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deep-learning-techniques

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ksm26 / Efficiently-Serving-LLMs

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Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

text-generation batch-processing server-optimization model-serving model-acceleration inference-optimization optimization-techniques machine-learning-operations deep-learning-techniques model-inference-service performance-enhancement scalability-strategies serving-infrastructure large-scale-deployment
  • Updated Apr 12, 2024
  • Jupyter Notebook

ksm26 / Serverless-LLM-apps-with-Amazon-Bedrock

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The course equips you with the skills to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.

audio-analysis cloud-computing automatic-speech-recognition audio-processing natural-language-understanding event-driven-architecture audio-analysis-tasks deep-learning-techniques event-driven-architectures aws-generative-ai serverless-technology transcription-services aws-lambda-serverless-framework
  • Updated Feb 27, 2024
  • Jupyter Notebook

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