AI & GenAI Engineering
Small Language Models
Small Language Models (SLMs) offer a cost-effective and efficient alternative to large language models (LLMs) for specific tasks. By employing techniques like distillation, quantization, and speculative decoding, SLMs can be deployed on resource-constrained infrastructure without significant performance degradation, making them crucial for production AI systems.
DistillationQuantizationSpeculative DecodingModel CompressionEdge ComputingLatency OptimizationResource Constraints
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Small Language Models - System Design Diagram
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