Despite the challenges of 2020, the AI research community produced a number of meaningful technical breakthroughs. GPT-3 by OpenAI may be the most famous, but there are definitely many other research papers worth your attention. For example, teams from Google introduced a revolutionary chatbot, Meena, and EfficientDet object detectors in image recognition. Researchers … [Read more...] about 2020’s Top AI & Machine Learning Research Papers
GPT-3 & Beyond: 10 NLP Research Papers You Should Read
NLP research advances in 2020 are still dominated by large pre-trained language models, and specifically transformers. There were many interesting updates introduced this year that have made transformer architecture more efficient and applicable to long documents.Another hot topic relates to the evaluation of NLP models in different applications. We still lack evaluation … [Read more...] about GPT-3 & Beyond: 10 NLP Research Papers You Should Read
Novel Computer Vision Research Papers From 2020
Will transformers revolutionize computer vision like they did with natural language processing? That’s one of the major research questions investigated by computer vision scientists in 2020. The first results indicate that transformers achieve very promising results on image recognition tasks.Beyond transformers in vision applications, we also noticed a continuous … [Read more...] about Novel Computer Vision Research Papers From 2020
The Latest Breakthroughs in Conversational AI Agents
2020 is the breakthrough year for conversational agents. First, Google’s chatbot Meena and Facebook’s chatbot Blender demonstrated that dialog agents can achieve close to human-level performance in certain tasks. Then, OpenAI’s GPT-3 model made lots of people wonder whether Artificial General Intelligence (AGI) is already here. While we are still a long way off true AGI, … [Read more...] about The Latest Breakthroughs in Conversational AI Agents
State-of-the-art Approaches to Building Open-Domain Conversational Agents
This research summary is part of our Conversational AI series which covers the latest AI & machine learning approaches in the following areas:Open-domain chatbotsTask-oriented chatbotsDialog datasetsEvaluation metricsIn this piece, we start by covering the cutting-edge approaches to building open-domain dialog agents.2020 is the breakthrough year for open-domain … [Read more...] about State-of-the-art Approaches to Building Open-Domain Conversational Agents
Key Research Advances in Building Task-Oriented Dialog Agents
This research summary is part of our Conversational AI series which covers the latest AI & machine learning approaches in the following areas:Open-domain chatbotsTask-oriented chatbotsDialog datasetsEvaluation metricsIn this research summary, we feature some of the most interesting novel approaches to improving the performance of task-oriented, or goal-oriented, … [Read more...] about Key Research Advances in Building Task-Oriented Dialog Agents
Novel Datasets For Open-Domain & Task-Oriented Dialogs
This research summary is part of our Conversational AI series which covers the latest AI & machine learning approaches in the following areas:Open-domain chatbotsTask-oriented chatbotsDialog datasetsEvaluation metricsIn this post, we review the recently introduced datasets for training, validating, and evaluating dialog systems.Recent progress in language … [Read more...] about Novel Datasets For Open-Domain & Task-Oriented Dialogs
New Ways to Evaluate Open-Domain Conversational Agents
This research summary is part of our Conversational AI series which covers the latest AI & machine learning approaches in the following areas:Open-domain chatbotsTask-oriented chatbotsDialog datasetsEvaluation metricsIn this last part of the series, we discuss the latest approaches to evaluation of dialog agents.Evaluating open-domain dialog agents remains a … [Read more...] about New Ways to Evaluate Open-Domain Conversational Agents
The Essential Landscape of Enterprise AI Companies (2020)
By our definition, "enterprise" technology companies create tools for workplace roles and functions that a large number of businesses use.Plenty of enterprise companies use combinations of automated data science, machine learning, and modern deep learning approaches for tasks like data preparation, predictive analytics, and process automation. Many are well-established … [Read more...] about The Essential Landscape of Enterprise AI Companies (2020)
3 NLP Interpretability Tools For Debugging Language Models
With constant advances and unprecedented performance on many NLP tasks, language models have gotten really complex and hard to debug. Researchers and engineers often can’t easily answer questions like: Why did your model make that prediction? Does your model have any algorithmic biases?What kind of data samples does your model perform poorly … [Read more...] about 3 NLP Interpretability Tools For Debugging Language Models