Day 4. Are Your Students Learning? How to check for learning as we’re teaching
Here are 5 exercises you can use as formative assessments when teaching coding skills, that will allow you to support your student at the moment when the learning is happening.
I've ended up with an inquiry from a #DataScience student interested in examples of #harm coming to people because of #data collection (especially in a war context, but open to anything). Do folks have any favorite pointers / examples I could pass along?
(1/2) Prompt Fuzzer - a new open-source project for LLM security 👇🏼
Prompt Fuzzer is a new open-source project that provides a set of functions for assessing the security of GenAI applications. This CLI-based tool enables you to run and test your system prompts to identify security vulnerabilities against potential dynamic LLM-based attacks.
Getting started with the Dev Containers extension 🚀👇🏼
The Dev Containers extension is the main reason I moved to VScode, as it provides a native and seamless integration of Docker 🐳. I started to work on a sequence of tutorials focusing on the VScode Dev Containers extension. The first tutorial on the sequence focuses on getting started with the Dev Containers extension;
ICYMI, MIT HASTS ABD Alex Reiss Sorokin presented an excellent CBI Tomash Fellow Lecture, "From Search to Research Technologies 1964-1994," on April 30th. The video of the talk now is available. #ai#datascience#librarians
We're extremely proud to announce that Deepsha Menghani (@deepsha) will be the Keynote Speaker at the Cascadia R Conference 2024. Her talk, titled 'Why is everybody talking about Generative AI?' will explore how GenAI applications have revolutionized numerous industries through practical use cases.
:gt: @graph_tool is a comprehensive and efficient :python: Python library to work with networks, including structural, dynamical and statistical algorithms, as well as visualization.
It uses :cpp: C++ under the hood for the heavy lifting, making it quite fast.
Here is a great summary or glossary doc about LLM by Aman Chadha. This long doc provides a summary of some of the main concepts related to LLM. This includes topics such as:
✅ Embeddings
✅ Vector database
✅ Prompt engineering
✅ Token
✅ RAG
✅ LLM performance evaluation
✅ Review main LLMs
I recently concluded 2 urban #datascience projects that I dreamt of doing since a long time, with 2 super talented MSc students who visited us @nerdsitu last year from Germany, Carlson @cbueth and Henrik @supergrobi.
I think in PowerShell and can manage in Python. I want to learn Rust to the degree I can write in it directly, rather than prototyping in PowerShell and then converting.
A lot of what I do is data manipulation and analysis. (Take several CSV files as input, and output new CSV files that answer business questions based on the inputs.) I'm seriously impressed with Rust's performance here.
If you've made this transition, advice on where to begin?
Version 1.7.1 of the NeuralForecast #Python library was released last month by Nixtla. The NeuralForecast library, as the name implies, provides a neural network framework for time series forecasting. 🧵👇🏼
I'll be hosting Michigan Python tomorrow at 7pm EDT. Justin Smethers will be giving a talk about how DuckDB can be used to speed up your data analysis in Python. All are welcome online or in person. #Python#DataSciencehttps://meetu.ps/e/N1csW/t4QC5/i
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Request for testing/comment: can any #rstats users out there give the #wip {styler.equals} package a spin and kick its metaphorical tires 🚲 ? Install with remotes::install_github("robinlovelace/styler.equals") and see more at https://github.com/Robinlovelace/styler.equals Especially for those who prefer typing = over <- due to laziness or any other reason! Not intending to start a flame war 🔥 arrows are great too ⬅️ Any comments/suggestions welcome 🙏 #rspatial#DataScience#style