Deploying LLMs in Production - Deepstash

Deploying LLMs in Production

  • Practical deployment considerations include managing API costs and ensuring model efficiency
  • Steps like quantization and pruning optimize performance, making production more cost-effective

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gbiondizoccai

Giuseppe Biondi-Zoccai is a renowned expert in cardiology, medical research methodology and evidence synthesis

Sinan Ozdemir's Quick Start Guide to Large Language Models provides essential strategies for using, fine-tuning, and deploying LLMs like ChatGPT. With a focus on prompt engineering, semantic search, and secure deployment, it empowers readers to leverage LLMs effectively, making it an invaluable resource for maximizing AI applications across industries

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