Nieuws

GitHub1 j
understanding-of-LLM-Encoder-and-decoder-model-
An Encoder-Decoder model is a fundamental architecture in the field of deep learning and natural language processing (NLP). It's widely used for a variety of tasks, including machine translation, text ...
GitHub1 j
Issues: Mahesh3394/understanding-of-LLM-Encoder-and-decoder-model-
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Issues are used to track todos, bugs, feature requests, and more.
marktechpost1 j
LLM2Vec: A Simple AI Approach to Transform Any Decoder-Only LLM into a Text Encoder Achieving SOTA Performance on MTEB in the Unsupervised and Supervised Category
unsupervised method to convert any pre-trained decoder-only LLM into a text encoder. LLM2Vec is very data and parameter-efficient and does not require any labeled data. There are three simple steps in ...
IEEE1 j
Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization
Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection. However, the widely used multiple encoders and single decoder (MESD) as well as dual ...
GitHub24 j
NASA-IMPACT/LLM-cookbook-for-open-science
To quickly get started in using the patterns, replace the [placeholders ... model is different from fine-tuning a decoder model both in terms of the process and the use cases they are best suited for.
blockchain6mnd
NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
NVIDIA has announced a significant update to its open-source library, TensorRT-LLM, which now includes support for encoder-decoder model architectures with in-flight batching capabilities. This ...