A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture, upgrading hardware, and using efficient data centers.
How to Effectively Leverage LLMs (Large Language Models) for B2B NLP (Natural Language Processing) Use Cases
October 26, 2022 by Leave a Comment
In this contributed article, Rigvi Chevala, Evalueserve’s CTO, believes that while plenty of investment and progress into AI is causing great strides, ML and AI benefit from simpler solutions. LLMs offer the opportunity for a quick start, and many players are considering how to make them useful to their businesses. The article advises you to count your organization as one of them – understand their benefits and constraints and wisely use them.
Deci’s Natural Language Processing (NLP) Model Achieves Breakthrough Performance at MLPerf
September 12, 2022 by Leave a Comment
Deci, the deep learning company harnessing Artificial Intelligence (AI) to build better AI, announced results for its Natural Language Processing (NLP) inference model submitted to the MLPerf Inference v2.1 benchmark suite under the open submission track.
Interview: Dr. Susan Hura, Chief Design Officer at Kore.ai
August 12, 2022 by Leave a Comment
I recently caught up with Dr. Susan Hura, Chief Design Officer at Kore.ai to discuss the bank-end work that goes into developing an intuitive conversational AI-supported chatbot. She’ll also dispel some of the myths behind developing and introducing a CAI-empowered chatbot into a business’s digital platform. Whether used out-of-the-box or customized, a chatbot’s design plays a more strategic role than one might think and requires an immense amount of human input to create.
Fiddler Announces Giga-Scale Model Performance Management with Deeper Understanding of Unstructured Models and Fine Discoverability to Launch New AI Initiatives
July 29, 2022 by Leave a Comment
Fiddler, a pioneer in Model Performance Management (MPM), announced major improvements to its MPM platform, including model ingestion at giga-scale, natural language processing (NLP) and computer vision (CV) monitoring, class imbalance, and an intuitive and streamlined user experience. With these new features, the Fiddler MPM platform is delivering a deeper understanding of unstructured model behavior and performance, and enhanced scalability, discoverability of rare and nuanced model drifts, and ease of use.
Cortical.io Semantic Folding Approach Demonstrates a 2,800x Acceleration and 4,300x Increase in Energy Efficiency over BERT
July 12, 2022 by Leave a Comment
Cortical.io announced its breakthrough prototype for classifying high volumes of unstructured text. Classifying documents or messages constitutes one of the most fundamental Natural Language Understanding (NLU) functions for business artificial intelligence (AI). The benchmark was carried out on two similar system setups using the same, off-the-shelve, dual AMD-Epyc server hardware. The “BERT” system, a transformer-based machine learning technique for natural language processing, was augmented by a NVidia GPU. The “Semantic Folding” approach utilized a cost comparable number of Xilinx Alveo FPGA accelerator cards.
Video Highlights: The Rise of DeBERTa for NLP Downstream Tasks
July 4, 2022 by Leave a Comment
In episode seven of the NVIDIA Grandmaster Series, you’ll learn from four members of the Kaggle Grandmasters of NVIDIA (KGMON) team. Watch this video to learn how they used natural language processing to analyze argumentative writing elements from students and identified key phrases in patient notes from medical licensing exams.
More Than You Know: The Enterprise Worth of Natural Language Generation
June 24, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper highlights how Natural Language Generation (NLG) is arguably the nexus point of natural language technologies. It utilizes Natural Language Processing (NLP), is a prerequisite for conversational AI, and largely requires Natural Language Understanding (NLU) for meaningful responses to interrogatives or commands.
Video Highlights: How to Optimize Deep Learning Models for Production
June 11, 2022 by Leave a Comment
In the video presentation embedded below, our friends over at Neural Magic present a compelling workshop: How to Optimize Deep Learning Models for Production. After watching this video, you’ll be able to optimize your NLP and/or computer vision model, apply your own data with a few lines of code, and deploy it on commodity CPUs at GPU-level speeds.
Deci Boosts Computer Vision & NLP Models’ Performance at MLPerf
April 6, 2022 by Leave a Comment
Deci, the deep learning company harnessing Artificial Intelligence (AI) to build AI, announced its results for both Computer Vision (CV) and Natural Language Processing (NLP) inference models that were submitted to the MLPerf v2.0 Datacenter Open division. These submissions demonstrated the power of Deci’s Automated Neural Architecture Construction (AutoNAC) technology, which automatically generated models dubbed DeciNets and DeciBERT, thus delivering breakthrough accuracy and throughput performance on Intel’s CPUs.
