Karl WeinmeisterinGoogle Cloud - CommunityLevel up your codebase with Gemini’s long context window in Vertex AIDevelopers often find themselves working with an unfamiliar codebase. It takes time to onboard, and mistakes can happen along the way.Aug 271Aug 271
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
