Using AI to Automatically Create Content
At Xyonix, we use state of the art artificial intelligence to automatically generate content ready for human consumption.
Modern AI content generation algorithms are typically trained on millions or billions of media items including text, audio, images and video. During this typically sequential training, the algorithms get very good at understanding patterns in human communication. This understanding can then be harnessed to author text, for example, that is nearly indistinguishable from human authored text.
“Xyonix helped us take our technology and product to the next level. What the team was able to accomplish in just a few months was extremely impressive.”
—Werner Koepf, CTO @ Conversica, Inc., PhD [more]
AI Driven Video Summarizer
For an extremely rapidly growing startup, we built an AI system that transforms lengthy, often instructional videos into concise, optimized segments. The system cleanses transcripts, then leverages LLM models we fine tuned using training data meticulously annotated by a combination of other LLMs and our human team at Xyonix. It's adept at extracting key topics, generating summaries, easing navigation, and producing short, impactful videos in various formats. Already in public use and benefiting millions daily, this system is a game-changer for educational and instructional content, making complex information more accessible and engaging.
Video Content Creator
In collaboration with a rapidly growing startup, we've crafted an AI-driven solution for helping users rapidly create high-quality video content by automatically analyzing user generated movie scripts and identifying optimal video assets for inclusion in short videos. Our role extended beyond data science; we engineered and now host a fully scaled system. This platform excels in generating scene text and keywords, leveraging semantic search within a bespoke imagery index, and creating video metadata from video frames. Designed to facilitate the production of engaging videos and scripts for social media and advertising, this service is robust, fully managed, and caters to millions of users daily.
Virtual Intake Specialist
We helped a company build a powerful virtual intake specialist that automatically communicates with patients to route them to the best care for their condition. Our AI system listens to patients and asks them just the right follow up questions, much like a traditional intake nurse might, to help schedule the best care option. [Read more]
Medical Treatment Author
We worked closely with a company to empower consumers with readily accessible quality health information by building systems that read large volumes of unstructured medical texts using deep NLP relation parsing techniques, and automatically authored millions of web pages. Our work resulted in site traffic growth of 10,000% averaging 6% week over week growth. The site attracted primarily physicians, physician specialists, and other researchers due in large part to the quality of the automatically generated text.
Sales Lead Conversation Bot
We worked closely with executives and data scientists of a major automated sales lead generation system to define an AI path forward that enabled their system to not only understand conversations, but to also generate responses for human consumption. We were able to efficiently extend one conversational domain from the recognition of just a handful of response categories, to over 50, all with very high accuracy.
In this article, we explore some practical uses of AI driven automated text generation. We demonstrate how technologies like GPT-3 can be used to better your business applications by automatically generating training data which can be used to bootstrap your machine learning models. We also illustrate some example uses of language transformations like transforming english into legalese or spoken text into written.
The application of AI in creative spaces like music and art is not new, but recent years have seen a dramatic expanse in machine learning capabilities in music composition. AI is being used by researchers and startups to compose soundtracks and soundscapes, and to create original songs within the style of specific genres and artists. Just as work by writers regularly appears alongside robot authors in sports, financial, and other news, Human musical artists are increasingly sharing the stage with artificial intelligence.
Within this last year alone, there has been a paradigm shift in model development as research groups are ingesting (nearly) the entire world's worth of information on the internet to train massive deep learning models capable of performing fantastic or frightening feats, depending on your perspective. In this article, we explore an AI compositional technology, known as generative modeling, and demonstrate its ability to simulate human-realistic text.