Remove Automation Remove Chatbots Remove Computational Linguistics
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Chatbot Arena: An Open Platform for Evaluating LLMs through Crowdsourced, Pairwise Human Preferences

Marktechpost

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks. This gap underscores the necessity for a more adaptive and human-centric approach to evaluation.

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A Guide to Computational Linguistics and Conversational AI

Towards AI

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. Source: Creative Commons In recent years, we have seen an explosion in the use of voice assistants, chatbots, and other conversational agents that use natural language to communicate with humans.

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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? To automate the evaluation process, we prompt strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses. ShortGPT is a powerful framework for automating content creation.

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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. They tended to rely on smaller datasets and more developer handholding, making them less intelligent and more like automation tools. LLMs generate text.

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How to Improve User Experience (and Behavior): Three Papers from Stanford's Alexa Prize Team

The Stanford AI Lab Blog

We’ve published papers on each of these topics at SIGDIAL 2021 and in this post, we’ll share key findings which provide practical insights for both chatbot researchers and developers. Recipes for building an open-domain chatbot arXiv preprint arXiv:2004.13637 (2020). ↩ Hannah Raskin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau.

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Overcoming The Limitations Of Large Language Models

Topbots

To make RLHF broadly accessible, we will also need to figure out a way to crowdsource communicative reward data and/or to build it in a self-supervised or automated way. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. 10.48550/arXiv.2212.08120. 2212.08120. [3]

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

This year is intense: we have, among others, a new generative model that beats GANs , an AI-powered chatbot that discusses with more than 1 million people in a week and prompt engineering , a job that did not exist a year ago. To cover as many breakthroughs as possible we have broken down our review in four parts: ?