable of generating hypotheses and writing code. This raises an intriguing question: canContinue readingWhat I Read: LLMs train LLMs

What I Read: neural systems understanding

By Andrew Fairless on August 26, 2024June 15, 2024

Can an emerging field called ‘neural systems understanding’ explain the brain? Can an emerging field called ‘neural systems understanding’ explain the brain?George Musser5 June 2024 “This mashup of neuroscience, artificialContinue readingWhat I Read: neural systems understanding

What I Read: Platonic Hypothesis

By Andrew Fairless on July 29, 2024May 24, 2024

https://phillipi.github.io/prh The Platonic Representation HypothesisMinyoung Huh, Brian Cheung, Tongzhou Wang, Phillip IsolaMITPosition Paper in ICML 2024 “Neural networks, trained with different objectives on different data and modalities, are converging toContinue readingWhat I Read: Platonic Hypothesis

What I Read: Chain-of-Thought Reasoning

By Andrew Fairless on June 3, 2024April 15, 2024

https://www.quantamagazine.org/how-chain-of-thought-reasoning-helps-neural-networks-compute-20240321 How Chain-of-Thought Reasoning Helps Neural Networks ComputeBen Brubaker3/21/24 11:15 AM “Large language models do better at solving problems when they show their work. Researchers are beginning to understand why.”

What I Read: Forgetting Can Help AI Learn

By Andrew Fairless on April 29, 2024March 1, 2024

https://www.quantamagazine.org/how-selective-forgetting-can-help-ai-learn-better-20240228/ How Selective Forgetting Can Help AI Learn BetterAmos Zeeberg2/28/24 10:38 AM “Erasing key information during training results in machine learning models that can learn new languages faster and moreContinue readingWhat I Read: Forgetting Can Help AI Learn

What I Read: How Quickly LLMs Learn Skills?

By Andrew Fairless on April 10, 2024March 1, 2024

How Quickly Do Large Language Models Learn Unexpected Skills?Stephen Ornes2/13/24 10:32 AM “A new study suggests that so-called emergent abilities actually develop gradually and predictably, depending on how you measureContinue readingWhat I Read: How Quickly LLMs Learn Skills?

What I Read: Open Source AI

By Andrew Fairless on April 2, 2024March 1, 2024

https://press.airstreet.com/p/the-case-for-open-source-ai The Case for Open Source AIArm the rebelsAir Street Capital, Nathan Benaich, and Alex ChalmersFeb 8, 2024 “Open source is indisputably one of the biggest drivers of progress inContinue readingWhat I Read: Open Source AI

What I Read: Artificial, Biological Intelligence

By Andrew Fairless on April 1, 2024March 1, 2024

https://medium.com/@begus.gasper/artificial-and-biological-intelligence-humans-animals-and-machines-142bc3c4b304 Artificial and Biological Intelligence: Humans, Animals, and MachinesGasper BegusSep 19, 2023 “…a highly promising direction in AI research is to use artificial intelligence to better understand biological intelligence, andContinue readingWhat I Read: Artificial, Biological Intelligence

Tag: artificial intelligence