Product Introduction

ZeroSearch revolutionizes how large language models handle search tasks. This innovative framework eliminates the need for expensive search API calls by transforming LLMs into self-sufficient retrieval systems. Through reinforcement learning and smart training techniques, it achieves better performance than traditional search-dependent models while keeping costs at zero.

Key Features

• Reinforcement learning optimizes document retrieval accuracy
• Supervised fine-tuning adapts models for specific search needs
• Zero API costs - operates independently from commercial search engines
• Curriculum rollout mechanism gradually improves model reasoning
• Compatible with LLMs of various sizes and architectures
• Supports multiple reinforcement learning algorithms
• Ideal for academic research, market analysis, and code documentation

Product Data

• Framework type: Reinforcement learning for LLMs
• Training requirement: Supervised fine-tuning with custom datasets
• Compatibility: Works with most modern large language models
• Cost structure: No ongoing API fees or usage charges
• Implementation: Requires Python environment and basic ML setup

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