Unite.AI

FEBRUARY 21, 2025

AI relies on high-quality, structured data to generate meaningful insights, but many businesses struggle with fragmented or incomplete product information. Scalability is another challenge, as AI models must continuously learn and adapt to new product data, customer behaviors, and market trends while maintaining accuracy and relevance.

Natural Language Processing 146

Natural Language Processing NLP Categorization Algorithm 146

Marktechpost

SEPTEMBER 25, 2024

Automation of R&D in Data Science RD-Agent automates critical R&D tasks like data mining, model proposals, and iterative developments. Automating these key tasks allows AI models to evolve faster while continuously learning from the data provided.

Automation 137

Automation AI Tools Data Mining Large Language Models 137

John Snow Labs

JUNE 27, 2023

What are Large Language Models (LLMs)? Large language models (LLMs) are precisely that – advanced AI models designed to process, understand, and generate natural language in a way that mimics human cognitive capabilities. Imagine a system that can read, comprehend, and generate human language with remarkable accuracy.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

Unite.AI

DECEMBER 11, 2024

Sure, large language models (LLMs) can discuss almost anything, but asking them to consistently perform complex technical tasks? Traditional AI models have broad knowledge but lack the refined expertise that comes from years of specialized experience. That is where things often get frustrating.

OpenAI 130

OpenAI AI AI Large Language Models 130

NVIDIA

JANUARY 7, 2025

AI agents can communicate with users, or they can work in the background, where human feedback and interaction will always be available. An AI query engine processes, stores and retrieves data connecting AI agents to insights. Retrieval-augmented generation is a component of AI query engines.

AI 140

AI AI Data Extraction Generative AI 140

Unite.AI

NOVEMBER 21, 2024

We recently worked with a large insurance company that wanted to automate its data extraction processes. So, our team developed a companion bot, which now helps process multiple documents, extracting critical information like risk, eligibility, coverage and pricing details.

DevOps 146

DevOps Automation Responsible AI Software Development 146