10 Python One-Liners for Calculating Model Feature Importance
Understanding machine learning models is a vital aspect of building trustworthy AI systems.
7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
Large language models (LLMs) exhibit outstanding abilities to reason over, summarize, and creatively generate text.
7 Machine Learning Projects to Land Your Dream Job in 2026
machine learning continues to evolve faster than most can keep up with.
7 Advanced Feature Engineering Tricks for Text Data Using LLM Embeddings
Large language models (LLMs) are not only good at understanding and generating text; they can also turn raw text into numerical representations called embeddings.
The Complete Guide to Model Context Protocol
Language models can generate text and reason impressively, yet they remain isolated by default.
10 Python One-Liners for Generating Time Series Features
Time series data normally requires an in-depth understanding in order to build effective and insightful forecasting models.
The Complete Guide to Pydantic for Python Developers
Python’s flexibility with data types is convenient when coding, but it can lead to runtime errors when your code receives unexpected data formats.
The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models
Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter models run on consumer GPUs.
5 Advanced Feature Engineering Techniques with LLMs for Tabular Data
In the epoch of LLMs, it may seem like the most classical machine learning concepts, methods, and techniques like feature engineering are no longer in the spotlight.
7 Must-Know Agentic AI Design Patterns
Building AI agents that work in production requires more than powerful models.