Introducing Recursion: the RL platform for enterprise specialist agents
Covering everything you need to know in order to build AI products faster.
Learn how your team can leverage Labelbox’s platform to build a powerful task-specific model to improve defect detection using image segmentation for visual inspection.
•January 22, 2024
In this guide, we’ll walk through an end-to-end tutorial on how your team can leverage Labelbox’s platform to build a powerful task-specific model to improve defect detection on pipes.
•January 18, 2024
Learn how your team can leverage Labelbox’s platform to build a task-specific model to improve building damage detection.
•January 16, 2024
AI models are increasingly getting bigger with the increase in training data and the number of parameters. For instance, the latest Open AI’s GPT-4 model is estimated to have about 1.76 trillion parameters and terabytes of training corpus. Whether training large language models (LLMs) or neural networks, the main goal remains: to train using as much data as possible. While training from diverse data and increasing the number of parameters produces powerful models, real-world application become
•January 15, 2024
The AI revolution is an unstoppable wave, with unique and more capable solutions being rolled out almost every month. These rapid developments, especially around large language models (LLMs), have been made possible by aligning models with human preferences. Reinforcement Learning from AI Feedback (RLAIF) is one of the ways of ensuring such alignments. User feedback has been incorporated into emerging AI models to improve their quality and usefulness. As a result, we have seen more capable model
The Artificial Intelligence (AI) revolution has been brought to reality with the development of systems and solutions that align with human values and preferences. Reinforcement Learning from Human Feedback (RLHF) is one such example of a system that has transformed model training and improved the accuracy and applicability of AI applications. Implementing RLHF presents a promising avenue for enhancing AI systems with human guidance. RLHF has been used to develop impressive, human-like convers
•January 8, 2024
Learn how you can leverage Labelbox’s Databricks pipeline creator to automatically ingest data from your Databricks domain into Labelbox for data exploration, curation, labeling, and much more.
•December 5, 2023
Learn how to generate human preference data for model comparison or RLHF (reinforcement learning with human feedback) with the new LLM human preference editor.
•December 1, 2023
Explore how Model Foundry enables teams to efficiently compare and select the right foundation model to kickstart LLM development, decreasing costs and accelerating time-to-value.
•November 13, 2023
Learn how to leverage Labelbox's data-centric AI platform to redefine customer care with AI and create solutions tailored to unique customer care challenges.
•November 8, 2023
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