large language model – Andrew Fairless, Ph.D.

What I Read: Adaptive LLMs

By Andrew Fairless on April 30, 2025January 30, 2025

https://sakana.ai/transformer-squared Transformer²: Self-Adaptive LLMssakana.aiJanuary 15, 2025 “Imagine a machine learning system that could adjust its own weights dynamically to thrive in unfamiliar settings, essentially illustrating a system that evolves asContinue readingWhat I Read: Adaptive LLMs

What I Read: Tensor Dimensions, Transformers

By Andrew Fairless on April 29, 2025January 28, 2025

https://huggingface.co/blog/not-lain/tensor-dims Mastering Tensor Dimensions in TransformersHafedh HichriJanuary 12, 2025 “Most generative AI models are built using a decoder-only architecture. In this blog post, we’ll explore a simple text generation model,Continue readingWhat I Read: Tensor Dimensions, Transformers

What I Read: pitfalls, building AI

By Andrew Fairless on April 28, 2025January 28, 2025

https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Common pitfalls when building generative AI applicationsChip HuyenJan 16, 2025 “As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. ThisContinue readingWhat I Read: pitfalls, building AI

What I Read: cosine similarity

By Andrew Fairless on April 27, 2025January 28, 2025

https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity Don’t use cosine similarity carelesslyPiotr Migdał14 Jan 2025 “…we’ll see that blindly applying cosine similarity to vectors can lead us astray. While embeddings do capture similarities, they often reflectContinue readingWhat I Read: cosine similarity

What I Read: AI, HCI

By Andrew Fairless on April 24, 2025January 28, 2025

https://ianarawjo.medium.com/what-ai-engineers-can-learn-from-qualitative-research-methods-in-hci-5b29b9b7465a What AI engineers can learn from qualitative research methods in HCIIan ArawjoJan 9, 2025 “Meet inductive coding and grounded theory, the new bread-and-butter of LLMOps”

What I Read: impossible languages

By Andrew Fairless on April 23, 2025January 18, 2025

https://www.quantamagazine.org/can-ai-models-show-us-how-people-learn-impossible-languages-point-a-way-20250113/ Can AI Models Show Us How People Learn? Impossible Languages Point a Way.Ben Brubaker1/13/25 11:00 AM “Certain grammatical rules never appear in any known language. By constructing artificial languagesContinue readingWhat I Read: impossible languages

What I Read: Model Merging

By Andrew Fairless on April 17, 2025January 18, 2025

https://planetbanatt.net/articles/modelmerging.html Model Merging and YouEryk BanattAugust 2024 “Model Merging is a weird and experimental technique which lets you take two models and combine them together to get a new model.”

What I Read: agents

By Andrew Fairless on April 15, 2025January 11, 2025

https://huyenchip.com/2025/01/07/agents.html AgentsChip HuyenJan 7, 2025 “This section will start with an overview of agents and then continue with two aspects that determine the capabilities of an agent: tools and planning….Continue readingWhat I Read: agents

What I Read: Age of Data

By Andrew Fairless on April 14, 2025January 5, 2025

https://amatria.in/blog/ageofdata The end of the “Age of Data”? Enter the age of superhuman data and AIXavier AmatriainDecember 24, 2024 “This post will argue that the age of data is farContinue readingWhat I Read: Age of Data

What I Read: Building agents

By Andrew Fairless on April 9, 2025December 31, 2024

https://www.anthropic.com/research/building-effective-agents Building effective agentsErik Schluntz and Barry ZhangDec 19, 2024 “Over the past year, we’ve worked with dozens of teams building large language model (LLM) agents across industries. Consistently, theContinue readingWhat I Read: Building agents

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