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  • Angular
  • Vue
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  • TypeScript
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Knowledge Distillation for LLMs: Techniques Explained

Learn how knowledge distillation transforms large AI models into smaller, efficient versions without sacrificing performance, enabling broader deployment.

Fine-Tuning LLMs on Imbalanced Customer Support Data

Learn how fine-tuning large language models on imbalanced customer support data can enhance performance, accuracy, and customer satisfaction.

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Training LLMs with Multilingual Customer Support Data

Explore the complexities of training multilingual LLMs using diverse support data, addressing challenges and strategies for effective deployment.

How to Benchmark LLMs with Open-Source Libraries

Learn how to effectively benchmark large language models using open-source libraries, focusing on key metrics and best practices for evaluation.

How Quantization Improves Transformer Models for Edge

Learn how quantization enhances transformer models for edge devices, improving efficiency, speed, and accuracy while reducing resource demands.