John Snow Labs

JANUARY 14, 2025

This is the result of a concentrated effort to deeply integrate its technology across a range of cloud and data platforms, making it easier for customers to adopt and leverage its technology in a private, safe, and scalable way. The curated Models Hub crossed 100,000 models, of which 63% are now LLMs.

Large Language Models 40

Large Language Models NLP Natural Language Processing LLM 40

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

IBM Journey to AI blog

JULY 27, 2023

Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos. Overall placing emphasis on establishing a trusted and integrated data platform for AI.

Generative AI 173

Generative AI Chatbots Data Scientist AI 173

ODSC - Open Data Science

MARCH 18, 2025

Since 2022, she has been driving digital transformation, designing cloud architectures, and developing cutting-edge data platforms incorporating IoT, real-time analytics, machine learning, and generative AI. in Ecology, he brings a unique perspective to statistics, spatial analysis, and real-world data applications.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

AWS Machine Learning Blog

SEPTEMBER 12, 2024

State-of-the-art generative AI models are averaging latencies in the order of seconds, and many of today’s massive models are too large to fit into a single instance. We believe that businesses creating customer or consumer-facing generative AI applications shouldn’t have to sacrifice performance for cost-efficiency.

Generative AI 89

Generative AI AI AI ML 89

The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. Model serving. Responsible AI and explainability. What do they want to accomplish? Monitoring and observability.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

NVIDIA

JANUARY 7, 2025

Its a critical component of agentic AI , as it serves as a bridge between an organizations knowledge base and AI-powered applications, enabling more accurate, context-aware responses. AI agents form the basis of an AI query engine, where they can gather information and do work to assist human employees.

AI 139

AI AI Data Extraction Generative AI 139

Unite.AI

NOVEMBER 6, 2024

Birago Jones is the CEO and Co-Founder of Pienso, a no-code/low-code platform for enterprises to train and deploy AI models without the need for advanced data science or programming skills. Pienso ‘s interactive learning interface is designed to enable users to harness AI to its fullest potential without any coding.

Large Language Models 162

Large Language Models Deep Learning Machine Learning Algorithm 162