One use of LLMs that I haven't seen mentioned before is to use them as a sounding board for your own ideas.
By discussing your concept with an LLM, you can gain fresh perspectives through its generated responses.
In this context, the LLM's actual comprehension is irrelevant. The purpose lies in its ability to spark new thought processes by prompting you with unexpected framings or questions.
Definitely recommend trying this trick next time you're writing something.
The ML for Beginners is a course by Microsoft that covers the foundation of machine learning. As the name implies, this 12-week course is for beginners and provides intro to the following topics:
✅ Fairness and machine learning
✅ Regression and classification
✅ Clustering
✅ Natural language processing
✅ Time series forecasting
✅ Reinforcement learning
sounds like the much heralded job of the future, "prompt engineer" is no longer needed 😅
"Battle and his collaborators found that in almost every case, this automatically [AI generated] generated prompt did better than the best prompt found through trial-and-error. And, the process was much faster, a couple of hours rather than several days of searching."
(1/2) Data Analysis for Social Scientists - MIT Course 🚀
MIT released a new course - Data Analysis for Social Scientists (MIT 14.310x), focusing on data analysis for social fields of science such as economics, public policy, and culture. This ten weeks course, by Prof. Esther Duflo and Dr. Sara Ellison, covers topics such as:
(1/2) Apple open source a new Python library for simulation framework for accelerating research in Private Federated Learning.
The library - pfl is a Python framework developed at Apple to empower researchers to run efficient simulations with privacy-preserving federated learning (FL) and disseminate the results of their research in FL.
Just spent at least two hours deleting all of my work from Tumblr, before their AI scraping shit hits the fan, although it's probably too late. In that case, the deletion functions as a gesture of protest.
This shameless large-scale intellectual property theft by greedy tech business assholes everywhere is starting to make the internet pretty annoying. 😖
Is it possible to tap diedcty into an NPU (Ryzen AI or Intel thing) to make it do some calculations for me?
All the SDKs and examples I find are Python Tensorflow/PyTorch stuff. I just want direct route to the NPU, to make it do matrix calculations. Also, no python, give me C/C++ bindings!
Is that a thing? I can’t seem to find any source on that.
A team from the University of Cambridge has unveiled a pioneering platform that combines automated experimentation with Machine Learning (ML) to predict chemical reactions, potentially accelerating the development of new drugs.
(1/2) Microsoft Forecasting Framework for Finance Time Series 🚀
The finnts is an R package from Microsoft for automated forecasting for financial forecast. This includes the following features:
✅ Automated feature engineering and feature selection
✅ Training models with backtesting, scoring, and ranking
✅ Supports more than 25 models for univariate and multivariate time series
✅ Supports daily, weekly, monthly, quarterly, and yearly frequency #RStats#DataScience#forecasting#MachineLearning