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Enhancing User Inquiry Responses: A New Multi-Task Planning Approach

A multi-task planning approach to tackle high-level user inquiries was developed, ensuring comprehensive and contextually accurate responses. By breaking down complex questions into detailed tasks, deriving specific questions, and thoroughly querying reference materials, we provide users with the precise information they need. Discover how this new method enhances the quality of answers, exemplified by an inquiry about credit card benefits for mobile phone damage.

Mathieu Isabel 
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Improving Unstructured Data Extraction Capabilities

These updates now support full JSON object definitions, allowing for more complex and structured data representation. Additionally, our enhanced inference logic ensures more accurate extraction of intricate data structures. Whether it’s extracting detailed flight information from a boarding pass or capturing complex data points from unstructured content, these enhancements provide unparalleled accuracy and efficiency in data extraction.

Mathieu Isabel 
Technology

Content Analyzer Updates – Content Q&A Support and More…

The Content Analyzer now offers advanced features to streamline content analysis, including question answering, PDF content ingestion, granular analysis criteria, data extraction, and proposal generation. It uses natural language processing to answer queries, extract data from PDFs, and generate actionable recommendations. These enhancements make it a powerful tool for analyzing unstructured data and driving informed decision-making.

Mathieu Isabel 
Uncategorized

Dynamic Structuring of Content Analysis

While working on the next evolution of how content is processed on my personal project with Dretza, I had to design and build new APIs to assist in that area. These APIs offer powerful capabilities for generating assertions, determining critical aspects for content reviews and automate the content analysis process itself. There was also a […]

Mathieu Isabel 
Technology

A New Era of LLM-Powered Negotiations

Introduction In a world increasingly captivated by the potential of AI, Microsoft’s recent framework, AutoGen, stands out. AutoGen revolutionizes how we view and interact with large language models (LLMs). It’s not just an advancement; it’s a gateway to a new dimension where AI entities, known as agents, can communicate among themselves to solve complex tasks. […]

Mathieu Isabel