While working on research and analysis capabilities for my personal project, I started to dive into the possibility of automating further the generation of what needs to be done in order to reach a particular objective.
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.
In our previous discussion, we explored the versatility of the Solver API in solving complex decision-making problems. Now, let’s dive deeper into a specific scenario: prioritizing tasks within an organization by considering multiple dynamic factors. By harnessing the Solver API’s power, businesses can not only streamline task allocation but also adapt in real-time to changing […]
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. […]
One approach to answering user inquiries with LLMs and reference material is called Retrieval Augmentation Generation, RAG for short. While RAG can serve in a multitude of question/answering scenarios, it can fall short in certain situations. A common challenge in conversation-based applications that leverages Large Language Models is constraining responses to a valid set of […]
In today’s fast-paced world, dealing with unstructured text data can be a daunting task, especially when you need to extract valuable insights or validate specific information. Whether you’re managing product catalogs or verifying expense reports, ensuring data accuracy is essential. That’s where a custom-built API can come to the rescue. In this blog post, we’ll […]
There you go! A bit more technical details about the extraction pipeline covered in the introductory article When you need more than layout specific extraction. High Level Process Extract Text Content and Layout In order for extraction to be performed, you need to extract the text content if the source is an image. When doing […]
Over the last few years, I had the opportunity to be involved in multiple projects revolving around extracting structured information out of unstructured or semi-structured content. I was able to experiment with different tools with each their own advantages and drawbacks. At the beginning of 2023, I embarked on a new personal adventure with the […]
