Token-efficient semantic compression for numerical data. 95%+ token reduction.
Token-efficient semantic compression for numerical data. Semantic Frame converts raw numerical data (NumPy, Pandas, Polars) into natural language descriptions optimized for LLM consumption. Instead of sending thousands of data points to an AI agent, send a 50-word semantic summary. LLMs are terrible at arithmetic. When you send raw data like to GPT-4 or Claude: Token waste: 1000 data points =…
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Token-efficient semantic compression for numerical data. Semantic Frame converts raw numerical data (NumPy, Pandas, Polars) into natural language descriptions optimized for LLM consumption. Instead of sending thousands of data points to an AI agent, send a 50-word semantic summary. LLMs are terrible at arithmetic. When you send raw data like to GPT-4 or Claude: Token waste: 1000 data points = ~2000 tokens Hallucination risk: LLMs guess trends instead of calculating them Context overflow: Large…
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