Deci, the deep learning company harnessing AI to build AI, unveiled the latest addition to its suite of innovative generative AI models, DeciLM-7B, a 7 billion parameter large language model. Building upon the success of its predecessor DeciLM 6B, DeciLM 7B is setting new benchmarks in the large language model (LLM) space, outperforming prominent open-source models such as Llama2 7B and Mistral 7B in both accuracy and efficiency.
Search Results for: automated model building
Deci Unveils DeciLM-7B: A Leap Forward in Language Model Performance and Inference Cost Efficiency
December 14, 2023 by Leave a Comment
What is Automated Machine Learning (AutoML): How it Works and Best Practices
June 10, 2023 by Leave a Comment
In this contributed article, AI, and computer vision enthusiast Melanie Johnson believes that as AutoML continues to progress, it holds the promise of enhancing efficiency and accuracy in machine learning tasks. However, it is crucial to strike a balance between automation and human expertise, leveraging AutoML as a valuable tool while still relying on domain knowledge and the skillful guidance of ML professionals. With continued advancements and collaboration, AutoML has the potential to drive innovation and create new opportunities in the realm of artificial intelligence and data analysis.
2023 Trends in Data Modeling
November 17, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses how the centrality of data modeling to data management will likely remain for some time. What’s most notable about this fact is it’s becoming considerably simpler to perform some of the basic tasks associated with this discipline. From flexible, schema-on-read models to the multitude of options for clarifying semantics and implementing the basics of domain models, data modeling’s effectiveness is increasing almost as much as the effort it requires is decreasing.
Pecan AI Announces One-Click Data Science Model Deployment, Integration with Core Business Systems, and Automated Live Model Monitoring
July 20, 2022 by Leave a Comment
Pecan AI, a leader in AI-based predictive analytics for BI analysts and business teams, announced the addition of one-click model deployment and integration with common CRMs, marketing automation tools and other core business systems. Pecan’s customers can now take immediate actions based on the highly accurate predictions for future churn, life-time-value, demand and other customer-conversion metrics generated by Pecan.
Low Code Data Science is Not the Same as Automated Machine Learning
October 7, 2021 by Leave a Comment
[SPONSORED POST] In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Low code tools are becoming more and more popular. They allow to perform certain tasks without the need of coding. They are based on visual programming, that is on a drag & drop interface to build a pipeline of blocks, each block implementing a dedicated task.
Lessons Learned: Training and Deploying State of the Art Transformer Models at Digits
September 10, 2021 by Leave a Comment
In this blog post, we want to provide a peek behind the curtains on how we extract information with Natural Language Processing (NLP). You’ll learn how to appy state-of-the-art Transformer models for this problem and how to go from an ML model idea to integration in the Digits app.
Dotscience Enables Simplest Method for Building, Deploying and Monitoring ML Models in Production on Kubernetes Clusters to Accelerate the Delivery of Business Value from AI
November 3, 2019 by Leave a Comment
Dotscience, a pioneer in DevOps for Machine Learning (MLOps), announced new platform advancements that offer the easiest way to deploy and monitor ML models on Kubernetes clusters, making Kubernetes simple and accessible to data scientists.
Before We Argue About Ethics, Models Need Transparency
July 11, 2019 by Leave a Comment
In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an absolute requirement for a proper AI implementation within an organization, as well as the key to ensuring a more meaningful ethical perspective as AI is woven into our everyday lives.
DataRobot Announces Automated Time Series Solution
August 12, 2018 by Leave a Comment
DataRobot, the pioneering architects of automated machine learning, announced the general availability of DataRobot Time Series. Following an extensive collaboration with more than 75 customers and world-class data scientists, this latest breakthrough completely automates sophisticated time series modeling. Finally, front line business people can quickly build highly accurate forecasts for a diverse array of time-dependent prediction opportunities.
Infoworks Launches End-to-End Automated Big Data Warehousing Platform in the Cloud
October 10, 2017 by Leave a Comment
Infoworks.io Inc., a leader in automated Big Data warehousing, announced the availability of the Infoworks Cloud Big Data Warehouse, an automated end-to-end data warehousing platform in the cloud that empowers enterprises to rapidly build and deploy big data use-cases in days instead of months.
