Large language models ease the development of useful chatbots By Kenn So and Ben Lorica. With the release of GPT-3 in 2020, users got to see what it might be like to interact with a computer that understands short text prompts and can generate responses and longer passages at a humanlike level. Many technologists hailedContinue reading “Resurgence of Conversational AI”
Author Archives: Ben Lorica
Top Places to Work for Data Engineers
We identify organizations in the U.S. that will help you develop your career in data engineering. By Jike Chong, Ben Lorica, and Yue Cathy Chang. In our previous post (“Top Places to Work for Data Scientists”), we compiled lists of U.S. organizations that can help data scientists identify great teams to join at various stagesContinue reading “Top Places to Work for Data Engineers”
Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models
Subscribe • Previous Issues “There’s no sense in being precise when you don’t even know what you’re talking about.” – John von Neumann Data Exchange podcast Deploying Machine Learning Models Safely and Systematically Hamel Husain is Staff Machine Learning Engineer at GitHub, and a core developer for fastai. Machine Learning in Astronomy and Physics Dr. VivianaContinue reading “Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models”
Top Places to Work for Data Scientists
We identify U.S. organizations that will help you develop your career in data science. By Jike Chong, Ben Lorica, and Yue Cathy Chang. What would constitute a good place to work for a data scientist? How do you think about it at different stages of your career? These are important questions to ponder as dataContinue reading “Top Places to Work for Data Scientists”
Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview
Subscribe • Previous Issues “Life is like an ice cream cone. It’s melting so you better eat it before it’s too late.” – Lila.GPT3 FREE Report: 2021 NLP Industry Survey Results Read this new report and learn how companies are building language applications today. The 2021 NLP Industry Survey was a global online survey that drew aContinue reading “Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview”
Taking Low-Code and No-Code Development to the Next Level
Low-Code and No-Code are already impacting software development and analytics, we describe what else is needed. By Assaf Araki and Ben Lorica Recent analyses of technical job postings in the US by Dice and CompTIA show demand for developers and software engineers growing rapidly year-over-year, from 2020 to 2021. Last year’s dip in the numberContinue reading “Taking Low-Code and No-Code Development to the Next Level”
2021 NLP Survey Report
By Ben Lorica and Paco Nathan. Our 2021 NLP Industry Survey report is informed by several important contrasts: organizations with years of history deploying NLP applications in production compared to those which are exploring NLP, responses from Technical Leaders versus general practitioners, and company size. We draw insights and indicate trends based on those contrasts.Continue reading “2021 NLP Survey Report”
Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis
Subscribe • Previous Issues “Done is better than perfect.” – Sheryl Sandberg Data Exchange podcast The State of Data Journalism A conversation with Tara Kelly, Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre. DJC provides journalists and media groups with free resources, materials, online video courses and community forums. Why GraphContinue reading “Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis”
Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores
Subscribe • Previous Issues “The slow philosophy is not about doing everything in tortoise mode. It’s less about the speed and more about investing the right amount of time and attention in the problem so you solve it.” – Carl Honoré Data Exchange podcast An oscilloscope for deep learning Charles Martin is the founder of CalculationContinue reading “Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores”
Data Quality Unpacked
Companies have a pressing need for good data By Kenn So and Ben Lorica. As much as we loathe to repeat what has been written hundreds of times, we have to: the world is data driven. Companies gather more data about their customers to build better products, and those who can make use of thatContinue reading “Data Quality Unpacked”