Development of adaptive AI
- 40+
Team members
- 70+
AI solutions
- 5+
Years of experience
Unlock full potential with our adaptive AI development services
We assess your business goals and requirements to identify the potential of AI in your business and build a roadmap for AI implementation that outlines the strategies to solve your most challenging business problems with AI.
Custom adaptive AI model-based solutions development
Maintenance and upgrade
Model integration and deployment
Data engineering
Technology stack for adaptive AI
AI frameworks
Cloud platforms
Integration and deployment tools
Programming languages
Databases
Our technical expertise in adaptive AI development
Machine learningOur developers have extensive knowledge of machine learning techniques, including continual, supervised and unsupervised learning, deep reinforcement learning, and attention mechanisms, enabling seamless integration of adaptive AI models into existing systems.
Deep learningOur developers have expertise in deep learning algorithms and their underlying neural networks like RNNs, CNNs, and long short-term memory (LSTM) networks that help adaptive AI models to learn data and make predictions automatically.
Natural language processing (NLP)Our team of adaptive AI experts can incorporate Natural Language Processing (NLP) into your application for efficient sentiment analysis, text processing, and named entity recognition. NLP can also be utilized for developing chatbots and virtual assistants.
Computer visionWith expertise in utilizing top-notch tools, frameworks and libraries like TensorFlow or PyTorch, our team develops robust computer vision algorithms and techniques, including image classification, object detection, segmentation and scene understanding.
Cloud computingSkilled in using cloud computing technologies, like Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS), that provide access to large data sets, our developers can safely deploy and scale your adaptive AI solutions.
Predictive analyticsOur developers have expertise in developing adaptive AI-based solutions that use predictive analytics algorithms and techniques, including random forests, decision trees and gradient boosting, facilitating businesses to make data-driven decisions based on real-time data.
AI models we have expertise in
AI models we have expertise in
GPT-3A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
- Davinci
- Curie
- Babbage
- Ada
GPT-3.5A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.
GPT-4A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
DALL.EDALL.E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.
WhisperWhisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
EmbeddingsOpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
ModerationModeration models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.
Stable DiffusionStable Diffusion generates detailed images from text prompts and can also be used for tasks like inpainting, outpainting, and image-to-image translations guided by text.
MidjourneyMidjourney is an AI-powered image generator that creates images in response to textual prompts. The images produced by Midjourney feature a distinct artistic flair.
BardGoogle's Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.
LLaMALLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures.
FAQs
Adaptive AI development refers to the process of building AI systems that can automatically adjust and improve their performance based on feedback from the environment or user interactions.
Examples of adaptive AI include recommender systems that learn from user behavior to make better recommendations, chatbots that improve their responses based on user feedback, and autonomous vehicles that adjust their driving behavior based on real-time sensor data.
Adaptive AI can improve system performance, enhance user experience, and reduce the need for manual intervention or programming.
Challenges of developing adaptive AI include managing complex data sets, addressing issues of bias and fairness, and ensuring the safety and reliability of the system.
Adaptive AI development refers to the process of building AI systems that can automatically adjust and improve their performance based on feedback from the environment or user interactions.
Examples of adaptive AI include recommender systems that learn from user behavior to make better recommendations, chatbots that improve their responses based on user feedback, and autonomous vehicles that adjust their driving behavior based on real-time sensor data.
Adaptive AI can improve system performance, enhance user experience, and reduce the need for manual intervention or programming.
Challenges of developing adaptive AI include managing complex data sets, addressing issues of bias and fairness, and ensuring the safety and reliability of the system.
Our artificial intelligence development process
Our artificial intelligence development process
Evaluation
Exploration
Pilot project
Development and deployment
Evaluation
Exploration
Pilot project
