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

What I Read: Deep learning, single-cell sequencing

By Andrew Fairless on March 6, 2024January 25, 2024

https://thegradient.pub/deep-learning-for-single-cell-sequencing-a-microscope-to-uncover-the-rich-diversity-of-individual-cells/ Deep learning for single-cell sequencing: a microscope to see the diversity of cellsFatima Zahra El Hajji1/13/24 1:12 PM “…we will explore the pivotal role that Deep Learning, in particular,Continue readingWhat I Read: Deep learning, single-cell sequencing

What I Read: Nvidia, GPU gold rush

By Andrew Fairless on January 30, 2024November 20, 2023

https://blog.johnluttig.com/p/nvidia-envy-understanding-the-gpu Nvidia Envy: understanding the GPU gold rushJohn LuttigNov 10, 2023 “In 2023, thousands of companies and countries begged Nvidia to purchase more GPUs. Can the exponential demand endure?”

What I Read: Helping AI See

By Andrew Fairless on January 23, 2024November 20, 2023

https://www.quantamagazine.org/the-computing-pioneer-helping-ai-see-20231024/ The Computing Pioneer Helping AI SeeSusan D’AgostinoOctober 24, 2023 ““Patches of color and brightness require us to connect what we’re seeing now to our memory…”… machines see what isContinue readingWhat I Read: Helping AI See

What I Read: Multimodality

By Andrew Fairless on January 4, 2024November 7, 2023

https://huyenchip.com/2023/10/10/multimodal.html Multimodality and Large Multimodal Models (LMMs)Chip HuyenOct 10, 2023 “For a long time, each ML model operated in one data mode… However, natural intelligence is not limited to justContinue readingWhat I Read: Multimodality

What I Read: Privacy side channels in ML

By Andrew Fairless on November 27, 2023October 5, 2023

https://spylab.ai/blog/side-channels-machine-learning/ Privacy side channels in machine learning systemsEdoardo Debenedetti, Florian TramèrSep 12, 2023 “An additional application of our membership inference attack is to test whether specific data sources were partContinue readingWhat I Read: Privacy side channels in ML

What I Read: How make history with LLMs

By Andrew Fairless on November 8, 2023October 5, 2023

https://leighmariebraswell.substack.com/p/how-to-make-history-with-llms-and How to make history with LLMs & other generative modelsLeigh Marie BraswellSep 21, 2023 “Over the past year I’ve talked to many founders, operators, and investors, and I’ve encounteredContinue readingWhat I Read: How make history with LLMs

What I Read: Physical Process, Generative AI

By Andrew Fairless on October 31, 2023October 5, 2023

https://www.quantamagazine.org/new-physics-inspired-generative-ai-exceeds-expectations-20230919/ The Physical Process That Powers a New Type of Generative AISteve Nadis9/19/23 10:15 AM “Some modern image generators rely on the principles of diffusion to create images. Alternatives basedContinue readingWhat I Read: Physical Process, Generative AI

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.”

Tag: generative