https://cnichkawde.github.io/statespacesequencemodels.html Beyond Transformers: Structured State Space Sequence ModelsChetan NichkawdeJanuary 22, 2024 “A new paradigm is rapidly evolving within the realm of sequence modeling that presents a marked advancement over the
What I Read: High-Quality Human Data
https://lilianweng.github.io/posts/2024-02-05-human-data-quality/Thinking about High-Quality Human DataLilian WengFebruary 5, 2024 “High-quality data is the fuel for modern data deep learning model training.”
What I Read: Artificial, Biological Intelligence
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, and
What I Read: Chatbots Understand Text
https://www.quantamagazine.org/new-theory-suggests-chatbots-can-understand-text-20240122/ New Theory Suggests Chatbots Can Understand TextAnil Ananthaswamy1/22/24 “Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing.”
What I Read: Deep learning, single-cell sequencing
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,