← Back to all news
Hugging Face Blog January 16, 2025

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

Read the original on Hugging Face Blog →

The Flow has not summarised this story yet — read it at Hugging Face Blog.

  • llms

One email a morning, machine-written

One email a day, machine-written, one click to leave. We never share your address.

Related stories

Hugging Face Blog
May 29, 2024

Benchmarking Text Generation Inference

benchmarks
More like this →
Hugging Face Blog
May 11, 2023

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

More like this →
arXiv AI
Jun 15

Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation

arXiv:2606. 14325v1 Announce Type: cross Abstract: Property Graphs are rapidly being adopted as database frameworks for representing heterogeneous data sources.

By Francesco Cazzaro, Jessica Lennon, Ariadna Quattoni
llmsfine-tuningbenchmarks
More like this →
arXiv AI
Aug 3

Towards the Holographic Characteristic of LLMs for Efficient Short-text Generation

arXiv:2601. 22546v2 Announce Type: replace-cross Abstract: The recent advancements in Large Language Models (LLMs) have attracted interest in exploring their in-context learning abilities and chain-of-thought capabilities.

By Shun Qian, Bingquan Liu, Chengjie Sun, Zhen Xu, Baoxun Wang
llms
More like this →
Hugging Face Blog
Jul 17, 2023

Open-Source Text Generation & LLM Ecosystem at Hugging Face

llms
More like this →
arXiv Machine Learning
Jun 16

Simplifying the Modeling of Arbitrary Conditionals in Natural Language

arXiv:2606. 14943v1 Announce Type: cross Abstract: Causal Transformers model sequences through an autoregressive factorization of the joint distribution, which enables efficient left-to-right decoding and conditional likelihood computation.

By Yinhan Lu, Eric Elmoznino, L\'eo Gagnon, Sarthak Mittal, Tejas Kasetty, Guillaume Lajoie
llmsfine-tuning
More like this →
About Pricing API Newsletter Sources Privacy Terms Refunds Accessibility Provider info Contact RSS

The Flow links to publishers and never republishes their articles. Summaries are machine-generated.

v1.0.0 · bb4ee0e