AI/ML Techniques

Attention May Be All We Need… But Why?

A lot (if not nearly all) of the success and progress made by many generative AI models nowadays, especially large…

3 months ago

Creating a Secure Machine Learning API with FastAPI and Docker

Machine learning models deliver real value only when they reach users, and APIs are the bridge that makes it happen.

3 months ago

Zero-Shot and Few-Shot Learning with Reasoning LLMs

As large language models have already become essential components of so many real-world applications, understanding how they reason and learn…

3 months ago

Automate Dataset Labeling with Active Learning

A few years ago, training AI models required massive amounts of labeled data.

3 months ago

7 Emerging Trends in Generative AI and Their Real-World Impact

Generative AI continues to rapidly evolve, reshaping how industries create, operate, and engage with users.

3 months ago

5 Problems Encountered Fine-Tuning LLMs with Solutions

Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve…

3 months ago

Advanced Techniques to Build Your RAG System

This post is divided into three parts; they are: • Query Expansion and Reformulation • Hybrid Retrieval: Dense and Sparse…

3 months ago

10 Python One-Liners for Machine Learning Modeling

Building machine learning models is an undertaking which is now within everyone’s reach.

3 months ago