New York artificial intelligence team Nous Research, a group of "technical teenagers" known for creating "personalized, unlimited" language models, recently made a new move - they launched a brand new model reasoning API. This marks that this AI organization, which has always seemed a bit "unrestrained", has begun to deliver its proud language model to the broader number of developers and researchers through programmatic interfaces.
Nous Research has always attracted much attention for challenging the "shackles" of large AI companies such as OpenAI and Anthropic. Their slogans sound like a "liberal" flavor. Now, they have finally decided to package this "freedom" into an API so that more people can experience it.
The first batch of APIs are equipped with two celebrity products: one is the heavyweight general model Hermes3Llama70B based on the Meta Llama3.1 architecture, and the other is the reasoning model DeepHermes-38B Preview , which was released last month, which can flexibly switch between standard reply and detailed "chain-of-Thought, CoT). This is like providing developers with two options: "luxury package" and "affordable" ones.
However, it is not as simple as placing an order directly if you want to try this "AI express". Nous Research has created a first come first served waitlist system**. Of course, in order to appease the users in line, they also thoughtfully prepared a free $5 credit for each new account.
On the one hand, this operation is technically to cope with the possible peak demand. After all, compared with those large manufacturers with "money capabilities", Nous may indeed be "short in cash" in GPU resources.
But on the other hand, this "limited supply" is undoubtedly a smart marketing method, creating a "sense of scarcity", making people even more curious about what they are selling.
Interestingly, this Nous Research, which looks a bit "independent", chose to align with OpenAI's API design pattern in API design, including completions and chat completions interfaces.
This is a seamless connection for developers who are already familiar with the OpenAI interface, and can easily integrate Nous's models into their applications. This also reflects that while Nous adheres to its own philosophy, it also shows pragmatic business considerations. After all, convenience is the bottom line.
Just four months ago, Nous Research just launched their first user interface chatbot, Nous Chat. Prior to this, they have been focusing on releasing open source models for users to deploy locally.
In the past, if users wanted to deploy these models, they needed to download the code themselves and run it locally. This was undoubtedly a time-consuming, tedious and possibly expensive "physical work". Now, through APIs, developers can directly use high-performance models without worrying about infrastructure. This marks an important step forward for Nous Research from a purely open source model to a more sustainable business model.
The launch of the API reflects Nous Research's efforts to pursue a commercialization path while adhering to the open source principle. While exposing the weight of the model, they generate revenue through commercial deployment. This is like walking a tightrope, which not only ensures that the "free" soul is not bound, but also allows the "body" to live healthily.
This hybrid model is obviously intended to attract different user groups: individual developers and researchers can still download and run models for free, while those pursuing reliability, convenience and performance optimization can choose to use the API for a paid time.
Over time, Nous Research said their inference services will continue to expand and may include more featured models, such as Hermes2Pro, which is good at function calls, and their Psyche project. For AI startups that innovate based on open source models, Nous Research's API undoubtedly provides a new option, breaking the existing landscape, potentially exacerbating competition in the field of AI inference and driving further technology.
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