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SpeechVerse: A Multimodal AI Framework that Enables LLMs to Follow Natural Language Instructions for Performing Diverse Speech-Processing Tasks

Marktechpost

In comparison to Qwen-Audio, which requires hierarchical tagging and a large-scale audio encoder, SpeechVerse incorporates multi-task learning and finetuning without task-specific tagging, enabling generalization to unseen tasks through natural language instructions.

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How to use AI to build powerful market research tools

AssemblyAI

Produce digestible insights that can be easily categorized, tagged, and searched. For example, users can automatically generate key highlights from survey responses, analyze customer sentiment, categorize and tag conversations, and more. Generate key themes and highlights to speed up research analysis. Play here

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How AI helps Marvin's users spend 60% less time analyzing research data

AssemblyAI

Qualitative data analysis platforms like Marvin are building powerful features and tools on top of the latest advances in AI, like AssemblyAI’s state-of-the-art speech recognition model Conformer-1. Marvin helps companies collect, organize, analyze, and share qualitative research data to build customer-centric products and services.

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Prompt Hacking and Misuse of LLMs

Unite.AI

Jailbreak attack GPT4 and Claude When tested against adversarial interactions, even state-of-the-art models like GPT-4 and Claude v1.3 XML Tagging By enclosing user inputs within XML tags, this defense technique clearly demarcates the input from the rest of the system message. display weak spots. the latter still poses risks.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

Record metadata like licenses, tags, creators, etc. Images Created by Midjourney Resembling Scenes from Famous Movies and Video Games These experiments further confirm that even state-of-the-art visual AI systems can unknowingly plagiarize protected content if sourcing of training data remains unchecked. Stability AI and artists v.

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Alibaba Researchers Introduce Qwen-Audio Series: A Set of Large-Scale Audio-Language Models with Universal Audio Understanding Abilities

Marktechpost

A hierarchical tag-based multi-task framework is designed to avoid interference issues from co-training. The model establishes state-of-the-art results on CochlScene, ClothoAQA, and VocalSound, showcasing robust audio understanding capabilities.

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How Wayfair built better, faster catalog tagging with Snorkel Flow

Snorkel AI

What are product tags? We use product tags to organize and store descriptive information about our products. These tags capture specific attributes of each product, such as its color, design, and pattern, in a structured manner. Examples of theme-related tags include “Outer Space Rug,” “Bird Decorative Object,” etc.