Azerion Launches GenAI Contextual Intelligence
Azerion’s Contextual Intelligence harnesses the power of transformer models and the latest advancements in text vectorisation to deliver unparalleled content classification capabilities.
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Azerion, a digital entertainment and media platform, announced the launch of its innovative Contextual Intelligence technology within the Azerion Marketplace. This cutting-edge solution leverages genAI and Large Language Models (LLM), alongside advanced transformer techniques, to classify content from URLs into precise, actionable segments. This development marks a significant advancement in digital advertising and contextual targeting, enabling more effective campaigns and curated deals for our partners.
In recent years, the digital landscape has been revolutionised by the integration of AI technologies. Azerion’s Contextual Intelligence harnesses the power of transformer models and the latest advancements in text vectorisation to deliver unparalleled content classification capabilities. By employing sentence-transformers and sophisticated taxonomy representation methods, Azerion has developed a robust system that ensures accurate and reliable classification of web content into various taxonomies.
This strategic initiative comes at a crucial time, especially following Oracle’s decision to shut down its contextual advertising offering. The market has been eagerly seeking an alternative, and Azerion’s state-of-the-art technology steps in to fill this void.
Technology Highlights:
- GenAI and Large Language Models (LLM): Utilising advanced AI techniques, Azerion’s system generates detailed descriptions and keyword lists for each label within a taxonomy, ensuring precise content classification.
- Transformers and Text Vectorisation: The technology employs the latest transformer models to vectorise text, significantly enhancing the accuracy and efficiency of content classification.
- Vector Search: Azerion’s solution incorporates advanced vector search capabilities, enabling rapid and precise search and retrieval of text embeddings. This ensures that content is accurately classified by finding the most relevant vectors quickly and efficiently.
- Taxonomy Representation: By leveraging LLM-generated documents, the system creates a comprehensive representation of each label within multiple taxonomies, facilitating more accurate and reliable classification.
“We are thrilled to introduce Azerion’s Contextual Intelligence to our marketplace,” said Daan Boekestein, Chief Technology Officer at Azerion. “In the wake of Oracle’s exit from the contextual advertising space, our technology not only provides a much-needed solution but also sets a new standard in the industry. We are confident that this advancement will drive significant value for our partners and revolutionise the way digital advertising is executed.”