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The Best of Applied Artificial Intelligence, Machine Learning, Automation, Bots, Chatbots

Kate Koidan

Beyond ChatGPT: Open-Source Projects in Generative AI

May 24, 2023 by Kate Koidan

open-source research

In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. They enable researchers, developers, and enthusiasts to experiment, improve upon existing models, and create novel applications that benefit society as a whole. In this article, I want to briefly review the … [Read more...] about Beyond ChatGPT: Open-Source Projects in Generative AI

NeurIPS 2020: Key Research Papers in Natural Language Processing (NLP) & Conversational AI

December 1, 2020 by Kate Koidan

NLP at NeurIPS 2020

NeurIPS is the largest machine learning conference held every December. It brings together researchers in computational neuroscience, reinforcement learning, deep learning, and their applications such as computer vision, fairness and transparency, natural language processing, robotics, and more. Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most … [Read more...] about NeurIPS 2020: Key Research Papers in Natural Language Processing (NLP) & Conversational AI

NeurIPS 2020: Key Research Papers in Computer Vision

December 1, 2020 by Kate Koidan

CV research at NeurIPS 2020

Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about NeurIPS 2020: Key Research Papers in Computer Vision

How AI Researchers Are Tackling COVID-19

December 1, 2020 by Kate Koidan

COVID-19 at NeurIPS 2020

Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about How AI Researchers Are Tackling COVID-19

NeurIPS 2020: Key Research Papers in Reinforcement Learning and More

December 1, 2020 by Kate Koidan

reinforcement learning at NeurIPS 2020

Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about NeurIPS 2020: Key Research Papers in Reinforcement Learning and More

TOPBOTS Guide to NeurIPS 2020

November 26, 2020 by Kate Koidan

NeurIPS 2020

This year’s Annual Conference on Neural Information Processing (NeurIPS 2020) is held 100% virtually from December 6th to 12th, 2020.  Historically NeurIPS sells out quickly and can be a challenge to register for. But, this year’s virtual format welcomes everyone with an affordable ticket price of $100. 2020 is our third year of TOPBOTS covering the conference. To … [Read more...] about TOPBOTS Guide to NeurIPS 2020

Evaluation Metrics For Dialog Systems

October 14, 2020 by Kate Koidan

dialog agent evaluation

Evaluation is a crucial part of the dialog system development process. Human judgment is considered a gold standard for the evaluation of dialog agents. However, this is also a very expensive and time-intensive approach. Thus, researchers mostly rely on automatic metrics when developing dialog systems. In this article, we’ll introduce a brief overview of the key evaluation … [Read more...] about Evaluation Metrics For Dialog Systems

Key Dialog Datasets: Overview and Critique

October 13, 2020 by Kate Koidan

dialog datasets

To build a state-of-the-art dialog system, you need challenging tasks for model training and evaluation. There are numerous dialog datasets that assist researchers in building task-oriented and chit-chat dialog agents. In particular, the Facebook Research team has introduced a framework, called ParlAI (pronounced par-lay), where they’ve gathered together 80+ popular dialog … [Read more...] about Key Dialog Datasets: Overview and Critique

Task-Oriented Dialog Agents: Recent Advances and Challenges

October 6, 2020 by Kate Koidan

pipeline dialog systems

Hotel bookings, weather queries, restaurant reservations – chatbots and virtual assistants seem to be the perfect solution for these kinds of routine inquiries. Not surprisingly, task-oriented dialog systems that support these chatbots have become a hot topic in the AI and NLP research community. In this article, we will review the recent research breakthroughs in … [Read more...] about Task-Oriented Dialog Agents: Recent Advances and Challenges

Best Research Papers From ICML 2020

July 30, 2020 by Kate Koidan

ICML 2020 Best Papers

This year’s virtual ICML conference hosted 10800+ attendees from 75 countries. Apparently, the virtual format makes big research conferences such as ICML more accessible to the AI community all over the world. With almost 5000 research papers submitted to ICML 2020 and an acceptance rate of 21.8%, a total of 1088 papers were presented at the conference. As usual, the … [Read more...] about Best Research Papers From ICML 2020

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