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”

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”

Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns

Subscribe • Previous Issues “Time matters most when decisions are irreversible.”  – Peter Bernstein Data Exchange podcast Changes to the data science role and to data science tools   Sean Taylor is a Data Science Manager at Lyft, and was previously a research scientist and manager at Facebook where he was instrumental in the creation and releaseContinue reading “Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns”

Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI

Subscribe • Previous Issues “Discovering you were wrong is an update, not a failure, and your worldview is a living document meant to be revised.” – Julie Gaef Data Exchange podcast Storage Technologies for a Multi-cloud World  Brad King is the CTO of Scality, a company that builds software-defined file and object storage systems for hybrid &Continue reading “Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI”

Gradient Flow #39: Becoming TikTok, Next-gen Workflow Orchestration and Forecasting

Subscribe • Previous Issues This edition has 450 words which will take you about 2 minutes to read. “There’s always a way if you’re not in a hurry.” – Paul Theroux Data Exchange podcast Towards a next-generation data orchestrator   Chris White is the CTO of Prefect, a startup building tools to help companies build, monitor, andContinue reading “Gradient Flow #39: Becoming TikTok, Next-gen Workflow Orchestration and Forecasting”

Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI

Subscribe • Previous Issues This edition has 455 words which will take you about 3 minutes to read. “Yesterday I was clever, so I wanted to change the world. Today I am wise, so I am changing myself.”- Rumi Data Exchange podcast Training and Sharing Large Language Models    Connor Leahy, AI Researcher at Aleph Alpha GmbH,Continue reading “Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI”

Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI

Subscribe • Previous Issues This edition has 455 words which will take you about 3 minutes to read. “Yesterday I was clever, so I wanted to change the world. Today I am wise, so I am changing myself.”- Rumi Data Exchange podcast Training and Sharing Large Language Models    Connor Leahy, AI Researcher at Aleph Alpha GmbH,Continue reading “Gradient Flow #38: Large Language Models, Infinite Laptop, Overhyping AI”

Gradient Flow #37: Automation in DataOps, Neural RecSys, Self-Supervision

Subscribe • Previous Issues This edition has 485 words which will take you about 3 minutes to read. “Moses was technically the first person to download files to his tablet from the cloud.” – @ADDiane Data Exchange podcast Automation in Data Management and Data Labeling  Hyun Kim is co-founder and CEO of Superb AI, a startup buildingContinue reading “Gradient Flow #37: Automation in DataOps, Neural RecSys, Self-Supervision”

Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability

Subscribe • Previous Issues This edition has 428 words which will take you about 2 minutes to read. “Preferences are optional and subject to constraints, whereas constraints are neither optional nor subject to preferences.” – Marko Papic Data Exchange podcast Making Boats Fly with Reinforcement Learning and Ray   Nic Hohn (Chief Data Scientist, McKinsey/QuantumBlack Australia) describesContinue reading “Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability”