Artificial Intelligence
Integrating LLMs: Patterns That Hold Up in Production
Practical patterns for reliable, cost-efficient LLM features: prompt engineering, streaming, structured outputs, fallbacks and cost management.
·3 min read
Tags
AI
19 articles · Page 1 of 2
Artificial Intelligence
Building AI-Powered Code Review Assistants with LLM APIs
Build a code review assistant that hooks into CI, uses LLM APIs to scan pull requests for bugs, style and security issues, and comments on the PR.
·4 min read
Artificial Intelligence
Building RAG Systems That Actually Work
A practical guide to production RAG that returns grounded answers: embedding strategies, vector database choice, chunking, reranking and evaluation.
·5 min read
Artificial Intelligence
Fine-Tuning Language Models on Domain-Specific Data
Fine-tune language models on your domain with parameter-efficient LoRA and QLoRA: dataset preparation, training strategies and evaluation, on a small budget.
·5 min read
Artificial Intelligence
Retrieval-Augmented Generation: RAG Pipelines That Work
Build effective RAG pipelines in TypeScript: document chunking, embeddings, vector search tuning, prompt construction and retrieval-quality evaluation.
·5 min read
Artificial Intelligence
Prompt Engineering Patterns for Production Applications
Systematic prompt engineering for production LLM applications: structured output extraction, chain-of-thought, few-shot calibration, versioning and evals.
·5 min read
Artificial Intelligence
Vector Database Selection Guide for AI Applications
Compare Pinecone, Weaviate, Qdrant, Milvus and pgvector for AI applications: indexing strategies, query performance, filtering and operational complexity.
·4 min read
Artificial Intelligence
Building Evaluation Frameworks for LLM Applications
Design evaluation pipelines for LLM applications: automated metrics, human evaluation protocols, regression tests, prompt versioning and monitoring.
·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