RAG for Open Source LLMs
Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation.
Find out more »Building Containers for HPC
Building on the concepts introduced in Using Containers on HPC Resources, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how ...
Find out more »Introduction to Databases pt.1
Databases are central tools for organizing research. In addition to storing data, databases allow for data to be quantified in meaningful ways. The process of creating a database can also ...
Find out more »Using A.I. Tools Effectively and Ethically for Academic Research
UCLA undergraduate students and other UCLA students, faculty, and staff are invited to register for this hands-on workshop exploring the ethical and practical uses of A.I. text generation tools, led ...
Find out more »Planning for Accessibility in Research Proposals and Practices
In this training you will lean learn about the following topics: • Introduction to DCP and Services for Researchers • Training and Resources for Accessible Research • Accessible Research Tools ...
Find out more »Introduction to Graph Databases
Graph databases are at the frontier of data science, humanities, and AI computing. Built to handle dense, highly interconnected data, graph databases underpin many social networks, big data applications, and ...
Find out more »Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates ...
Find out more »EHR Research Data Provisioning
A complete walkthrough of the UCLA EHR Data Provisioning Workflow Cycle. Descriptive talk of the full implementation of the Regulatory Requirements, the Technical Specifications, and the integration of Multiple Data ...
Find out more »Big Data on HPC
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data ...
Find out more »High Performance Python for Data Analytics pt.1
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Mediation Models using Mplus,
This workshop will introduce mediation (i.e., causal) models using Mplus. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses. Models with ...
Find out more »High Performance Python for Data Analytics pt.2
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Cloud Computing
This workshop provides an overview of cloud computing concepts, including its benefits, services, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud ...
Find out more »Introduction to Linear Regression in R
This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model ...
Find out more »NIH Data Sharing Policies – Tips for Participant Protections and Data Security
Policy and how they harmonize with one another. This talk will delve into participant protections describing frameworks to consider when working with participant data, especially from American Indian or Alaskan ...
Find out more »Accessing and Activating Audiovisual Materials for Your Research
Through this workshop attendees will learn how to search, access, and activate audiovisual materials to help with their research. This includes step-by-step processes of searching through UCLA's expansive Special Collections ...
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