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AI-Powered Job Automation Software
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The discussion revolves around the Perplexity AI's agent framework called Comet, which acts as an AI browser capable of performing various tasks on behalf of users. This technology can automate routine tasks such as checking schedules, sending meeting requests, and following up with emails. Entrepreneurs can leverage this concept to create a software solution that targets businesses seeking to enhance productivity by automating small, repetitive tasks. The target audience would include administrative professionals and recruiters who typically handle numerous scheduling and communication tasks. The implementation could involve developing a user-friendly interface where users can input commands in plain language, and the AI takes care of the execution. This could be monetized through subscription fees, particularly appealing to companies aiming to improve operational efficiency without significant workforce reductions.
Small Language Model Consulting Service
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The episode highlights the increasing interest in small language models (SLMs) over large language models (LLMs) for specific applications in businesses. An entrepreneur can create a consulting service that helps companies identify and implement SLM solutions tailored to their specific industry needs, such as finance, marketing, or customer service. This service would involve assessing a company's requirements, recommending appropriate SLMs, and facilitating their integration into existing workflows. The target audience would include medium to large enterprises looking to enhance their operational efficiency and data accuracy through specialized AI applications. The consulting service could charge based on project scope or retainers, making it a viable revenue stream as companies increasingly adopt AI technologies.
Custom AI Training Data Marketplace
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The conversation touches on the growing need for specialized training data to enhance the functionality of both small and large language models. Entrepreneurs can create a marketplace that connects businesses needing custom training data with data providers who can create or source that data. This platform can facilitate transactions where companies can publish their data needs and data providers can offer tailored datasets. The target audience would include AI startups, tech companies, and enterprises looking to develop or improve their AI models. Monetization could occur through transaction fees or subscription models for companies that want continuous access to a pool of data. This marketplace would help streamline the AI development process and enhance the quality of AI outputs.
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