LLM Labeling

Our Solution

Data cleaning and Extraction

Get clean, high-quality data where issues like missing or inconsistent entries, duplicates, and irrelevant information are identified and rectified. Extract meaningful structured information, such as entities, attributes, relationships, and events, from unstructured or semi-structured text. Benefit from data that's converted into a format optimized for storage, retrieval, and analysis, thereby uncovering hidden knowledge and patterns within your text.

Data annotation

Obtain high-quality multi-turn dialogue datasets, tailored to various application scenarios and tasks. Benefit from diverse evaluation methods and metrics that assess the continuous dialogue capabilities of smart chatbots. Gain confidence in the chatbot's ability to assist users in acquiring information or services and resolving their issues through these evaluations.

RLHF

It is being used by many businesses and organizations for natural language production, question answering, sentiment recognition, computer programming, and language translation. RLHF enables your AI models to take decisions through integration of human insight and reinforcement learning.

LLM Model Fine-tuning

Monitor quality in deployed applications and models that are aligned to meet specific business requirements. Utilize a consistent benchmark for performance comparison, examining key metrics such as precision, recall, or F1 score across varied models. Get continuous improvement through objective feedback and expedited fine-tuning of pre-existing LLM models for swift, effective, and human-like responses.

LLM labeling service