Generative AI is a type of artificial intelligence that creates new content, such as images, audio, or text, from learned input data. Unlike previous forms of AI, GenAI approximates the human capacity for knowledge synthesis and creativity. For the first time, machines have the capacity to become autonomous creators and not just passive tools.

Generative AI models must be trained on huge datasets, much of which is scraped off the web using headless browsers. As many devs are now discovering, scraping data is even more valuable for “fine-tuning” existing models for dedicated use-cases, where your output will depend entirely on the quality and specificity of your input sources. As the value of data increases, working around authentication and anti-bot measures becomes increasingly important.

Similarly, the industry is waking up to the potential of designing autonomous GenAI agents, granting the agents varying degrees of internet access. For example, rather than writing a dedicated test for every edge-case in your app, you might instead educate a model to act as a QA engineer. Such an agent could continuously explore different paths through your app, notifying you of any broken or unexpected behavior. (Yes, the technology now exists.)

How can BrowserCat help with generative AI?

BrowserCat offers your direct access to a global fleet of headless browsers with nearly unlimited scale. Do you want to develop a data aggregation pipeline for always-updated GenAI models? Do you want to give your models access to the web? Either way, we can help!

Try BrowserCat today, and lead the next generation of the technological revolution.

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