Karl WeinmeisterinGoogle Cloud - CommunityBeyond temperature: Tuning LLM output with top-k and top-pWhat are top-k and top-p? What do they mean, how do they work, and how can they be tuned?Jul 31Jul 31
Karl WeinmeisterinGoogle Cloud - CommunityIs a Zero Temperature Deterministic?Learn more about a crucial LLM model parameter, and how to configure it on Gemini Pro with Vertex AIJul 17Jul 17
Karl WeinmeisterinGoogle Cloud - CommunityFrom notebook to Cloud Run service in 10 minutes: applied to Gemini Function CallingWhat if you see some code you really like in a Jupyter notebook? And you want to turn it into an app? Let’s learn how in this blog post.Jun 18Jun 18
Karl WeinmeisterinGoogle Cloud - CommunityDoing Math with Large Language ModelsHow can Large Language Models (LLMs) help you with math problems? This blog post will explore a range of techniques with Google’s Gemini.May 211May 211
Karl WeinmeisterinGoogle Cloud - CommunityHow to Augment Text Data with Gemini through BigQuery DataFramesData augmentation is a technique used in machine learning to increase the size of a dataset by creating new data out of existing data.Apr 6Apr 6
Karl WeinmeisterinkubeflowAutomated Model Retraining with Kubeflow PipelinesHow to implement a reproducible ML workflow that adapts to new dataJul 9, 20192Jul 9, 20192
Karl WeinmeisterinTowards Data ScienceUnderstand how your TensorFlow Model is Making PredictionsIntroductionFeb 25, 2019Feb 25, 2019