Metatext

Metatext is an AI-powered tool that specializes in the classification and extraction of information from text and documents using custom-trained Large Language Models (LLMs). It's meticulously created to solve various domain-specific problems such as classifying customer emails, extracting crucial terms from legal contracts, and summarizing particular format reports. Metatext provides users the luxury of effortlessly fine-tuning models via a no-code interface, which allows distilling of their da

Metatext operates through a user-friendly, no-code interface. This interface allows users to easily distill their data into private, scalable, custom models. Through a few clicks and inputs, users can train models with less data and annotation time, evaluate them for trustworthiness, and deploy them efficiently.

Yes, Metatext is absolutely capable of performing Multi-label and Sentiment classifications. It provides users with the ability to classify their text in a multitude of ways, including Binary, Multi-class, Multi-label, Sentiment, Topic, or Intent classifications.

Metatext harbors the capability of text generation by allowing its users to fine-tune LLMs according to their domain. This characteristic is especially valuable for tasks such as Question & Answering or crafting chatbots. With less data and annotation time, models can be conveniently trained, thus facilitating text generation.

Metatext offers a wide array of integration options. It can be smoothly incorporated into your systems through different means including an API, Zapier, Google Sheets, Docker, AWS, and Hugging Face. This allows for the effortless deployment of trained models.

Metatext can be utilized in various business sectors such as customer support, finance, healthcare, HR, and more. Its flexibility and multi-faceted functionality allow it to cater to the unique requirements of these different sectors - from automating customer support processes to analyzing market sentiment in finance.

Metatext analyzes and classifies customer emails using specialized LLMs. These models assist in sorting emails into different categories, such as queries, complaints, requests, and more. This makes handling and responding to customer email much more efficient and accurate.

Metatext employs AI algorithms to intricately extract key terms from legal contracts. The algorithms comb through the text to recognize and highlight pivotal terms and clauses. This enables users to distill and comprehend essential information without flipping through volumes of contract documents.

Yes, Metatext can summarize specific format reports. It employs trained LLMs that can understand the content within a report, extract the key information, and provide a concise summary. This functionality is useful for quickly gleaning crucial details from comprehensive reports.

Fine-tuning LLMs to your domain with Metatext allows the algorithms to better understand and analyze text pertinent to your specific needs or business area. This leads to more accurate and relevant extractions, classifications, and text generations. It also enhances the model's overall performance in handling tasks like Question & Answering or creating chatbots.