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Visual comparison of JSON and TOON data formats shows JSON's bloated, repetitive syntax with high token count contrasted with TOON's efficient, compact schema resulting in reduced tokens.

Visual comparison of JSON and TOON data formats shows JSON's bloated, repetitive syntax with high token count contrasted with TOON's efficient, compact schema resulting in reduced tokens.

The Efficiency Gap: Why JSON Might Be Bloating Your LLM Costs

Is JSON bloating your LLM costs? Discover TOON (Token-Oriented Object Notation), the high-efficiency alternative designed specifically for Generative AI. By decoupling schema from data, TOON can slash token usage by nearly 50% compared to standard JSON. Perfect for RAG pipelines, lowering API latency, and maximizing context windows. Check out our head-to-head code benchmark to see exactly how much syntax overhead you can eliminate today.

Nov 26, 20253 min read

LoRA: Revolutionizing Fine-Tuning for Large Language Models with Efficiency and Scalability

LoRA: Revolutionizing Fine-Tuning for Large Language Models with Efficiency and Scalability

LoRA: Revolutionizing Fine-Tuning for Large Language Models with Efficiency and Scalability

LoRA: A game-changing technique for fine-tuning LLMs like GPT-4, using low-rank matrices for efficient, scalable, and cost-effective AI.

Nov 26, 20245 min read

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