Tag: large language models

Large language models are transforming localization by understanding context, tone, and culture - not just words. Learn how they outperform traditional translation tools and what it takes to use them safely and effectively.

Despite the rise of massive language models, tokenization remains essential for accuracy, efficiency, and cost control. Learn why subword methods like BPE and SentencePiece still shape how LLMs understand language.

Learn how embeddings, attention, and feedforward networks form the core of modern large language models like GPT and Llama. No jargon, just clear explanations of how AI understands and generates human language.

Recent-posts

The Future of Generative AI: Agentic Systems, Lower Costs, and Better Grounding

The Future of Generative AI: Agentic Systems, Lower Costs, and Better Grounding

Jul, 23 2025

Transformer Efficiency Tricks: KV Caching and Continuous Batching in LLM Serving

Transformer Efficiency Tricks: KV Caching and Continuous Batching in LLM Serving

Sep, 5 2025

Caching and Performance in AI-Generated Web Apps: Where to Start

Caching and Performance in AI-Generated Web Apps: Where to Start

Dec, 14 2025

Domain-Specialized Large Language Models: Code, Math, and Medicine

Domain-Specialized Large Language Models: Code, Math, and Medicine

Oct, 3 2025

How Finance Teams Use Generative AI for Smarter Forecasting and Variance Analysis

How Finance Teams Use Generative AI for Smarter Forecasting and Variance Analysis

Dec, 18 2025