Generative AI is Machine Learning (ML) techniques that allow computer models to create new realistic content such as images, text, audio and video. Gen AI focuses on developing algorithms and models capable of generating new and original data that resembles the patterns and characteristics of existing data. Unlike traditional AI models that are trained to recognize and classify data, generative AI models are designed to create entirely new data samples.
Human feedback can play a crucial role in improving and fine-tuning generative AI models for image generation. Incorporating human feedback helps generative models produce more realistic, relevant, and desired images.
Here's how our human feedback can assist generative AI images:
Human feedback play a crucial role in improving Large Language Models and here are a few ways how we are assisting our customers,
Create realistic and artistic images of various subjects, environments, and scenes from language prompts.
Build conversational interfaces such as chatbots and virtual assistants to enhance the user experience for your customers.
Create new pieces of original content, such as short stories, essays, social media posts, and webpage copy.
Search, find, and synthesize information to answer questions from a large corpus of data.
Get a summary of textual content, such as articles, blog posts, books, and documents, to get the gist without having to read the full content.
Help customers find what they’re looking for with more relevant and contextual product recommendations than word matching.
Objectways has been engaged in many Generative AI projects across multiple customers and labeling platforms for the past 8 months. Here are few sample projects we have been engaged with,
In today's visual-centric landscape with ease using ImageSummarize.com. Amidst the deluge of online images, our expertise lies in leveraging advanced tech for concise image summarization. Empowering comprehension, analysis, and informed choices, we simplify intricate visual data through cutting-edge solutions.
The project involves interacting with a fitness chatbot on a particular topic and ranking the response on scale (1:10) for understanding, helpfulness, coherence, completeness, accuracy, language quality, relevance, user experience, style, error handling and ideal response.
A large shoe and apparel company wanted to build a natural language search application. The task involved creating search terms (aka prompts) for images to build a training dataset. During evaluation tasks, annotators were to rank images in the order of their relevance with respect to search.
A stealth start up is building an art studio that has Image generation capabilities. Objectways human evaluators perform assessments of various aspects such as realism, content relevance, artifact detection, diversity evaluation, style and aesthetics, safety and content moderation.
At Objectways, we have developed a multi-level hiring process to ensure the hiring bar is kept higher. We have 400+ skilled language experts and access to a broader skilled pool. We typically look for graduates in Arts, Media & Communication, Journalism. The process includes following