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Microsoft’s TAG-LLM: An AI Weapon for Decoding Complex Protein Structures and Chemical Compounds!

Marktechpost

This limitation constrains the utility of LLMs in these critical areas and curtails the potential for AI-driven innovations that could revolutionize scientific discovery and application. Addressing this challenge, a groundbreaking framework developed at Microsoft Research, TAG-LLM, emerges.

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The Current State of AI in Marketing 2024

Unite.AI

The use of AI in marketing has changed how businesses communicate with clients. According to a McKinsey study , around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these. The Artificial Intelligence (AI) in marketing size is expected to reach $145.42 billion by 2032.

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How 20 Minutes empowers journalists and boosts audience engagement with generative AI on Amazon Bedrock

AWS Machine Learning Blog

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. Our newsroom journalists work on news stories using Storm, our custom in-house digital editing experience.

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Two Case Studies on Midjourney’s Consistency in Character Imaging

Towards AI

Last Updated on March 14, 2024 by Editorial Team Author(s): Meng Li Originally published on Towards AI. The good news is that Midjourney has recently launched a new algorithm. Midjourney has launched a new tag called “cref,” which stands for “character reference.” Published via Towards AI

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AI News Weekly - Issue #343: Summer Fiction Reads about AI - Jul 27th 2023

AI Weekly

In the News 10 Thought-Provoking Novels About AI Although we’re probably still a long way off from the sentient forms of AI that are depicted in film and literature, we can turn to fiction to probe the questions raised by these technological advancements (and also to read great sci-fi stories!). Now through 7/31, just pay $39.99

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Researchers from Alibaba Propose INSTAG: An Open-Set Fine-Grained Tagger that Leverages the Instruction Following Ability of Modern Chatbots like ChatGPT

Marktechpost

Researchers at Alibaba DAMO Academy propose an open-set fine-grained tagger called “InsTag” to tag samples within the SFT dataset based on semantics and intentions to define instruction diversity and complexity regarding tasks. InsTag is an automatic Instruction Tagging method empowered by the high-performing chatbot ChatGPT.

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Text Annotation: The Complete Guide

Viso.ai

AI algorithms use them as ground truths to adjust their weights accordingly. The process involves classifying blocks of text, tagging text elements for semantic annotation and understanding, or associating intent with conversational data. Entity tagging labels these elements into their respective classes.