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The official implementation of MarineGPT
The main features of hkust-vgd/marinegpt are: Domain Specific Models, Industry Specific Models.
Projects with overlapping indexed features include: davendw49/k2 — Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization"… pharmolix/openbiomed. lancopku/pkuseg-python — pkuseg-python is a Chinese word segmentation toolkit and natural language processing library. It provides specialized… microsoft/lmops — LMOps is a research-driven operations framework for optimizing the deployment, fine-tuning, and performance of large… nlpxucan/wizardlm — WizardLM is a large language model and instruction-tuning framework designed to execute sophisticated coding,… marqo-ai/marqo — Marqo is an ecommerce product discovery platform, multimodal vector database, and AI search merchandising tool. It…
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
LMOps is a research-driven operations framework for optimizing the deployment, fine-tuning, and performance of large language models. It provides a specialized toolkit for foundation model adaptation, inference acceleration, prompt optimization, and context orchestration. The framework distinguishes itself through an inference accelerator that reduces token generation latency by verifying and copying overlapping text spans from reference documents. It also features a prompt engineering optimizer that employs reinforcement learning, beam search, and non-natural language markers to automaticall
pkuseg-python is a Chinese word segmentation toolkit and natural language processing library. It provides specialized models for splitting Chinese text into words across various domains, including news, medical, and web content, and includes a tool for assigning grammatical parts of speech tags to segmented words. The library allows for the training of custom segmentation models using annotated datasets and supports the integration of user-defined dictionaries to ensure specialized terminology is recognized correctly. It employs a multi-threaded execution engine to process large volumes of Ch
