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Data Annotation for LLMs
Boost your AI models with expert data annotation for LLMs at Blue Ocean Global Technology. Enhance accuracy and performance—contact us today for tailored solutions.
What is Data
Annotation?
Data Annotation involves tagging datasets with relevant and informative labels to train machine learning algorithms and large learning models (LLMs) to understand and classify raw data.
This practice is crucial for AI model development to precisely recognize and interpret images, audio, videos, and texts. It accelerates the AI’s learning and autonomous functionality.
Why do you need Data Annotation?
Data annotation enhances AI model performance by teaching AI models to recognize patterns and predict outcomes. It enables AI to differentiate between objects accurately and prevent misidentifications, such as confusing a tree for a chair or vice versa.
How Data Annotation, or labeling, can help companies:
Impact
Research indicates that well-annotated data can boost company efficiency by up to 40 percent and increase profit margins by 5 percent to 10 percent across industries.
Quality
Clear and consistent labels lead to faster development and improved performance of AI models, including LLMs, while high-quality data annotation reduces bias in AI models.
Integrations
Help companies refine their strategies by extracting relevant information from knowledge management systems. It can also support content creation for personalized emails and brand networking.
Accuracy
Honesty and factuality training implements ethical considerations in AI models. Strict annotation guidelines and curated datasets prevent LLMs from generating misleading information. LLMs are trained with reinforcement learning and reward systems to enhance the rate of fact-based responses.
Client Engagements Include
At Blue Ocean Global Technology, we specialize in providing high-quality fine-tuning datasets and leveraging a dedicated workforce to enhance your LLM performance. Our team excels in image, video, and text annotation. We offer the following services:
Image Classification
We train AI models to identify and categorize images accurately.
Object Detection
We teach models to recognize objects in photos using bounding box annotations.
Image Captioning
We provide text annotation for images with detailed captions to improve functions like visual comprehension.
Audio Annotation
We label specific sounds such as speech, music, and background noise for better usability in speech recognition and machine learning.
Customized Labeling
We identify relevant terminology and use custom annotations for domain-specific data labeling to train AI models effectively.
How will Data Annotation help you?
Accurate annotation and labeling provide context and meaning to raw data. It enables your AI models to tackle advanced business challenges. Systematic indexing of datasets through data annotation ensures optimal results and enhances LLM Performance. Factuality training and real-time monitoring supervise an LLM’s outputs to have truthfulness and accuracy.
Case Study
OxProx
OxProx is a free public database that provides proxy data services for institutional investors. With our services OxProx was able to achieve significant improvement in its algorithm’s performance
Here’s what we achieved
Through our tailored data annotation services, OxProx’s algorithm saw a remarkable increase in efficiency, jumping from 54% to 91% in error detection.
Our AI team was able to develop 161 detailed criteria for their algorithm, improving its precision and accuracy.
From March to May, our services helped them identify 2987 proxy voting problems. Therefore, significantly reducing errors and increasing the reliability of OxProx’s system.
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