A change is happening, and businesses are being driven to consider how to make the most of larger language models; however, as with any new sophisticated technology, actually doing it can be a tricky process, particularly for those that are not so technically minded.
AirOps, a fresh enterprise, is in the correct position at the correct moment, assisting firms make use of these advanced abilities to create AI-driven applications dependent on large language models. Recently, the company revealed a seeded round of $7 million, which was closed at the start of 2019.
Alex Halliday, the CEO and co-founder of the company, explains that there is a difficulty businesses face when trying to utilize the newfound interest in LLMs. He states, “There exists a big chasm which has to be filled between the excellent abilities that are provided by programs like ChatGPT, and the complex tasks faced by the business. That is why we are creating a platform which allows individuals to build custom solutions on top of these algorithms that will cause a quantifiable impact in the business sector.” Halliday shared this information with TechCrunch.
The firm is presently aiding patrons in constructing apps based on GPT-4, GPT-3, and Claude. The objective is to aid customers in carrying out tasks such as automating activities, obtaining insight from data, creating specialized content and using natural language processing approaches, as stated by the firm.
Halliday expresses that current customers desire means to use their data, content, and LLMs collectively to form new content from their current body of work or create an AI experience above their existing software.
The company emphasizes making sure customers can use the models in a cost-effective way. It is fascinating that a larger model can be used to train a smaller, specifically tuned open source model. This can be used for the first couple months, as he indicated.
AirOps is equipped to assist you in tackling each step. According to the representative, they are gaining knowledge on the best recipes and structures to utilize, but anticipate that the sledgehammer technique of trying to do everything at once will eventually be replaced with a more precise and intellectual way of accessing all of the options one has.
The organization opened its doors a year ago with the intent of aiding in getting valuable information from their business data. However, as the concept of LLMs became a popular topic of discussion, the firm changed its aim. The representative commented, “When we examined the application of LLMs to the data sector, we realized that a greater possibility was aiding people in combining LLMs with their data to build tailored processes and programs.” They moved their concentration to that strategy last autumn.
The company currently has 14 workers, with vacancies still open. Halliday points out that this staff come from multiple backgrounds and have varying levels of experience. He is especially conscious of the importance of having a multifaceted employee base as the company expands. He noted, “We have been very broad-minded when it comes to employing people from a variety of backgrounds with varying levels of expertise.”
The venture capital firm Wing VC spearheaded a $7 million initial funding round, which was joined by Founder Collective, XFund, Village Global, Apollo Projects, and Lachy Groom.