From this perspective, Gemini is also worse than the original Bard. Sydney was the original sin of LLMs anthropormism, but also got the idea that AIs can sometimes be better with personalities right. Even if that personality was unhinged.
OpenAI should probably bite the bullet and just name their next set of models something more human sounding. Everyone anthropomorphizes their AIs anyway, and "Claude" is an easier name to refer to than ChatGPT. Also easier to make a gerund, "Clauding," or adjective, "Claudy-y."
A #Keras-Based Autoencoder for Anomaly Detection in Sequence! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode References Agmon, A. (2020, January 16). A Keras-based autoencoder for anomaly detection in sequences. Towards Data Science. Retrieved March 10, 2025, from medium.com/towards-data-scie… O’Connor, R. (2022, January 3). Introduction to variational autoencoders using Keras. AssemblyAI. Retrieved March 10, 2025, from assemblyai.com/blog/introduc…
GPU for LLM, AI, ML and #HPC. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode References ProphetStor. (n.d.). Maximizing GPU efficiency in multitenant LLM training [White paper]. Retrieved March 10, 2025, from prophetstor.com/white-papers… VanLee, G. (2023, March 22). The importance of high-performance computing as a service (HPCaaS) for research and innovation [Blog post]. Rescale. Retrieved March 10, 2025, from rescale.com/blog/the-importa…
Can your AI reliably predict the future for robust offline learning? Researchers from Nanjing University and the University of Montréal introduce ADM-v2. Unlike prior models that accumulate errors over long sequences, ADM-v2 directly forecasts full episodes, offering