The Future of Serverless Inference for Large Language Models
Unite.AI
JANUARY 26, 2024
Approaches to overcome this generally fall into two main categories: Model Compression Techniques These techniques aim to reduce the size of the model while maintaining accuracy. Recent advances in large language models (LLMs) like GPT-4, PaLM have led to transformative capabilities in natural language tasks. This reduces memory footprint.
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