Viso.ai

JULY 18, 2024

Large Learning Models or LLMs are quite popular terms when discussing Artificial intelligence (AI). In generative AI, human language is perceived as a difficult data type. An easy way to describe LLM is an AI algorithm capable of understanding and generating human language. What are Large Language Models (LLMs)?

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Applied Data Science

DECEMBER 23, 2022

Linking to demos so that you can also review them yourself Have you been finding the leaps of AI in the last past years impressive? This was one of the first appearances of an AI model used for Text-to-Image generation. Just wait until you hear what happened in 2022. Remember OpenAI’s Dall-e and its avocado chair ? Who should I follow?

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NLP People

JUNE 5, 2018

DeepL DeepL is a Cologne-based startup that utilises deep neural networks to build state-of-the-art machine translation service. Their product consists of a workflow engine for enterprise localization and an adaptive neural machine translation system. Open job positions can be found here. They are hiring.

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Bugra Akyildiz

JULY 16, 2023

Google created a new learning path guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud. HuggingFace has a new class called Audio where they talk about Text to Speech (TTS).

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Marek Rei

NOVEMBER 4, 2024

The University of Hong Kong, Shanghai Jiao Tong University, University of Washington, AllenAI, University of Waterloo, Salesforce Research, Yale University, Meta AI. Comcast Applied AI, UCL, University of Waterloo. Tsinghua University, ModelBest, Renmin University of China, Yale University, WeChat AI, Tencent, Zhihu. EMNLP 2023.

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The Stanford AI Lab Blog

OCTOBER 13, 2021

In Proceedings of the IEEE International Conference on Computer Vision, pp. Distributionally robust neural networks for group shifts: On the importance of regularization for worst-case generalization. In Association for Computational Linguistics (ACL), pp. Selective classification for deep neural networks.

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Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. Java is user-friendly and provides an autonomous platform, making it ideal for developing AI. Prolog: An abbreviation for LOGICAL PROGRAMMING.

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The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. Tools like Domino , Superwise AI , Arize AI , etc.,

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Sebastian Ruder

JANUARY 24, 2022

Important topics include how to build and maintain new datasets efficiently and how to ensure data quality (see the Data-centric AI workshop at NeurIPS 2021 for an overview). Transactions of the Association for Computational Linguistics, 9, 978–994. Advancing mathematics by guiding human intuition with AI.

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Mlearning.ai

FEBRUARY 6, 2023

Image generated by DALLE-2 The measures to counter AI-Generated text in education and other fields need their own transparency measures. To combat these issues, OpenAI recently released an AI Text Classifier that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. NLP, a major buzzword in today’s tech discussion, deals with how computers can understand and generate language. Neural Networks are the workhorse of Deep Learning (cf. Toutanova (2018).

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ODSC - Open Data Science

MARCH 6, 2024

Be sure to check out her talk, “ Language Modeling, Ethical Considerations of Generative AI, and Responsible AI ,” there! Decades of technological innovation have shaped Artificial Intelligence (AI) as we know it today, but there has never been a moment for AI quite like the present one.

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