Turkish defense firm Havelsan develops AI-based assistant
Baku, January 17, AZERTAC
Turkish defense firm Havelsan developed the country’s artificial intelligence (AI)-based virtual assistant specializing in natural language processing, scheduled to be made public Feb. 1, according to Anadolu Agency.
The AI-based assistant runs on the “indigenous GPT model,” or Generative Pre-Trained Transformer, a ground-breaking natural language processing model. It is trained on diverse data to deliver a wide range of text-based tasks, or depending on the version, it can process and understand multimedia.
Natural language processing, or NLP, refers to a computer’s ability to use and understand spoken and or written language akin to a human.
Osman Kavaf, the product engineer for Information and Communication Technologies at Havelsan, told Anadolu that the firm is conducting different projects on AI, developing specific algorithms on text and multimedia.
The name chosen for the GPT model, MAIN, is an abbreviation for Multifunctional Artificial Intelligence Network.
Generative AI models are trained with data input, which can be used to create text and media.
Kavaf said the company mostly proceeded on a project basis and started working on GPT models at Havelsan a year ago in anticipation of US-based OpenAI’s model, ChatGPT.
Kavaf said the first version of the GPT model is ready. “We, as Havelsan, agreed to take steps to ensure data security, especially considering the needs of public and military institutions, and we followed through with the project, as the first version of our indigenous GPT model is planned to be launched on Feb. 1.”
Features of the indigenous GPT model
Kayaf emphasized that the GPT model developed has the basic features of all models available for access, one of which is summarization. He assured that currently, the Havelsan-developed GPT can also generate computer code, allowing users to input different parameters to make iterations on the output.
Kavaf said the project was launched to ensure the data security of public and military institutions, adding that they want to develop a mechanism to provide public service in future versions.
Havelsan requires proprietary hardware to ensure data privacy
Regarding how the GPT model is accessed, Kavaf said it needs a proprietary hardware kit, a type of particular device like a “closed box,” to prevent data leaks.
Acknowledging that the way Havelsan employs the product is unlike any other, Kavaf said the company wants to use the model in all of its products. He added that, although outside the privacy goals, it may integrate cloud systems for remote access to the AI model in the future.
“Cloud integration does not stand out as a solution when handling sensitive and highly confidential data,” he said.
He emphasized that Havelsan is working with a project group of 20, mainly academics, and said the number of people involved is expected to gradually increase as the company plans to work with engineering students from universities with which they have agreements.
Kavaf said the company is planning a big event for AI for launch day on Feb. 1 at Havelsan, as it will then be showcasing the GPT model.
“We will start seeing AI in many different areas of our lives as the world becomes more aware of its potential. This first release of our model will be more text-focused, and we will add image and audio processing in future stages,” he added.
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