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Hugging Face enhances Text Generation Inference with multi-backend and assisted generation

Hugging Face has enhanced its Text Generation Inference (TGI) tool by introducing support for multiple backends, including TensorRT-LLM and vLLM. This update aims to improve performance and flexibility for users deploying large language models. Additionally, Hugging Face is exploring new techniques like assisted generation to further reduce latency in text generation tasks. AI

RANK_REASON Hugging Face released updates to its Text Generation Inference tool, including new backend support and performance improvements.

Read on Hugging Face Blog →

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Hugging Face enhances Text Generation Inference with multi-backend and assisted generation

COVERAGE [4]

  1. Hugging Face Blog TIER_1 English(EN) ·

    Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference

  2. Hugging Face Blog TIER_1 English(EN) ·

    Benchmarking Text Generation Inference

  3. Hugging Face Blog TIER_1 English(EN) ·

    Assisted Generation: a new direction toward low-latency text generation

  4. Hugging Face Blog TIER_1 English(EN) ·

    How to generate text: using different decoding methods for language generation with Transformers