Our Services

Customizing (fine-tuning) Large Language Models (LLMs) can transform how your business leverages AI, turning general AI models into specialized systems that directly address your unique challenges. Customization means adapting the AI to understand and respond to the specific terminology, nuances, and requirements of your industry. At Labelview, we specialize in customizing Large Language Models (LLMs) to serve specific business needs effectively. This tailored approach enhances the model's accuracy and relevance for your specific domain and ensures that its outputs are aligned with your strategic goals. We specialize in fine-tuning both proprietary LLMs, like the GPT series, adhering to the specific constraints set by their providers, and open-source models. While fine-tuning open-source models often requires more effort, it allows your business to retain intellectual property rights and avoid vendor lock-in, offering long-term flexibility and a valuable return on investment.

To address your specific natural language processing (NLP) challenges, we offer tailored pipelines and models that combine the latest in large language models (LLMs), deep learning, and traditional techniques. Whether your need is for precise named entity recognition, efficient slot filling, robust text classification, or aspect-based sentiment analysis, our custom solutions are designed to meet these demands. For example, in the healthcare industry, our models can interpret clinical notes to extract vital patient information, enhancing both diagnosis and treatment processes. Financial services benefit from our models through real-time analysis of economic reports, aiding in risk assessment and compliance monitoring. Retail clients use our solutions to understand customer sentiments and preferences from reviews and social media, enabling better product recommendations and service improvements. By starting with your specific needs, we craft NLP solutions that are not only technologically advanced but also highly relevant and immediately applicable to your business context.

Leveraging years of experience in data pipelines, we design and implement tailored ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) solutions that perfectly align with your unique business needs. We don't just provide pipelines; we craft data management strategies that effectively gather, clean, and organize data from various sources, preparing it precisely for your analytical and operational demands. For a media company, this might mean developing a pipeline that consolidates viewer data across platforms, enriching and normalizing it to drive targeted content strategies. In the retail sector, we can construct a pipeline that integrates and analyzes sales, inventory, and customer feedback, optimizing logistical operations and enhancing customer engagement. Financial institutions benefit from our custom pipelines by ensuring that data flows are secure and compliant, supporting critical functions like real-time reporting and risk management. By leveraging our deep knowledge of data handling, we ensure that the data pipelines we develop are functional, scalable, secure, and efficient.

We offer comprehensive annotation services for both traditional machine learning models and LLM across various domains, utilizing advanced tools and scientific methodologies for collecting, evaluating, and expanding labels. By harnessing the expertise of cost-efficient and highly skilled annotators, we ensure precise data labeling that enhances model training and performance. Our annotation service is designed to deliver high-quality annotations, facilitating the development of robust AI systems capable of understanding and executing complex tasks with exceptional accuracy.

Poor-quality annotations can lead to significant errors in downstream models, affecting predictions and potentially leading to costly misjudgments. We leverage advanced methodologies to ensure the accuracy and quality of your data annotations. By assessing the consistency and reliability of your annotations, our service identifies discrepancies, allows for the filtering of problematic annotations, and ensures that your datasets meet the highest quality standards. This proactive approach prevents the adverse impacts of flawed data on model performance and enhances the overall efficiency of your AI applications.

In the rapidly evolving landscape of artificial intelligence, developing a strategic approach to leveraging LLMs can be a game-changer for your business. At Labelview, we provide expert advice and strategic guidance to ensure that your AI initiatives align with your overall business objectives. Our team of experts works closely with you to identify opportunities for AI integration that can drive efficiency and create new value. We help you navigate the complexities of AI technology, ensuring that your AI investments deliver measurable results and a competitive advantage.