NVIDIA's TensorRT-LLM: Building Powerful RAG Apps! (Opensource)

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  • Опубліковано 13 бер 2024
  • In this video, we will be taking a looking at NVIDIA's TensorRT-LLM and how it streamlines the deployment and optimization of LLMs for diverse inference tasks, especially in desktop applications.
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    [Link's Used]:
    TensorRT-LLM Github Repo: github.com/NVIDIA/TensorRT-LL...
    TensorRT Github Repo: github.com/pytorch/TensorRT
    RAG App Example Demo: github.com/NVIDIA/trt-llm-rag...
    Demo Video: / 1
    Blog Post on Accelerating Inference with TensorRT: developer.nvidia.com/blog/acc...
    Blog Post on Supercharging LLM Applications on Windows PCs with NVIDIA RTX Systems: developer.nvidia.com/blog/sup...
    Guide on TensorRT: developer.nvidia.com/tensorrt...
    TensorRT-LLM Docs: nvidia.github.io/TensorRT-LLM/
    Unravel the depths of TensorRT-LLM as we explore its user-friendly Python API, designed for seamlessly defining LLMs and constructing TensorRT engines. Learn how TensorRT-LLM incorporates state-of-the-art optimizations tailored for efficient inference on NVIDIA GPUs, enhancing performance and scalability. Discover the Python and C++ runtimes offered by TensorRT-LLM, enabling smooth execution of inference tasks with the generated TensorRT engines.
    Dive into the significance of model quantization supported by TensorRT-LLM, a pivotal feature ensuring compatibility with PC GPUs while minimizing memory footprint. Explore the functionalities of the TensorRT-LLM Quantization Toolkit and its role in optimizing LLMs for enhanced performance. Gain valuable insights into how TensorRT-LLM empowers developers to navigate the complexities of LLM inference with ease, unlocking new possibilities in natural language processing and beyond.
    Don't miss out on harnessing the potential of NVIDIA TensorRT-LLM! Hit the like button, subscribe to our channel for more insightful content, and share this video with your peers to spread knowledge and expertise.
    Additional Tags and Keywords:
    NVIDIA TensorRT, Large Language Model, LLM Inference, TensorRT Engine, Python API, GPU Optimization, Model Quantization, Desktop Applications, Natural Language Processing
    Hashtags:
    #NVIDIATensorRT #largelanguagemodels #LLMInference #TensorRTEngine #GPUOptimization #ModelQuantization #DesktopApplications #naturallanguageprocessing, NVIDIA
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КОМЕНТАРІ • 7

  • @intheworldofai
    @intheworldofai  3 місяці тому +1

    💓Thank you so much for watching guys! I would highly appreciate it if you subscribe (turn on notifcation bell), like, and comment what else you want to see!
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  • @intheworldofai
    @intheworldofai  3 місяці тому

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    @intheworldofai  3 місяці тому

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  • @DOOM11777
    @DOOM11777 3 місяці тому +3

    No sound during the demo wtf

  • @intheworldofai
    @intheworldofai  3 місяці тому

    [MUST WATCH]:
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  • @user-lc1vg9gj6m
    @user-lc1vg9gj6m 3 місяці тому

    thanks bro I subscribed

  • @AtillaDeniz-nr1qb
    @AtillaDeniz-nr1qb 3 місяці тому

    First!