Published on December 5, 2023, 12:30 pm
Large language models (LLMs) have become increasingly accessible in recent years. With the release of ChatGPT and the availability of models like GPT-4, it may seem simple to develop an AI assistant by implementing these technologies. However, relying solely on the technology itself is not enough to make your app stand out.
In today’s market, access to similar models is widespread, and any advancements in technical knowledge are quickly replicated by competitors. The true differentiator lies in the application layer. Companies that can identify and address real user problems are better positioned to succeed.
This means that innovation often comes from experimenting with product design and features. TikTok provides a perfect example of how product ingenuity can lead to success. While not a generative AI application, TikTok has captured a massive audience through its unique approach.
It would be easy to attribute TikTok’s success solely to its algorithm, but other recommendation engines are also powerful. Content-based filtering, which suggests similar content based on user preferences, and collaborative filtering, which recommends content based on what people with similar tastes enjoy, are fundamental principles behind these systems.
What sets TikTok apart is the way it packages its algorithm and presents content to users. The endless stream format encourages viewers to quickly move through videos by swiping, providing valuable data for the algorithm. Additionally, TikTok offers user-friendly creator tools that allow anyone to film and edit videos directly from their smartphones without any prior video production experience.
Today, competition among short-form video apps goes beyond just having an engaging algorithm. Other factors such as building a loyal user base, offering creator revenue share programs, implementing effective content moderation strategies, and providing additional features contribute to standing out in this space.
In conclusion, while large language models have become more accessible than ever before, simply utilizing these models is not enough for an AI product to succeed. Companies must focus on understanding and solving genuine user problems while also experimenting with innovative product features and design. TikTok’s success highlights the importance of packaging algorithms in novel ways and providing users with an engaging and user-friendly platform. By considering these factors, companies can position themselves to stand out in the competitive AI landscape.