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Generative AI
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Generative AI Data Annotation Services
Our services provide precisely labeled training data to support your generative AI applications in generating fresh and relevant content consistently. By combining human input with generative AI, we ensure a harmonious blend of technology and human oversight. With a keen understanding that the accuracy of generative AI models relies on meticulously labeled and annotated training datasets, we infuse a human touch into the curation and preparation of your datasets.
//Generative AI
OUR GENERATIVE AI SERVICES
DataSum
We prioritize equity and responsible use in deploying your AI algorithms. Our data is ethically sourced, alleviating the tension between competitive advantage and responsible data acquisition. DataSum establishes a pioneering benchmark in data management, guaranteeing compliance, reliability, and efficacy.
Enterprise Data Labeling Services (EDLS)
We provide cost-effective, scalable, enterprise-level data labeling solutions, enabling organizations to save time and concentrate on core priorities. Recognizing that the effectiveness of your LLMs hinges on their training data, our proficiency in natural language processing and computer vision ensures that your AI models can effectively handle multimodality.
Red Teaming
Our Red Teaming Service goes beyond conventional approaches to identify potential threats within your large language models. We delve deeply into real-world scenarios that could compromise the integrity of your AI applications. We prioritize the optimal, efficient, and responsible operation of your AI application through meticulous steps and measures.
Reinforced Learning from Human Feedback (RLHF)
RLHF ensures that your large language models (LLMs) are free from bias and aligned with user preferences. This technology is widely adopted by businesses and organizations for various applications including natural language production, question answering, sentiment recognition, computer programming, and language translation. RLHF empowers your AI models to make informed decisions by seamlessly integrating human insights and reinforcement learning techniques.
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