Machine Learning

The model has become one of the most interesting open-source foundation models in the space. — I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give…

Explained with an example use case. — ChatGPT and many other LLMs have led the way for creating LLM-based applications in different domains. These models are extremely powerful at processing text inputs and creating text outputs based on your queries. However, they’re not designed as a development framework. LangChain is an open-source development framework for applications that…

An overview of one of the most famous probability distributions — Background The Poisson distribution is a ubiquitous discrete probability distribution. It was published by Siméon Denis Poisson in the early 19th century and since found applications in many industries, including insurance, epidemiology, and e-commerce. Therefore, it is an essential concept of Data Scientists to be aware of. …

Boosting Your Way to Success — Welcome, students, researchers, and everyone who’s ever gazed at a computer and thought, “I want to make you smarter!” Machine Learning (ML), a subset of artificial intelligence, is like teaching your computer to fish rather than just giving it a fish. Except replace ‘fish’ with ‘problem-solving capabilities’. Fun analogy, isn’t…

What did meadows look like 20+ years ago? — There is great potential in the ever-increasing amount of satellite data, and it is a common objective for many to take advantage of this by seizing the opportunities offered by new data sources. For example, systematically integrating and incorporating geo-referenced data could greatly benefit the production of official statistics…

A simple introduction to a fundamental concept of machine learning — When making different decisions and estimations regarding a machine learning project, such as deciding whether to start / keep working on the project or not, estimating the business impact of the project, choosing the main strategy for improving the model performance, one of the most important considerations is how much…

For data scientists like us, the rise of powerful language models such as ChatGPT was no surprise. We’ve witnessed the continuous evolution of machine learning models, growing larger and demanding more data for training. In fact, I wrote an article more than a year ago highlighting the watchouts of deep…

And a short summary for each. — It was only six months ago when OpenAI released ChatGPT, the mind-blowing player in the large language model (LLM) ecosystem. ChatGPT definitely changed people’s minds on using LLMs. Approximately two months after it was released, ChatGPT became the fastest growing consumer software application, gaining more than 100 million users. It…

Learn how to run inference with 7-billion and 40-billion Falcon on a 4th Gen Xeon CPU with Hugging Face Pipelines — It’s easy to assume that the only way that we can perform inference with LLMs that are made up of billions of parameters is with a GPU. While it’s true that GPUs provide significant accelerations over CPUs in deep learning, the hardware should always be selected based on the use…