Expand Your Data Science Toolkit with Our Latest Math and Stats Must-Reads

The fundamental principles of math that data scientists use in their day-to-day work may have been around for centuries, but that doesn’t mean we should approach the topic as if we only learn it once…

towardsdatascience.com 20 hours ago

Resolving Circular Imports in Python

Circular imports occur quite often during the development of Python applications and packages. The error arises when two modules attempt to import each other simultaneously — this creates a loop…

towardsdatascience.com 19 hours ago

Learn AI Together — Towards AI Community Newsletter #21

Good morning, AI enthusiasts! This week, the community has several exciting events, collaboration opportunities, and projects. We are also close to releasing a few amazing resources and need your…

medium.com_towards-ai 18 hours ago

How to Build a RAG System with a Self-Querying Retriever in LangChain

Recently, I was browsing Max trying to find a movie to watch. Typically this involves browsing through the various lists presented to me, reading a few descriptions, and then picking something that…

towardsdatascience.com 17 hours ago

Building an Email Assistant Application with Burr

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email…

towardsdatascience.com 17 hours ago

DuckDB and AWS — How to Aggregate 100 Million Rows in 1 Minute

When companies need a secure, performant, and scalable storage solution, they tend to gravitate toward the cloud. One of the most popular platforms in the game is AWS S3 — and for a good reason —…

towardsdatascience.com 14 hours ago

Hyperparameters Tuning with MLflow and Hydra Sweeps

When we develop Machine Learning models, we usually need to run lots of experiments to figure out which hyperparameter setting is best for a given algorithm. This can often lead to dirty code and…

towardsdatascience.com 14 hours ago

Using Double Machine Learning and Linear Programming to optimise treatment strategies

Welcome to my series on Causal AI, where we will explore the integration of causal reasoning into machine learning models. Expect to explore a number of practical applications across different…

Unleash Llama3 — How You Can Use the Latest Big-Tech Open-Source LLM

Llama3 is the latest model released by Meta’s AI team. According to Meta’s blog on Llama3, Llama3 outperforms GPT3.5 in 63.2% of cases on instruct human evaluation. According to this metric, Llama3's…

Relation Extraction with Llama3 Models

Relation extraction (RE) is the task of extracting relationships from unstructured text to identify connections between various named entities. It is done in conjunction with named entity recognition…