Unite.AI

AUGUST 19, 2023

These voiceovers also include closed captions. Users can craft highly personal and on-brand captions 10x faster than before. Don’t let the hassle of caption writing get in the way of your content creation. Get uniquely-crafted captions, as if you had a personal copywriter at your service.

AI Tools 240

AI Tools AI AI Artificial Intelligence 240

Unite.AI

SEPTEMBER 25, 2023

This means it can take a hummed or whistled melody and transform it according to the style delineated in a text caption. This is achieved through a shared embedding space created using MuLan, a joint music-text model trained to project music and its corresponding text descriptions close to each other in an embedding space.

Generative AI 296

Generative AI Deep Learning AI AI 296

Marktechpost

NOVEMBER 28, 2023

Drawing an analogy, we can similarly “transcribe” an image into text, a process commonly known as image captioning. However, typical image captions fall short in content preservation, emphasizing precision over comprehensiveness. Image captions struggle to address a wide range of visual inquiries effectively.

Large Language Models 124

Large Language Models Deep Learning LLM AI Researcher 124

AssemblyAI

DECEMBER 18, 2023

For schools and universities, add-ons like video transcripts and closed captioning are not additional features, but basic rights to which all learners are entitled.  With real-time speech-to-text models, LMS developers can also generate live captions using real-time streaming.

AI 147

AI AI Artificial Intelligence Artificial Intelligence 147

Marktechpost

NOVEMBER 27, 2023

The need for more intricate picture descriptions to understand the subtleties of image-text linkages increases as datasets get bigger, a condition that needs to be met by the brief, one-sentence captions seen in datasets like COYO and LAION. Improvements in performance across several assessment datasets.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence AI AI 120

Marktechpost

NOVEMBER 12, 2023

Next, token prediction may be used to create a variety of vision and cross-modality tasks, such as picture captioning, visual question answering, visual grounding, and even segmentation. Models of visual language are strong and flexible. The coherence between the visual elements and the content could be stronger.

NLP 122

NLP Natural Language Processing AI Researcher AI Research 122

Marktechpost

DECEMBER 19, 2023

This model enables users to produce highly realistic, detailed images that closely match the text description. Imagen 2 has detailed image captions in the training dataset to overcome this. This allows the model to learn various captioning styles and generalize its understanding to user prompts.

AI 121

AI AI Computer Vision Artificial Intelligence 121

ODSC - Open Data Science

FEBRUARY 10, 2023

First, it takes pieces of sound, or audio tokens, and maps them into words that represent the meaning of sounds in captions for training. Next, the program takes in user captions and/or input audio to generate what are called acoustic tokens. After listening to each, the generated audio is quite close to the prompt.

Data Science 98

Data Science Generative AI AI Modeling AI 98

Marktechpost

SEPTEMBER 15, 2023

In the study outlined in this article, the researchers introduce BLIVA (InstructBLIP with Visual Assistant), a multimodal LLM strategically engineered to integrate two key components: learned query embeddings closely aligned with the LLM itself and image-encoded patch embeddings, which contain more extensive image-related data.

Large Language Models 127

Large Language Models LLM OpenAI AI Researcher 127

AssemblyAI

OCTOBER 26, 2023

Ably published a  tutorial  on how to build a real-time closed-caption system in React using AssemblyAI. Domenic Donato , AssemblyAI's VP of Technology, was  interviewed  at Google Cloud Next.

Python 130

Python Large Language Models LLM OpenAI 130

AssemblyAI

MAY 14, 2024

The AI-based platform gives content creators tools like AI-generated captions, subtitles, and automated video chapters. And real-time captioning services use speech recognition to transcribe language spoken during live events, meetings, or broadcasts. Video Editing Veed.io

Natural Language Processing 147

Natural Language Processing Automation Robotics AI 147

Marktechpost

MARCH 14, 2024

This method utilizes an array of pre-training tasks designed to closely mimic downstream applications, thus providing models with a deeper understanding of visual elements and their textual descriptions. improvement in Table Detection and consistent gains in Widget Captioning, Screen Summarization, and other tasks.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence AI AI 110

Marktechpost

JANUARY 26, 2024

The Frechet Audio Distance (FAD) with VGGish backbone and the CLAP score was crucial in measuring the performance, ensuring the generated music was closely aligned with the baseline recordings and text captions.

AI 132

AI AI ML Artificial Intelligence 132

Marktechpost

JANUARY 23, 2024

When PoT GPT-4 is enhanced with Bard captions and OCR text, it reaches 33.9%, closely matching the Multimodal Bard. In comparison, the best-performing multimodal model, Bard, achieves 34.8%, representing 58% of human performance (34.8% vs. 60.3%).

Large Language Models 135

Large Language Models ChatGPT ML AI 135

deepsense.ai

JUNE 27, 2023

Caption: Our prompt template We used this template to generate a diverse and robust set of 5000 prompts by randomly replacing prompt components with their corresponding values (see table below). Caption: Metrics dynamics during training process. The optimal training length is closely related to the input image count.

Prompt Engineer 80

Prompt Engineer Prompt Engineering Explainability Generative AI 80

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Image captioning integrates computer vision, which interprets visual information, and NLP, which produces human language.

Natural Language Processing 52

Natural Language Processing Computer Vision NLP Algorithm 52

Marktechpost

APRIL 10, 2024

But how close are we to realizing this vision? There are also many cases where the images and text captions are misaligned, containing different concepts. Imagine an AI system that can recognize any object, comprehend any text, and generate realistic images without being explicitly trained on those concepts.

Data Scarcity 104

Data Scarcity AI AI ML 104

Marktechpost

JULY 2, 2023

They also know linear mapping using contrastive learning to map the [RET] embeddings for a caption to be close to the visual embeddings for its associated picture. While previous algorithms require webscale interleaved image-text data, FROMAGe develops strong few-shot multimodal capabilities from image caption pairings alone.

Large Language Models 52

Large Language Models AI Modeling LLM AI 52

Unite.AI

DECEMBER 11, 2023

The announcement of Google Gemini, nestled closely after the debut of Bard, Duet AI, and the PaLM 2 LLM, marks a clear intention from Google to not only compete but lead in the AI revolution. Gemini stands on the shoulders of its predecessors, promising to deliver a more interconnected and intelligent suite of applications.

AI 335

AI AI Neural Network Large Language Models 335

Marktechpost

JULY 23, 2023

The cutting-edge subtitling system makes it simple to produce top-notch subtitles and captions. If you’re looking for a location to learn how to make captions for your videos that people want to watch, you’ve found it. is built to generate open and closed captions mechanically. With Nova A.I.,

AI Tools 97

AI Tools Natural Language Processing Artificial Intelligence Artificial Intelligence 97

Marktechpost

MARCH 4, 2024

Using this arrangement, they can take tactile readings and close-up visual observations when they press and slide on different foreground surfaces and objects against various backgrounds. So, to gather synchronized touch-vision data “in the wild,” away from a controlled lab environment, researchers build a bespoke handheld device.

Robotics 100

Robotics Large Language Models Categorization LLM 100

TheSequence

SEPTEMBER 10, 2023

on different benchmarks, clearly outlining how quickly open source has bridged the gap with closed models. Specifically, the paper discusses Qwen-VL and Qwen-VL-Chat and their performance in tasks such as zero-shot captioning, visual or document visual question answering, and grounding —> Read more. Green announced a $4.9

LLM 114

LLM ML Generative AI AI 114

Google Research AI blog

AUGUST 18, 2023

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team There has been great progress towards adapting large language models (LLMs) to accommodate multimodal inputs for tasks including image captioning , visual question answering (VQA) , and open vocabulary recognition.

Large Language Models 92

Large Language Models LLM Computer Vision Metadata 92

Google Research AI blog

MARCH 6, 2023

for closed captions), can perform automatic speech recognition (ASR) not only on widely-spoken languages like English and Mandarin, but also on under-resourced languages like Amharic, Cebuano, Assamese, and Azerbaijani to name a few. USM, which is for use in YouTube (e.g., USM’s overall training pipeline. Lower WER is better.

Software Engineer 140

Software Engineer Algorithm AI AI 140

AssemblyAI

AUGUST 14, 2023

Let’s look at three use cases more closely: Sembly AI , CallRail , and Vidyo.AI Vidyo.AI’s product team needed an AI stack for spoken data to help power the platform’s core features, like AI captions and subtitles and auto video chapters. Use Case: Video Editing Vidyo.AI Photo Credit: Vidyo.AI

Generative AI 130

Generative AI Explainability AI Tools AI Modeling 130

AssemblyAI

DECEMBER 14, 2022

Perhaps not even watching mom and dad just watching the world go by just having eyes open or having eyes closed or the very active opening and closing eyes that the world appears and disappears. That's what we mean by background knowledge. All that basic information. That's that's what you mean by background knowledge.

AI Researcher 130

AI Researcher AI Research AI AI 130

Viso.ai

DECEMBER 27, 2023

It takes a ‘text caption/label as input’ and produces another high-dimensional vector representation. During pre-training, the model is presented with pairs of images and text captions. Some of these pairs are genuine matches (the caption accurately describes the image), while others are mismatched.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network NLP 52

TheSequence

FEBRUARY 25, 2024

This contrasts with the closed nature of its Gemini release. VideoPrism is optimized for a wide number of tasks including classication, captioning, retrieval and several others —> Read more. The Gemma release represents an interesting strategic move by Google.

LLM 114

LLM Generative AI OpenAI ML 114

BAIR

JULY 14, 2023

This is typically motivated as a maximum likelihood estimation problem, where the model is trained to generate samples that match the training data as closely as possible. DDPO IS is our best-performing algorithm and its implementation closely follows that of proximal policy optimization (PPO).

Algorithm 239

Algorithm Robotics Neural Network Chatbots 239

ODSC - Open Data Science

MARCH 8, 2024

This means that, for example, the embeddings representing two words or concepts that are semantically similar, will be mathematically close within the multi-dimensional space. Also in this case, the idea is that similar data will be represented by vectors that are close to each other.

Large Language Models 52

Large Language Models Convolutional Neural Networks LLM Neural Network 52

AssemblyAI

SEPTEMBER 12, 2023

The field has grown exponentially over the past decade, with ASR systems popping up in popular applications we use every day such as TikTok and Instagram for real-time captions, Spotify for podcast transcriptions, Zoom for meeting transcriptions, and more. Let’s look more closely at these two dominant approaches to ASR.

Deep Learning 130

Deep Learning Machine Learning Categorization Data Analysis 130

TheSequence

JULY 2, 2023

Firstly, it demonstrates the real potential of open-source foundation models as a viable alternative to closed, API-based models. A Unified Pretraining Strategy for Computer Vision Models Google Research published a paper unveiling a pretraining strategy that combines image captioning and image classification.

Generative AI 98

Generative AI LLM ML AI 98

Towards AI

MAY 2, 2023

The prohibitive expense of training new models is an upfront cost that is increasingly being fronted by closed source API providers like OpenAI, as well as researchers and projects building open source foundational models such as Stable Diffusion, Whisper, LLaMA and others. The barrier to entry is getting lower for AI builders.

Machine Learning 98

Machine Learning OpenAI AI AI 98

ODSC - Open Data Science

MARCH 11, 2024

Many people don’t realize they even use this program as USM is currently being used in YouTube for closed captions, which allow for automatic speech recognition in many popular languages such as English and Madrian. This also includes 28 billion sentences of text, spanning 300+ languages. That’s where Imagen 2 comes in.

Neural Network 52

Neural Network Robotics Data Science Algorithm 52

Marktechpost

JULY 11, 2023

There have been multiple attempts to tackle this “ closed ” vocabulary of object segmentation models. At a high level, it contains a pre-trained frozen text-to-image diffusion model into which an image and its caption are inputted. Source: [link] ODISE utilizes both large-scale diffusion models and text-image discriminative models.

Computer Vision 40

Computer Vision Categorization Deep Learning Robotics 40

Google Research AI blog

FEBRUARY 14, 2023

In “ Socratic Models ”, we showed that this approach can achieve state-of-the-art performance in zero-shot image captioning and video-to-text retrieval tasks. An emergent capability from closing the loop on LLM-based task planning that we saw with Inner Monologue is that the robot can react to changes in the high-level goal mid-task.

Robotics 139

Robotics LLM Algorithm Computer Vision 139

IBM Journey to AI blog

OCTOBER 16, 2023

ML also provides the ability to closely monitor a campaign by checking open and clickthrough rates, among other metrics. At Slack, ML powers video processing, transcription and live captioning that’s easily searchable by keyword and even helps predict potential employee turnover.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129