The creative future of generative AI Massachusetts Institute of Technology

What is Generative AI?

And Google plans to bring Gemini models to dev tools for Chrome and its Firebase mobile dev platform around the same time, in early 2024. In AI Studio, Google’s web-based tool for app and platform developers, there’s workflows for creating freeform, structured and chat prompts using Gemini Pro. Gemini Pro is also available via API in Vertex AI, Google’s fully managed AI developer platform, which accepts text as input and generates text as output. An additional endpoint, Gemini Pro Vision, can process text and imagery — including photos and video — and output text along the lines of OpenAI’s GPT-4 with Vision model. Artificial intelligence lets computers emulate human thought and perform tasks that mimic the human brain. Machine learning refers to algorithms that allow computers to identify patterns, make decisions, and improve themselves through experience.

What is Generative AI?

Examples include glimmers of logical reasoning and the ability to follow instructions. Some labs continue to train ever larger models chasing these emergent capabilities. Another limitation of zero- and few-shot prompting for enterprises is the difficulty of incorporating proprietary data, often a key asset. If the generative model is large, fine-tuning it on enterprise data can become prohibitively expensive.

Current Popular Generative AI Applications

As long as your data can be converted into this standard, token format, then in theory, you could apply these methods to generate new data that look similar. Many companies will also customize generative AI on their own data to help improve branding and communication. Programming teams will use generative AI to enforce company-specific best practices for writing and formatting more readable and consistent code. ChatGPT’s ability to generate humanlike text has sparked widespread curiosity about generative AI’s potential. For example, business users could explore product marketing imagery using text descriptions.

What is Generative AI?

Generative AI generates new content, and has turned into a tool to produce articles, music, art, and videos. But to truly understand Generative AI, it’s important to understand where in the broader spectrum of AI technologies. Many of the predictions that structure human experience concern our own internal physiological states. For example, we experience thirst and hunger in ways that are deeply anticipatory, allowing us to remedy looming shortfalls in advance, so as to stay within the correct zone for bodily integrity and survival.

Conclusion and Future Outlook

For example, ChatGPT won’t give you instructions on how to hotwire a car, but if you say you need to hotwire a car to save a baby, the algorithm is happy to comply. Organizations that rely on generative AI models should reckon with reputational and legal risks involved in unintentionally publishing biased, offensive, or copyrighted content. As you may have noticed above, outputs from generative AI models can be indistinguishable from human-generated content, or they can seem a little uncanny.

Google has since unveiled a new version of Bard built on its most advanced LLM, PaLM 2, which allows Bard to be more efficient and visual in its response to user queries. Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person. ChatGPT can produce what one commentator called a “solid A-” essay comparing theories of nationalism from Benedict Anderson and Ernest Gellner—in ten seconds. It also produced an already famous passage describing how to remove a peanut butter sandwich from a VCR in the style of the King James Bible.

So if they’ve learned a lot about pop music, you could ask them to compose a pop song, and they won’t have a problem doing so. The composed music would then be an expression of the composer’s understanding of what pop music should look like based on what they’ve learned. Similarly, the product of generative AI is an expression of the AI model’s understanding of the underlying concepts learned from its training data. Generative AI is an exciting new technology with potentially endless possibilities that will transform the way we live and work. Traditionally, AI has been the realm of data scientists, engineers, and experts, but now, the ability to prompt software in plain language and generate new content in a matter of seconds has opened up AI to a much broader user base.

What is Generative AI?

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