Remove tag large-language-model
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AI for Universal Audio Understanding: Qwen-Audio Explained

AssemblyAI

Researchers from Alibaba Group have introduced Qwen-Audio , a groundbreaking large-scale audio-language model that elevates the way AI systems process and reason about a diverse spectrum of audio signals. Performance of Qwen-Audio versus previous top-tiers from multi-task audio-text learning models across 12 audio datasets.

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Meet LP-MusicCaps: A Tag-to-Pseudo Caption Generation Approach with Large Language Models to Address the Data Scarcity Issue in Automatic Music Captioning

Marktechpost

Music caption generation involves music information retrieval by generating natural language descriptions of a given music track. The captions generated are textual descriptions of sentences, distinguishing the task from other music semantic understanding tasks such as music tagging. They opted for the powerful GPT-3.5

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

Marktechpost

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Particularly, instruction-following multimodal audio-language models are gaining traction due to their ability to generalize across tasks.

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Mistral AI: Setting New Benchmarks Beyond Llama2 in the Open-Source Space

Unite.AI

Large Language Models (LLMs) have recently taken center stage, thanks to standout performers like ChatGPT. When Meta introduced their Llama models, it sparked a renewed interest in open-source LLMs. This model can be easily downloaded by anyone from GitHub and even via a 13.4-gigabyte gigabyte torrent.

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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.

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Hungry for Data: How Supply Chain AI Can Reach its Inflection Point

Unite.AI

Imagine a regional retail manager, distributor, manufacturer, or procurement officer waking on a Monday, launching a familiar AI chatbot (maybe even voice activated), and asking in natural language if their supply chain is optimized for the week. They do this by learning from large datasets, including ambient IoT-generated supply chain data.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Generative models like GPT-4 can produce new data based on existing inputs.