Build and leverage AI systems with superior human knowledge, intuition and learned experience.
We leverage advanced platforms, including generative AI, to enhance your AI projects and support your goals efficiently. With our seamless integration of a diverse team and rapid machine-driven labeling system, we provide high-quality data that yields exceptional results.
Create exceptional image generative models using premium human-generated data.
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Elevate the performance of your language models by incorporating valuable human insights.
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Generate training data of impeccable quality, ensuring pixel-perfection to address and fulfill your CV data requirements seamlessly.
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Safeguard your platforms, communities, and generative models with our text analytics and advanced AI-powered content moderation.
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At TDCX, we have a team of 50 experts specializing in AI, machine learning, robotic process automation and data science that help our clients unlock the power of AI in their business. Our experts are at your service to help implement AI solutions at scale while respecting the most stringent levels of data compliance and security.
We leverage tools that deliver unparalleled precision and scalability. These tools integrate advanced machine learning algorithms with human expertise to ensure meticulous data labeling for training AI models. They excel in diverse annotation tasks, from image segmentation to natural language processing, producing robust and accurate models.
We are dedicated to guaranteeing the utmost security and data privacy for our customers. Consequently, we have implemented ISO-certified measures that surpass industry standards in our security protocols. Our comprehensive security program is meticulously crafted to defend customer data, ensuring the confidentiality, integrity, and availability of information across all our systems.
Curation
Curate and generate image data tailored for training expansive image models. Educate your model to comprehend subjective criteria, including aesthetics, artistic intent, and contextual nuances.
Image Caption
Identify and enhance captions that are overly literal or generic, generated by your model. Express the distinctiveness and emotional resonance of images in alignment with your brand's unique tone of voice.
Ranking
Assess the compatibility of generated output with our workforce to ensure precise alignment. Our labeling experts will help rank the output generated by your model, providing valuable input for refining and optimizing your generative AI system.
Pre-Training
We meticulously go through the process of selecting, organizing, and refining your dataset to ensure its quality, relevance, and accuracy. This includes identifying and rectifying errors, handling missing data, and preparing the dataset for optimal use in training machine learning models.
RLHF
Reinforcement Learning from Human Feedback (RLHF) is effectively implemented by iteratively refining your initial model based on human feedback. We have developed a unique level of expertise that allows us to deliver optimal levels of accuracy.
Evaluation
Gain a comprehensive understanding of your conversational AI's performance by blending quantitative metrics, human insight, and various evaluation scenarios. We will refine the output, from addressing inaccuracies to verifying results and ensuring high quality in real-world applications.
Object Detection
We will support you on precisely identifying and delineating objects within an image. This involves employing techniques such as bounding boxes and polygons to outline the distinct boundaries of identified objects. Additionally, the process includes pre-labels validation to ensure accuracy and reliability in the identification of objects, providing a robust foundation for various applications, from computer vision tasks to advanced image analysis.
Segmentation
We can partner with you on various segmentation needs. With semantic segmentation we classify each pixel into meaningful categories, providing a comprehensive understanding of the image's content. With instance segmentation we further distinguish individual instances of objects within each category. With panoptic segmentation we seamlessly combine both semantic and instance segmentation, offering a holistic view of the scene.
Classification
This is where we organize and understand the data, involving the assignment of labels and attributes to categorize information effectively. In multi-modal classification, diverse data types are considered, allowing for a more comprehensive analysis. Model validation ensures the accuracy and reliability of the classification models, validating their effectiveness.
Contextual Understanding
While AI can identify patterns and certain content categories, our expert moderators excel in deciphering ever-evolving complex nuances, cultural context, and sarcasm. Human intervention is crucial to interpret content that may be contextually acceptable or to discern the subtleties that automated systems need to be continuously trained on to remain relevant.
Handling Ambiguity and Edge Cases
Expert moderators will supplement your AI models to help overcome limitations in dealing with ambiguous or edge cases where content may be borderline acceptable or fall into a gray area. Our expert moderators will navigate these situations and make decisions based on evolving societal norms and address situations where automated systems may struggle due to lack of clarity or changing cultural dynamics.
Continuous Model Improvement
Ultimately, our expert moderators will contribute significantly to the iterative improvement of AI models. They will provide feedback on false positives or false negatives, helping refine machine learning algorithms. The insights they will provide are invaluable for training models to adapt to emerging trends, new forms of content, or evolving user behaviors. By actively engaging in the feedback loop, our expert moderators will contribute to the ongoing enhancement of your AI-powered content moderation.
