Machine Learning
1297 Threads
Article 4 of 5: Transformers in Practice: BERT, GPT, and Others Introduction In the world of natural language processing (NLP), Transformer models have revolutionized the way we...
Article 3: Unraveling the Architecture of Transformers Introduction Transformers have revolutionized the field of natural language processing (NLP), providing a new way to handle...
A Canonical List of References on AI & AGI: An unofficial list of research papers as if proposed by Sutskever, Carmack et. al. (2020). John Carmack's latest interview on AI/AGI ca...
Google is offering FREE Certification Courses in 2023. โ AI โ Python โ Automation โ Google Ads โ Machine Learning You don't want to miss this...๐
LLMs are everywhere but do you know how they generate textโ Let's take the magic out of it and break things down to first principles! Today I'll explain what is conditional proba...
This is one of the simplest Machine Learning models you'll see. Most people have heard about MNIST, but only a few can explain how this code works. Let's go together line by line...
K-Means has two major problems: - Number of clusters must be known - Doesn't handle outliers But there's a solution! Introducing DBSCAN, a Density based clustering algorithm. ๐...
There are three primary ways in which language models learn. Letโs quickly go over them and how they are different from each otherโฆ ๐งต [1/7] https://t.co/iaInEBqAIe
10 topics I would focus on if I were to start my Machine Learning career again: 1. Python 2. Data Structures & Algorithms 3. Probabilities & Statistics 4. Learning Algebra 5. Calc...
Foundation models are a popular topic in AI research. However, task-specific fine-tuning outperforms zero/few-shot learning with foundation models in most cases. Specialized models...
K-Means++ from scratch using Python ๐ฅ K-Means++ has a smarter way to initialise cluster centroids & is much more robust than K-Means โ๏ธ -- step by step explanation with code --...
If you are looking for Public Datasets to practice for Data Science & Machine Learning. Here are the 7 FREE Data Sources where you can find one for your next Project: Thread ๐งต๐ h...
Google has created a Generative AI learning path with 9 FREE courses! Topics cover: - Intro to LLMs - Attention Mechanism - Image Generation/Captioning - Intro to Responsible AI...
5 activation functions you should know! ๐งต 1/9 https://t.co/aubnTYSfQ0
Its easy to detect text written by ChatGPT But I found a way around it: Here's how: https://t.co/vM1ybDfU34
Stanford University has released these cheatsheets on Machine Learning, Deep Learning, Statistics, and Linear Algebra. Use this as your reference next time working with them: Thr...
How is ๐๐/๐๐ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐ณ๐ผ๐ฟ ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐ compared to ๐ฅ๐ฒ๐ด๐๐น๐ฎ๐ฟ ๐๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ? The important difference that the Machine Learning aspect of the projects brings to the...
In machine learning, we spend a lot of time writing the same set of code for cleaning, data preparation and model building โ๏ธ Here's an AutoML framework that takes data, target va...
"The Complete Bozos Guide to Fine-tuning" โข What is Fine-tuning? โข How to Fine-tune a custom LLM. โข When should we use fine-tuning? โข When NOT use use fine-tuning? Save This โ ht...
MIT is offering free courses in Python, Machine Learning and Deep Learning. All these courses are self-paced and complete them in your own time. A Thread ๐งต๐
MIT offers free courses in following areas: - Python - Machine Learning - Deep Learning - Probability & Statistics - Linear Algebra A comprehensive curriculum where you get to le...
There are ~130+ different Machine Learning algorithms. This is overwhelming for anyone starting, yet experts do this almost effortlessly. Here is their secret:
5 Regression Algorithms you should know ๐งต https://t.co/Q8Z0IXhnR9
The problem with ChatGPT is that it writes like a robot. But you can train it to write exactly like you. Here's how you can easily train ChatGPT with only one prompt:
