Tag: reasoning models

Explore the cost implications of think tokens in reasoning models like OpenAI o1 and DeepSeek-R1. Learn when to use these expensive LLMs, how to manage inference-time scaling costs, and strategies to optimize your AI budget for 2026.

Recent-posts

How Next-Gen LLMs Actually Follow Instructions: From RLHF to AutoIF

How Next-Gen LLMs Actually Follow Instructions: From RLHF to AutoIF

May, 16 2026

Prompt Length vs Output Quality: Why Shorter Prompts Often Win in LLMs

Prompt Length vs Output Quality: Why Shorter Prompts Often Win in LLMs

May, 3 2026

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Chunking Strategies That Improve Retrieval Quality for Large Language Model RAG

Dec, 14 2025

Understanding Positional Encodings in Transformer-Based Large Language Models

Understanding Positional Encodings in Transformer-Based Large Language Models

Jun, 12 2026

Data Privacy for Large Language Models: Principles and Practical Controls

Data Privacy for Large Language Models: Principles and Practical Controls

Jan, 28 2026