If you are a Gen AI developer, you are always looking for new models and tools, best suited for your projects. Let’s find out more about FlowGPT and look at the wonders it has made with its marvelous service to AI users worldwide.
FlowGPT: Everyone You Must Know About
FlowGPT is a store of Gen AI tools that access various Generative AI models such as Google’s Gemini, Open AI’s DALL-E 3, Anthropic’s Claude, and Meta’s Llama 2. You will also get the front-end experience for these tools firsthand hand such as giving prompt suggestions and trying out text fields.
You can now say goodbye to all of your hassles as a developer, easily try new tools, and get the work done quickly with FlowGPT.
FlowGPT was founded in 2023 by Jay Dang a UC Berkeley dropout in Computer Science and also by co-founder Lifan Wang, a former engineering manager at Amazon. Thanks to the two geniuses of developers, now users can share a similar vision of developing their own Gen AI tools.
The application has a similar chat window-like interface to most Gen-AI-based tools such as ChatGPT and Gemini. FlowGPT is composed of prompts, which are the building blocks of the store. When you search for your recommended tool via the search bar, you get various prompt models as responses.
For example, when you search for a trending model such as ChatGPT on FlowGPT’s search bar you get the following prompt models as responses:
On trying out the Image Generator Prompt model you get a chat window interface like the images shown below where you can give your text-based suggestions and have your images generated.
So, now you know how it works.
How FlowGPT benefit Creators?
FlowGPT has been described by founder Dang as a GenAI-powered app “ecosystem” consisting of various tools and infrastructure connected to a marketplace and user base of GenAI apps. Based on popular categories (such as “Creative,” “Programming,” “Game,” and “Academic”), users are presented with a feed of recommended apps and app collections.
Also, creators can alter the design and behavior of GenAI apps based on their preferences and recommendations.
Software development before LLMs required a full team of qualified engineers, designers, and product managers. A lot of issues remained unaddressed as a result of the high cost and specialized knowledge needed to create software solutions.
The creators of FlowGPT, Jay Dang and Lifan Wang, were aware of this problem and saw how LLMs could help everyone by providing natural language (prompts) for the creation of AI-native apps. Jay and Lifan founded FlowGPT, the largest AI app store, and community, to democratize software development through AI. Users may explore, utilize, and build AI-native applications that are fueled by creators’ creativity.
The Edge Over ChatGPT
ChatGPT is heavily used. If you use FlowGPT for an extended period, you will also discover that many of the prompts stop working when the default model is changed. Occasionally, the chosen model may not have the necessary features. On other occasions, the prompt encounters a model’s defenses and filters.
However, it allows for a switch from the conventional AI models’ usage which has a lot of ethical and safety issues associated with them. Most of FlowGPT’s apps are designed as a system to impose limitations on their use and regulate the model’s safety measures.
ChatGPT can be used explicitly without any limitations across various platforms even after OpenAI has introduced several ethical rules and regulations to monitor its content. FlowGPT creates a barrier between the usage and ethics of Gen AI tools. One of these barriers comes in the form of both Censored and Uncensored prompt models for ChatGPT.
Many of these apps, such as those that promote themselves as reliable health resources and those that are therapeutic, have the potential to be harmful. One study found that an older version of ChatGPT rarely gave referrals to particular options for aid relating to suicide, addiction, and sexual assault. GenAI models like ChatGPT are infamously lousy at providing health advice.
Any app on FlowGPT that contains explicit content and offends users or offers harmful advice can be reported to the community management of the platform for review. Furthermore, FlowGPT has a toggle for “sensitive content.”
Got $10 Million in Funding
In February 2024, FlowGPT raised $10 million in a Pre-Series A round. Lead investors in the round included DCM, a worldwide early-stage venture capital firm that led the company’s last round while it was still in stealth, and Goodwater Capital, the largest venture capital fund in the world devoted purely to consumer technology.
With the money, FlowGPT plans to grow its engineering and research staff internationally. Front-end and back-end developers, mobile developers, and personnel for operations and products are all being actively sought by the organization. The funds will also be utilized to create a more vibrant and interesting community.
“We believe the biggest future for AI is in open ecosystems. FlowGPT is helping to lead the way by building the largest open platform for AI apps, with the widest choice for users and with the most flexibility and freedom for creators to choose their models and collaborate with their communities.”
Coddy Johnson, Partner at lead investor Goodwater Capital.
Since its founding in January 2023, the startup FlowGPT has drawn millions of customers each month from 110 different countries. More than 100,000 AI apps for usage on LLMs, including ChatGPT, Google PaLM, and open-source models like Pygmalion, have been created by FlowGPT’s active user community.
Conclusion
Flow GPT is a great step ahead in encouraging developers to build their own Gen AI models and form their communities. It also offers an ethical switch from traditional AI models such as Google’s Gemini and OpenAI’s ChatGPT. However, we must not forget that the app store comes with a lot of limitations that must be kept in mind.
