Databricks

It's All About Perspective: Making a Case for Generative Art - posit::conf(2023)

Presented by Meghan Santiago Harris This talk explores how to create art in the R language while highlighting some similarities between the skills required for creating generative art and those needed to perform data science tasks in R. Because the field of data science is inherently task-oriented, it is no wonder that most people struggle to see the utility of generative art past the bounds of a casual hobby. This talk will invite the participant to learn about generative art while focusing on ""why"" people should create it and its potential place in data science. This talk is suitable for all disciplines and artistic abilities. Furthermore, this talk will aim to expand the participant's perspective on generative art with the following concepts: - What is generative art and how can it be created in R or Python - Justifications for generative art within Data Science - Examples of programming skills that are transferrable between generative art and pragmatic data science projects Materials: - Link to the talk repo: https://github.com/Meghansaha/a_case_for_genart - Link to the slides: https://meghansaha.github.io/a_case_for_genart/#/title-slide - Link to the artpack package site: https://meghansaha.github.io/artpack/ - Personal Site: https://thetidytrekker.com/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Developing your skillset; building your career. Session Code: TALK-1109

A hacker's guide to open source LLMs - posit::conf(2023)

Presented by Jeremy Howard In this deeply informative video, Jeremy Howard, co-founder of fast.ai and creator of the ULMFiT approach on which all modern language models (LMs) are based, takes you on a comprehensive journey through the fascinating landscape of LMs. Starting with the foundational concepts, Jeremy introduces the architecture and mechanics that make these AI systems tick. He then delves into critical evaluations of GPT-4, illuminates practical uses of language models in code writing and data analysis, and offers hands-on tips for working with the OpenAI API. The video also provides expert guidance on technical topics such as fine-tuning, decoding tokens, and running private instances of GPT models. As we move further into the intricacies, Jeremy unpacks advanced strategies for model testing and optimization, utilizing tools like GPTQ and Hugging Face Transformers. He also explores the potential of specialized datasets like Orca and Platypus for fine-tuning and discusses cutting-edge trends in Retrieval Augmented Generation and information retrieval. Whether you're new to the field or an established professional, this presentation offers a wealth of insights to help you navigate the ever-evolving world of language models. (The above summary was, of course, created by an LLM!) For the notebook used in this talk, see https://github.com/fastai/lm-hackers. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Notebooks+LLMs may just be the future of coding. Session Code: KEY-1107

Databricks

Resources tagged Databricks#

Next-Gen Data Science: How Posit and Databricks Are Transforming Analytics at Scale

Data + AI Summit 2024 - Keynote Day 2 - Full

What's New in Quarto?* - posit::conf(2023)

Visualizing Data Analysis Pipelines with Pandas Tutor and Tidy Data Tutor - posit::conf(2023)

Validating and Testing R Dataframes with Pandera via reticulate - R-Python Interoperability

Using R with Databricks Connect - posit::conf(2023)

Using R to develop production modeling workflows at Mayo Clinic - posit::conf(2023)

Using Data to Protect Traditional Lifeways - posit::conf(2023)

Unlock the Power of DataViz Animation and Interactivity in Quarto - posit::conf(2023)

Towards the Next Generation of Shiny UI

tidymodels: Adventures in Rewriting a Modeling Pipeline - posit::conf(2023)

The Need for Speed - AccelerateR-ing R Adoption in GSK - posit::conf(2023)

The 'I' in Team: Peer-to-Peer Best Practices for Growing Data Science Teams - posit::conf(2023)

Teaching Data Science in Adverse Circumstances: Posit Cloud and Quarto to the Rescue - posit::conf

Styling and Templating Quarto Documents - posit::conf(2023)

Solving a Secure Geocoding Problem (That Hardly Anybody Has) - posit::conf(2023)

Side Effects of a Year of Blogging - posit::conf(2023)

ShinyUiEditor: From Alpha to Powerful Shiny App Development Tool - posit::conf(2023)

Shiny New Tools for Scaling your Shiny Apps - posit::conf(2023)

Shiny for Python Machine Learning Apps with pandas, scikit-learn and TensorFlow - posit::conf(2023)

Serenity Now, Productivity Later: Focus Your Project Stack with The Gonzalez Matrix - posit::conf

Scale Your Data Validation Workflow With {pointblank} and Posit Connect - posit::conf(2023)

Running R-Shiny without a Server - posit::conf(2023)

Reproducible Manuscripts with Quarto - posit::conf(2023)

R! You Going?! - posit::conf(2023)

Parameterized Quarto Reports Improve Understanding of Soil Health - posit::conf(2023)

Package Management for Data Scientists - posit::conf(2023)

Open Source Property Assessment: Tidymodels to Allocate $16B in Property Taxes - posit::conf(2023)

Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)

Motley Crews: Collaborating with Quarto - posit::conf(2023)

Matching Tools to Titans: Tailoring Posit Workbench for Every Cloud - posit::conf(2023)

Making a (Python) Web App is easy! - posit::conf(2023)

Magic with WebAssembly and webR - posit::conf(2023)

Large Language Models in RStudio - posit::conf(2023)

It's All About Perspective: Making a Case for Generative Art - posit::conf(2023)

HTML and CSS for R Users - posit::conf(2023)

How You Get Value as a 1-Person Posit Connect Team - posit::conf(2023)

How to Help Developers Make Apps Users Love - posit::conf(2023)

How I Learned to Stop Worrying and Love Public Packages - posit::conf(2023)

How Data Scientists Broke A/B Testing (And How We Can Fix It) - posit::conf(2023)

Hitting the Target(s) of Data Orchestration - posit::conf(2023)

Grammar of Graphics in Python with Plotnine - posit::conf(2023)

Github Copilot integration with RStudio, it's finally here! - posit::conf(2023)

Getting the Most Out of Git - posit::conf(2023)

From Data Confusion to Data Intelligence - posit::conf(2023)

From Concept to Impact: Building and Launching Shiny Apps in the Workplace - posit::conf(2023)

FOCAL Point: Utilizing Python, R, and Shiny to Capture, Process, and Visualize Motion - posit::conf

Extending Quarto - posit::conf(2023)

epoxy: Super Glue for Data-driven Reports and Shiny Apps - posit::conf(2023)

duckplyr: Tight Integration of duckdb with R and the tidyverse - posit::conf(2023)

Diversify Your Career with Shiny for Python - posit::conf(2023)

Data Visualization with Seaborn - posit::conf(2023)

Data Science in Production: The Way to a Centralized Infrastructure - posit::conf(2023)

CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-Universe - posit::conf

Connect on Kubernetes: Content-level Containerization - posit::conf(2023)

Conformal Inference with Tidymodels - posit::conf(2023)

Can I Have a Word? - posit::conf(2023)

Becoming an R Package Author (or How I Got Rich Responding to GitHub Issues) - posit::conf(2023)

Adding a Touch of glitr: Developing a Package of Themes on Top of ggplot - posit::conf(2023)

A hacker's guide to open source LLMs - posit::conf(2023)

How the R for Data Science (R4DS) Online Learning Community Made Me a Better Student - posit::conf