LongAlign
Long Context Aligner
A framework for training and evaluating large language models on long context inputs
[EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs
230 stars
8 watching
15 forks
Language: Python
last commit: 2 months ago alignmentllmlong-contextlongtext
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source project that enables the transfer of language understanding to vision capabilities through long context processing. | 347 |
| A large language model pre-trained on Chinese and English data, suitable for natural language processing tasks. | 43 |
| An open-source implementation of a vision-language instructed large language model | 513 |
| A benchmark suite for evaluating the ability of large language models to operate as autonomous agents in various environments | 2,272 |
| Tool for aligning and integrating spatially resolved transcriptomics data using machine learning algorithms | 29 |
| An open bilingual LLM developed using the LingoWhale model, trained on a large dataset of high-quality middle English text, and fine-tuned for specific tasks such as conversation generation. | 134 |
| A benchmark for evaluating large language models in multiple languages and formats | 93 |
| A pre-trained Chinese language model based on the Transformer-XL architecture. | 218 |
| A plugin for aligning bilingual parallel texts by re-positioning text and applying highlighting. | 7 |
| This project develops an AI model for long-term video understanding | 254 |
| Automates the process of extracting parallel sentences from comparable corpora to aid in statistical machine translation | 127 |
| Enables alignment of word embeddings across multiple languages to facilitate cross-lingual text analysis and machine learning tasks | 99 |
| Aligns large multimodal models with human intentions and values using various algorithms and fine-tuning methods. | 270 |
| An API that provides a unified interface to multiple large language models for chat fine-tuning | 79 |
| A benchmarking framework for large language models | 81 |