Using Qwen2.5–7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system

It’s (not) all about LLMs and AI tools

A Python tutorial on how to implement oversampling and how to make custom variations

LLMs requires some subtle, conceptually simple, yet important changes in the way we think about evaluation.

From attention to gradient descent: unraveling how transformers learn from examples

Capture context and improve predictions with historical data

Transform boring default Matplotlib line charts into stunning, customized visualizations

A few words on thresholding, the softmax activation function, introducing an extra label, and considerations regarding output activation…

Step-by-step guide with example Python code

Using knowledge graphs and AI to retrieve, filter, and summarize medical journal articles

Using LLMs to create artistic representations of data