AI Development

Some figures on AI development

• Over $200 billion invested in AI globally in 2023

• 37% of organizations have implemented AI in some form

• $1.8 trillion expected AI market value by 2030

• 70% of companies are exploring or implementing AI solutions

• AI can automate up to 45% of repetitive tasks

What is AI development?

AI development involves creating applications that leverage artificial intelligence, machine learning, and automation technologies. These solutions can process data, make predictions, automate tasks, and provide intelligent insights to help businesses make better decisions and improve operational efficiency.

The benefits of AI applications are numerous and enable businesses to automate repetitive processes, gain valuable insights from data, improve customer experiences, and create competitive advantages through intelligent automation.

At Terros, we develop intelligent AI solutions based on cutting-edge technologies and proven methodologies, tailored to your specific business needs.

What are the technologies of AI development?

Many technologies and frameworks exist for developing AI applications. Here are the main ones.

Python

The primary programming language for AI and machine learning. Python offers extensive libraries such as NumPy, Pandas, and Scikit-learn, making it the standard choice for data science and AI development.

TensorFlow

Open source machine learning framework developed by Google. TensorFlow enables building and deploying machine learning models at scale, with support for deep learning, neural networks, and production deployment.

PyTorch

Open source machine learning framework developed by Meta. PyTorch is known for its flexibility and ease of use, making it popular for research and production AI applications, particularly in deep learning.

Private LLM Models

Proprietary large language models provided by leading AI companies, accessible through their APIs. The most well-known include OpenAI GPT-4, Anthropic Claude, and Google Gemini. These models enable integration of advanced natural language processing, text generation, and conversational AI capabilities into applications through RESTful API interactions.

Open Source LLM Models

Freely available and customizable language models that can be deployed on your own infrastructure. Popular open source LLMs include Meta Llama, Mistral AI, and various community-developed models. These models offer greater control over data privacy and can be fine-tuned for specific use cases, often integrated through APIs or direct model deployment.

Other AI Types

Beyond language models, various specialized AI algorithms serve different purposes. Computer vision algorithms like Tesseract OCR enable text extraction from images, while other vision models handle object detection, image classification, and facial recognition. These specialized AI types are typically integrated through APIs or embedded libraries, providing targeted solutions for specific business needs.