Remove Chatbots Remove Computational Linguistics Remove Deep Learning
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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

Articles LLM Arena You want to use a chatbot or LLM, but you do not know which one to pick? Assignments will include the basics of reinforcement learning as well as deep reinforcement learning — an extremely promising new area that combines deep learning techniques with reinforcement learning.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. LLMs leverage deep learning architectures to process and understand the nuances and context of human language. LLMs generate text.

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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. SQuARE is a research project that aims to make QA research more accessible.

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Explainable AI and ChatGPT Detection

Mlearning.ai

People won't be able to cheat using chatbots with these tools around, right? In this article, I am to break down some of these issues around model-based chatbot detection. The first problem is when someone simply takes inspiration from a chatbot or heavily paraphrases the chatbot [3].

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All Languages Are NOT Created (Tokenized) Equal

Topbots

70% of research papers published in a computational linguistics conference only evaluated English.[ In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Association for Computational Linguistics.

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Overcoming The Limitations Of Large Language Models

Topbots

In the past, the Deep Learning community solved the data shortage with self-supervision — pre-training LLMs using next-token prediction, a learning signal that is available “for free” since it is inherent to any text. Association for Computational Linguistics. [2] Association for Computational Linguistics. [4]

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. As humans we do not know exactly how we learn language: it just happens.