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| File Name: | Generative Ai Startup Strategy Case Studies |
| Content Source: | https://www.udemy.com/course/generativeaistartups/ |
| Genre / Category: | Other Tutorials |
| File Size : | 4.5GB |
| Publisher: | udemy |
| Updated and Published: | May 14, 2023 |
Ever since ChatGPT was made available to the general public, everybody is talking about how it will impact the world as we know it.
ChatGPT is a generative pre-trained transformer (GPT) built on top of OpenAI’s GPT-3 family of large language models (LLMs). Generative AI is trained on vast amounts of data that enable it to understand and respond like a human. It helps create new content from previously created content. It can write and debug computer programs, compose music, plays, and student essays, and answer test questions.
OpenAI’s Journey and Financials
OpenAI was originally founded in 2015 with a stated goal of promoting and developing friendly AI in a way that benefits humanity as a whole. Sam Altman, Elon Musk, Greg Brockman, Reid Hoffman, Jessica Livingston, Peter Thiel, AWS, Infosys, and YC Research pledged over $1 billion to the venture.
In 2019, OpenAI entered into a $1 billion deal with Microsoft. For using Azure Cloud Platform, it would give Microsoft the first opportunity to commercially leverage early results from OpenAI’s research. Microsoft has invested an additional $2 billion and also become a key backer of OpenAI’s Startup Fund, OpenAI’s AI-focused venture and tech incubator program.
OpenAI charges developers licensing its technology about $0.0004 to $0.02 to generate 750 words of text and about $0.016 to $0.020 to create an image from a written prompt. It expects revenue of $200 million in 2023 and $1 billion by 2024. It has been valued at $20 billion in a secondary share sale.
OpenAI’s Competitor Landscape – Bard, Cohere, Stability AI
Within a month of its launch, ChatGPT had answered queries for over 1 million users. This raised questions about the threat to Google’s dominance in the $200 billion online search market. Google has recently introduced Bard, a conversational AI service powered by Language Model for Dialogue Applications (LaMDA). It expects to soon have AI-powered features in Search to process multiple perspectives into easy-to-digest formats.
Google will be releasing Bard initially with a lightweight model to make sure Bard’s responses meet a high bar for quality, safety and is grounded in real-world information. Next month, it will start onboarding individual developers, creators, and enterprises so they can try its Generative Language API.
There are several lesser-known startups working on varied use cases. Cohere, which has a Google Cloud Partnership, plans to introduce a new dialogue model to let enterprise users generate text and engage with the model to refine the output. It has raised $175 million so far from investors including Index Ventures, Tiger Global and AI luminaries Geoffrey Hinton, Fei-Fei Li, and Pieter Abbeel. It is looking to raise more funds at a valuation of $6 billion. I like Cohere for its B2B strategy and its stated focus on supporting developers who want to piggyback and build applications on their platform.
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