Wow AI: Your End-to-End AI Training Partner

Empowering Global Success:
Your End-to-End AI Training Partner

Overview

Wow AI is your ultimate AI training partner, offering a comprehensive platform for end-to-end AI development. Our platform includes diverse foundation models in NLP, computer vision, and audio, all free to use. We also provide AI data products such as a huge pool of OTS datasets, custom data collection, data labeling services and crowdsourcing services.

About Us

AI Data Products

OTS dataset Custom data collection Labeling Crowdsourcing

Swiftly supercharge your AI training with our comprehensive OTS dataset in multiple formats. Featuring over 100,000 hours of diverse audio data, including multilingual real call center interactions, medical dictations, and synthetic audios, as well as an extensive collection of high-quality DICOM-format medical datasets and images. Our rare and budget-friendly data is your key to success in AI projects – explore it today!

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Embark on a data journey like no other for your ambitious AI training needs. Wow AI boasts a global network of over 170,000 contributors, ready to craft or collect data that's tailor-made for your project – whether it's text, images, audio, or video in a multitude of languages. Partner with us and redefine what's possible in your AI training endeavors.

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Unlock annotation possibilities at scale with our ML-powered platform. Whether it's audio, image, lidar, or text, we provide comprehensive, cost-effective annotation solutions with the power of automation, backed by popular foundation models, and the expertise of our cost effective human-in-the-loop approach, ensuring precision and scalability across all domains.

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Empower your crowdsourcing projects with our expansive network of 170,000+ global contributors, spanning diverse backgrounds and proficient in over 120 languages. Whether it's data validation, large-scale data collection, or enhancing search engine accuracy, our crowd stands ready to assist you in any domain.

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AI Platform

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A built-in LLM- Powered
Data Crawler
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One-stop-shop for AI development
Data curation, auto labeling, auto training, demo
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Diverse Pre-Trained and Foundation
Model Factory
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Train or Fine-tune Your LLMs with RLHF
Global Workforce
05

Full Control over Security and Privacy
On Premise or Cloud
Your Comprehensive

AI Platform

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Foundation Models

NLP Computer Vision Audio

Bloom

BLOOM is an open-access multilingual language model that contains 176 billion parameters. It is capable of following human instructions in dozens of languages. It is designed to continue text from a given prompt using vast amounts of text data and industrial-scale computational resources.

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Llama 2

Meta developed and released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters...

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GPT 3.5

GPT 3.5 is an advanced conversational artificial intelligence language model developed by OpenAI. It has been trained on a diverse range of internet text to generate human-like responses in natural language conversations....

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GPT-J

GPT-J is a GPT-2-like causal language model trained on the Pile dataset with 6 billion parameters. GPT-J is intended to generate text in a variety of contexts, such as chatbots, language translation, and content creation...

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FLAN-T5

FLAN-T5 was released in the paper Scaling Instruction-Finetuned Language Models - it is an enhanced version of T5 that has been fine-tuned in a mixture of tasks. Flan-T5 is intended to be used as a conversational AI assistant, capable of answering questions, providing explanations, and engaging in interactive dialogue with users...

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Grounding DINO

Open-set object detector that by combines a Transformer-based detector DINO with grounded pre-training. It can detect arbitrary objects with human inputs such as category names or referring expressions. Useful for zero shot object detection tasks...

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Yolo8 Object Detection

Ultralytics YOLOv8 is the latest version of the acclaimed real-time object detection and image segmentation model. YOLOv8 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy...

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YOLOv8 Classification

Ultralytics YOLOv8 is the latest version of the acclaimed real-time object detection and image segmentation model. OLOv8 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy. The YOLOv8 image classification model is designed to detect 1000 pre-defined classes in images in real-time...

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YOLOv7

YOLOv7 is the fastest and most accurate real-time object detection model for computer vision tasks. It was introduced to the YOLO family in July'22. YOLOv7 established a significant benchmark by taking its performance up a notch. The models are trained using the COCO dataset entirely.

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YOLOv6

YOLOv6: a single-stage object detection framework dedicated to industrial applications. OLOv6 Nano model has achieved an mAP of 35.6% on the COCO dataset. Also, it runs at more than 1200 FPS on an NVIDIA Tesla T4 GPU with a batch size of 32.

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Detectron2

Detectron2 is Facebook AI Research's next-generation library that provides state-of-the-art detection and segmentation algorithms. It includes implementations for the following object detection algorithms: Mask R-CNN, RetinaNet, Faster R-CNN, RPN, Fast R-CNN, TensorMask, PointRend, DensePose.

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SAM (Segment Anything Model) 2D & 3D

SAM (Segment Anything Model) was released by Meta. It is an AI model that can segment any object in an image or video with a single click. SAM is trained on a massive dataset of over 1 billion masks, which allows it to generalize to new types of objects and images. SAM has learned a general understanding of what objects are...

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Meta MMS (Massively Multilingual Speech)

MMS supports speech-to-text (ASR) and text-to-speech for 1,107 languages and language identification for over 4,000 languages. It was released by Meta. The Massively Multilingual Speech models outperform existing models and cover 10 times as many languages.

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Watch-on-demand Events

1

How to create an AI mindset/ AI literacy in a business
by Andreas Welsch - SAP
2

Increasing Organizational Maturity by Adopting AI/ML through the End-to-end Lifecycle for Increasing Business Value
by Ali Arsanjani - Google Cloud
3

Data Mesh at Practice - How to enable Data Sharing at Scale in Enterprises
by Patrick Klingler - Mercedes- Benz
4

Explainability and Ethics in Healthcare AI
by Patrick Bangert - Searce
5

AI and Web 3.0
by Steve Nouri - AI4Diversity , Wand
6

Challenges and Solutions for Adopting AI & ML in your Enterprise
Panel Discussion
7

Epistemic artificial intelligence
by Prof Fabio - Oxford Brookes, Oxford University
8

How to build a responsible applied AI at scale
by Noelle Silver - Accenture
9

Challenges in Applied Conversational AI
by Aravind Ganapathiraju - Uniphore
10

NTIS – A Pathway for Data Innovation and AI in the U.S. Federal Government
by Dr. Ola Olude-Afolabi - U.S. Dept of Commerce
11

How to transform a company using AI
by Camila Manera - LIBRODEPASES
12

AI Breakthroughs are Far Away? We Need More Augmentation
by Dr. Jeffrey Funk - NUS
13

AI applications in the automotive space
by David Von Dollen - ex Volkswagen
14

Why need to maintain focus on Data when starting your next AI/ML project
by Aamar Hussain- ex Microsoft
15

Generative AI Use Cases and Impact for Enterprises
by Panelists from Cisco, Qualcomm, SAP, AWS, Oracle
16

Governance and AI Ethics
Panel Discussion