machine learning – Page 12 – Andrew Fairless, Ph.D.

What I Read: Nvidia AI Supremacy Temporary

By Andrew Fairless on October 25, 2023October 5, 2023

https://petewarden.com/2023/09/10/why-nvidias-ai-supremacy-is-only-temporary/ Why Nvidia’s AI Supremacy is Only TemporarySeptember 10, 2023Pete Warden “…hopefully I’ve made a convincing case that there are strong structural reasons behind Nvidia’s success. Here’s how I seeContinue readingWhat I Read: Nvidia AI Supremacy Temporary

What I Read: LLMs, single example

By Andrew Fairless on October 23, 2023September 9, 2023

https://www.fast.ai/posts/2023-09-04-learning-jumps/ Can LLMs learn from a single example?Jeremy Howard and Jonathan WhitakerSeptember 4, 2023 “We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug,Continue readingWhat I Read: LLMs, single example

What I Read: To Understand Transformers, Focus on Attention

By Andrew Fairless on October 16, 2023September 4, 2023

https://drscotthawley.github.io/blog/posts/Transformers1-Attention.html To Understand Transformers, Focus on AttentionScott H. HawleyAugust 21, 2023 “To Understand Transformers, Focus on Attention”

What I Read: A.I. Tool Diagnoses Brain Tumors

By Andrew Fairless on October 13, 2023October 12, 2023

https://www.nytimes.com/2023/10/11/health/ai-tumor-diagnosis-brain-cancer.html New A.I. Tool Diagnoses Brain Tumors on the Operating TableBenjamin MuellerOct. 11, 2023, 11:00 a.m. ET “New A.I. Tool Diagnoses Brain Tumors on the Operating Table”

What I Read: GPT-4, 8 Models in One

By Andrew Fairless on October 12, 2023September 4, 2023

https://www.kdnuggets.com/2023/08/gpt4-8-models-one-secret.html GPT-4: 8 Models in One; The Secret is OutBy Dr. Mandar Karhade, MD. PhD., Sr. Director Data Strategy and Advanced Analytics at Avalere HealthAugust 24, 2023 “The Mixture ofContinue readingWhat I Read: GPT-4, 8 Models in One

What I Read: AI, Images

By Andrew Fairless on October 11, 2023September 4, 2023

https://www.quantamagazine.org/the-ai-tools-making-images-look-better-20230823/ The AI Tools Making Images Look BetterAmos ZeebergAugust 23, 2023 “Researchers have discovered ways around a fundamental trade-off between accuracy and beauty in digital images.”

What I Read: LLM research

By Andrew Fairless on October 10, 2023September 4, 2023

https://huyenchip.com//2023/08/16/llm-research-open-challenges.html Open challenges in LLM research8/15/23 8:00 PM “Never before in my life had I seen so many smart people working on the same goal: making LLMs better… I noticedContinue readingWhat I Read: LLM research

What I Read: Multimodal, Embeddings

By Andrew Fairless on October 5, 2023September 4, 2023

https://app.twelvelabs.io/blog/multimodal-embeddings The Multimodal Evolution of Vector EmbeddingsJames LeAugust 9, 2023 “…companies collect and feed hundreds of millions of terabytes of multimodal data into deep learning models. As a result, embeddings…Continue readingWhat I Read: Multimodal, Embeddings

What I Read: Bonsai Networks, RNNs

By Andrew Fairless on October 3, 2023September 4, 2023

https://cprimozic.net/blog/growing-sparse-computational-graphs-with-rnns/ Growing Bonsai Networks with RNNsCasey Primozic “This writeup introduces what I’m calling Bonsai Networks – extremely sparse computational graphs produced by training and pruning RNNs. They provide an interpretableContinue readingWhat I Read: Bonsai Networks, RNNs

What I Read: Models Memorize or Generalize?

By Andrew Fairless on October 2, 2023September 4, 2023

https://pair.withgoogle.com/explorables/grokking/ Do Machine Learning Models Memorize or Generalize?By Adam Pearce, Asma Ghandeharioun, Nada Hussein, Nithum Thain, Martin Wattenberg and Lucas DixonAugust 2023 “Large language models can certainly seem like theyContinue readingWhat I Read: Models Memorize or Generalize?

Tag: machine learning