Artificial Intelligence
Fine-Tuning Language Models for Domain-Specific Tasks
A practical guide to fine-tuning language models on domain data: dataset preparation, training strategies, evaluation and production deployment.
·5 min read
Categories
Artificial Intelligence
Models & integrations · 28 articles · Page 2 of 3
Artificial Intelligence
Building Production-Ready RAG Pipelines with LangChain
Design retrieval-augmented generation pipelines that go beyond demos: chunking strategies, embedding optimization, reranking and evaluation metrics.
·5 min read
Artificial Intelligence
Responsible AI: Bias Detection and Mitigation
Learn practical techniques for detecting and mitigating bias in machine learning pipelines, from data collection through model deployment and monitoring.
·6 min read
Artificial Intelligence
Federated Learning: Training Models Without Sharing Data
Federated learning concepts, implementation patterns and the practical challenges of training models across distributed devices while preserving privacy.
·6 min read
Artificial Intelligence
Anomaly Detection for Application Monitoring
Anomaly detection for application metrics: statistical methods, z-scores, moving averages, seasonal decomposition and alerting without alert fatigue.
·5 min read
Artificial Intelligence
Generative AI for Code Review Automation
How to bring LLMs into code review: automated review bots, prompt patterns for catching bugs, security analysis, and where human judgment still wins.
·5 min read
Artificial Intelligence
Vector Databases and Similarity Search
A practical guide to vector databases for similarity search: embeddings, indexing strategies, distance metrics, and choosing between the main options.
·5 min read
Artificial Intelligence
NLP Pipelines for Production Applications
How to build production-ready NLP pipelines: text preprocessing, tokenization, embeddings, classification and entity extraction in TypeScript and Python.
·5 min read
Artificial Intelligence
Building a Recommendation Engine: The Basics
A practical introduction to recommendation systems: collaborative filtering, content-based filtering and hybrid approaches, implemented in TypeScript.
·4 min read
Artificial Intelligence
The Transformer Architecture Explained for Developers
A developer-friendly walkthrough of the Transformer architecture behind GPT, BERT and modern LLMs: self-attention, positional encoding, encoder-decoder.
·5 min read
Artificial Intelligence
Reinforcement Learning Basics for Software Developers
A practical introduction to reinforcement learning — agents, environments, rewards and policies — with TypeScript examples grounded in familiar problems.
·4 min read
Artificial Intelligence
Introduction to Computer Vision with Python
A beginner-friendly guide to computer vision with Python and OpenCV: image processing, edge detection, object detection and a practical image classifier.
·4 min read