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Multimodal AI Models – Part 1: Exploring Datasets for Training

Explore how ɫ��Ƶ's advanced training and evaluation data empowers Multimodal AI, integrating image, video, speech, and text for superior cognitive capabilities.

Improve Enterprise Data Retrieval with ɫ��Ƶ's New Build My RAG Feature

Unlock the potential of ɫ��Ƶ's new "Build My RAG" feature in our AI Data ɫ��Ƶ. This capability simplifies creating high-quality Retrieval Augmented Generation (RAG) models by leveraging your enterprise's knowledge bases.

Expert Human Intervention: The ɫ��Ƶ Advantage in RAG Optimization

Discover how human oversight in Retrieval-Augmented Generation (RAG) systems enhances AI performance. Learn about core RAG components, the importance of chunk optimization, and how ɫ��Ƶ's AI Data ɫ��Ƶ ensures accurate, context-aware responses

Striking the Balance: Leveraging Human Intelligence with LLMs for Cost-Effective Annotations

Read this blog post where we discuss an experiment that used model uncertainty, as indicated by LLM uncertainty, to inform the allocation of annotation work.

RAG Optimization: Unlocking Success through Data Enhancement

Get a deeper understanding of the data preparation processes and considerations for building effective RAG architectures at an enterprise scale.

Large Language Model (LLM) Red Teaming: Crowdsourcing the Path to Safer AI

Learn how ɫ��Ƶ can help the AI community address this challenge with human-in-the-loop approaches, ensuring LLM development and deployment adhere to the highest standards.