NLP and LLMs
Turning language into action.
Natural Language Processing (NLP) and Large Language Models (LLMs) bridge the gap between human communication and machine understanding.
At Dot Square Lab, we expertly apply NLP and LLM technologies to help businesses unlock insights, automate workflows, and create richer, more intuitive user experiences.
From parsing complex documents to powering intelligent chatbots and knowledge systems, we build solutions that are accurate, scalable, and tailored to your needs.
What we build with
Text Classification and Categorization
Text Classification and Categorization
Automatically organize and route information based on content.
Named Entity Recognition (NER)
Named Entity Recognition (NER)
Identify and extract key entities like names, organizations, and locations from text.
Sentiment Analysis
Sentiment Analysis
Understand emotions and opinions expressed across customer feedback, social media, and internal documents.
Document Summarization
Document Summarization
Condense large volumes of text into actionable, concise summaries.
Question Answering Systems
Question Answering Systems
Build intelligent systems that can find and deliver precise answers from complex data sources.
Prompt Engineering and Fine-Tuning
Prompt Engineering and Fine-Tuning
Customize and adapt state-of-the-art LLMs (like GPT, T5, and LLaMA) for domain-specific tasks and workflows.
Applications
Customer Support Automation
Customer Support Automation
Deliver fast, accurate responses with AI-driven chatbots and virtual assistants.
Knowledge Management
Knowledge Management
Organize and retrieve complex information across internal databases and documents.
Compliance and Risk Monitoring
Compliance and Risk Monitoring
Analyze communications, contracts, and reports to flag risks and ensure regulatory compliance.
Content Generation
Content Generation
Automate writing, summarization, and translation tasks with human-quality fluency.
Market Intelligence
Market Intelligence
Extract trends, sentiments, and key topics from large volumes of open-source or proprietary text data.
Personalized User Experiences
Personalized User Experiences
Power recommendation engines, content personalization, and natural language search capabilities.
