https://huyenchip.com//2024/01/16/sampling.html Sampling for Text GenerationChip Huyen1/15/24 “ML models are probabilistic…. This probabilistic nature makes AI great for creative tasks…. However, this probabilistic nature also causes inconsistency and hallucinations. It’s fatal
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: Confidence intervals, balanced accuracy
https://code.groundlight.ai/python-sdk/blog/confidence-intervals-for-balanced-accuracy Tales from the Binomial Tail: Confidence intervals for balanced accuracyTed SandlerSenior Applied Scientist at GroundlightLeo DiracCTO and Co-founder at GroundlightJanuary 16, 2024 “…we put careful thought into measuring the
What I Read: Smooth Noisy Data
https://towardsdatascience.com/the-perfect-way-to-smooth-your-noisy-data-4f3fe6b44440?gi=a6f62aaf2818 The Perfect Way to Smooth Your Noisy DataAndrew BowellOct 25, 2023 “Insanely fast and reliable smoothing and interpolation with the Whittaker-Eilers method.”
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,