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How to use AI to build powerful market research tools

AssemblyAI

Today, market research platforms are turning to AI models, such as AI Speech-to-Text, Audio Intelligence models, and Large Language Models (LLMs), to build suites of advanced analysis tools for their customers. Produce digestible insights that can be easily categorized, tagged, and searched. What is a market research platform?

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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. If you like our work, you will love our newsletter.

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

AssemblyAI

Thankfully, significant strides in AI research–like the research behind Stable Diffusion, modern Large Language Models, and Poisson Flow Generative Models–have now made AI a formidable co-pilot to help companies ask the right questions, make sense of patterns, and build better products.

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Prompt Hacking and Misuse of LLMs

Unite.AI

Sequoia Capital projected that “generative AI can enhance the efficiency and creativity of professionals by at least 10%. The goal is to make the AI perform actions it shouldn't. Making the AI produce forbidden content. With this, the AI might produce content that doesn't follow the set guidelines.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The rapid advances in generative AI have sparked excitement about the technology's creative potential. How Neural Networks Absorb Training Data Modern AI systems like GPT-3 are trained through a process called transfer learning. During training, the AI searches for patterns and statistical relationships in this vast pool of data.

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Customer Stories: Conformer-2 in Action

AssemblyAI

The abundance of spoken data generated from phone calls, virtual meetings, online videos, podcasts, and more can serve as a crucial input for product teams and developers looking to build competitive Generative AI workflows and applications. Let’s look at three use cases more closely: Sembly AI , CallRail , and Vidyo.AI

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What is Conversational Intelligence AI?

AssemblyAI

With the massive amount of digital conversational data available–from virtual meetings to call centers to chatbots–it’s no surprise that enterprises are looking to AI to help make sense of this information overload. One area that is rapidly growing to meet this demand is Conversational Intelligence AI.

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