Foundations of Local Large Language models

About this Course

By the end of this course, a learner will have a solid understanding of Large Language Models running locally. You\'ll be able to setup a local environment using powerful tooling to run different LLMs and interact with them both with a web interface as well as with APIs. You will explore other tools and programming languages to interact with these LLMs and using LLMs via via Hugging Face Candle and Mozilla llamafile.

Created by: Duke University


Related Online Courses

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you perform basic configuration tasks within a Chronicle environment instance.Created by: Google Cloud more
This Guided Project \"Python for Beginners: Data Structures\" is for individuals who are new to programming and want to learn the basics of Python data structures. In this 2-hour long project-based... more
In this project, we will analyze life expectancy data by performing data wrangling & exploratory data analysis (EDA). Pandas is a powerful open source data analysis tools in python. Exploratory... more
In this course, \"Architecting with Google Kubernetes Engine: Production,\" you\'ll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using Google... more
In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL