PinnedJonathan DavisinAI AdvancesHow to Choose a Foundation ModelAs the options for pre-trained models continually increase, there are key considerations that can dictate your choiceNov 2, 20235Nov 2, 20235
Jonathan DavisUnderstanding Anthropic’s Golden Gate ClaudeAnthropic’s research into monosemanticity can improve language model interpretability and safetyJun 271Jun 271
Jonathan DavisBoombox to GPU: The Power of PortableThe need for portability is advancing development of smaller state-of-the-art AI modelsMay 9May 9
Jonathan DavisUnderstanding Vector DatabasesThe growth of large language models has made vector databases a crucial part of the AI ecosystemFeb 51Feb 51
Jonathan DavisGoogle’s Gemini is competing with more than just ChatGPTGoogle’s timing in announcing their new AI model, Gemini, may be strategic marketing against the backdrop of OpenAI’s recent drama with Sam…Dec 11, 2023Dec 11, 2023
Jonathan DavisUnderstanding Constitutional AIConstitutional AI provides a transparent method of reducing the toxicity and harmful behavior exhibited by generative language modelsNov 15, 2023Nov 15, 2023
Jonathan DavisUnderstanding Generative AI: A Leap to Language PredictionA conceptual understanding of Large Laguage Models, no maths or technical knowledge neededSep 2, 2023Sep 2, 2023
Jonathan DavisinGeek CultureAn AI’s Guide To UtilitarianismBenefitting humankind: A how-to guide for superintelligent AIJun 22, 2021Jun 22, 2021
Jonathan DavisinTowards Data ScienceUnderstanding Google’s Switch TransformerApr 30, 2021Apr 30, 2021
Jonathan DavisinTowards Data ScienceUnderstanding Mixed Precision TrainingMixed precision for training neural networks can reduce training time and memory requirements without affecting model performance.Jan 28, 20213Jan 28, 20213