LLMs-Zhuoseveral Technology Co., Ltd.

Consistency

Updated Rules

Resources and Training

Tool Optimization

Completeness

Features of CREATION

Limited Room for Creative Work

For example, comments or summaries need to provide a certain amount of creativity based on strict requirements such as format, word count, and wording type. The characteristic is that there is little room for creativity, and other fixed requirements need to be strictly followed.

Creative Work with More Room

For example, writing scenarios. The client only provides intentions and desired goals, without any other restrictions. Another example is Q&A dialogue created for ChatGPT training. Provide a few format and theme requirements and create Q&A dialogue. The characteristic is that it requires research on client expectations and has high resource requirements.

Supported NLP Task type

Through collaborations with global professionals, we stay at the forefront of advancements in natural language processing. This enables us to provide customers with tailored solutions that accurately capture the nuances and complexities of different languages, enabling seamless communication and understanding on a global scale.

Named Entity Recognition (NER)

Sentiment Analysis

Search Relevance

Part-of-Speech Tagging (POS)

Text Classification

Intent Recognition

Semantic Role Labeling (SRL)

Coreference Resolution

Text Abstract

Intelligent Q&A

Paraphrase

Prompt-completion

Text Summarization

Creative projects

LLMs

WHAT'S NEW

The implementation of large language model (LLM) technology poses data challenges for enterprises. At OSDT, we provide a comprehensive LLM data process that addresses these challenges and delivers high-quality, tailored data for your LLM application. This empowers you to provide exceptional and unparalleled experiences to your esteemed customers, differentiating your organization in the competitive market.

LLMs project overview

WHAT'S NEW

Domain-specific data plays a critical role in customizing foundation models to specific use cases. Our process involves refining the model to adapt to the unique requirements of domains such as finance, healthcare, e-commerce, and more. By incorporating domain-specific data, we ensure that the model's responses align with the specific context and tone, resulting in accurate, coherent, and contextually appropriate outputs.

Models by Domain

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