Our OpenAI Model-Powered Solution Developmnet Services

At nextrope, we specialize in developing solutions powered by OpenAI models, including ChatGPT. Our expertise in AI and machine learning allows us to create innovative applications that leverage the capabilities of these advanced models.

Fine-Tuning Pre-Trained Models

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We customize pre-trained models like GPT-3 and GPT-4 to meet specific business needs, enhancing their performance for targeted applications.

Custom Model Training

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We develop custom AI models from scratch, tailored to unique requirements, ensuring optimal performance and relevance.

Hybrid Aproaches

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We combine pre-trained models with custom solutions to create hybrid systems that leverage the strengths of both approaches.

Our Case Studies

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Alior Bank
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Soil
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Kinguin
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BNXT
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GOLDeX
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JMJ MACH
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Bank of Future
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Chialeaf
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Nextrope X

AI Models We Work With

GPT-3

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A state-of-the-art language model developed by OpenAI, capable of generating human-like text based on a given prompt. It can be used for various applications, including content creation, chatbots, and more.

GPT-3.5

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An improved version of GPT-3, offering enhanced performance and capabilities for natural language processing tasks.

GPT-4

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The latest iteration of OpenAI's language models, providing even more advanced text generation and understanding capabilities.

DALL-E

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A revolutionary AI model developed by OpenAI, capable of generating high-quality images from textual descriptions. DALL-E can create unique visuals for a wide range of applications, including marketing, design, and entertainment.

YOLO (You Only Look Once)

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A real-time object detection system that can identify and classify multiple objects within an image or video frame. YOLO is widely used in applications such as surveillance, autonomous vehicles, and robotics.

Whisper

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An advanced speech recognition model developed by OpenAI, capable of transcribing spoken language into text with high accuracy. Whisper can be used for applications such as transcription services, voice assistants, and more.

DQNN (Deep Q-Network)

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A reinforcement learning algorithm that combines Q-learning with deep neural networks. DQNN is used for training agents to make decisions in complex environments, such as gaming and robotics.

Bard

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An AI language model developed by Google, designed to generate human-like text and assist with various natural language processing tasks.

Stable Diffusion

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A powerful text-to-image model that generates high-quality images based on textual input. Stable Diffusion is known for its ability to create detailed and diverse visuals, making it suitable for various creative applications.

LLaMA (Large Language Model Meta AI)

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A collection of foundation language models developed by Meta (formerly Facebook). LLaMA models are designed to be efficient and effective for a wide range of natural language processing tasks.

MidJourney

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An AI-powered platform that generates high-quality images from textual descriptions, enabling users to create unique visuals for various applications.

BERT (Bidirectional Encoder Representations from Transformers)

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A transformer-based model developed by Google, designed to understand the context of words in a sentence by considering both the left and right context. BERT is widely used for various NLP tasks, including sentiment analysis, question answering, and more.

CLIP (Contrastive Language-Image Pre-training)

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A model developed by OpenAI that connects images and text by learning to associate visual concepts with their corresponding textual descriptions. CLIP can be used for tasks such as image classification, captioning, and more.

Moderation Models

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AI models designed to detect and filter inappropriate or harmful content in text, images, or videos. These models help maintain a safe and respectful online environment.

Chat GPT for a wide range of sectors

Our Chat GPT implementation services are tailored to the specific needs of various industries

Healthcare

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We implement Chat GPT for patient service automation, diagnostic support, medical documentation generation, and creating intelligent assistants for medical staff.

Finance

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We implement Chat GPT solutions for banking customer service, financial analysis automation, report generation, and support in compliance and risk management processes.

Retail

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We deploy Chat GPT as intelligent sales assistants, product recommendation systems, customer service automation, and tools for creating product descriptions and marketing content.

Entertainment

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We implement Chat GPT for creating interactive user experiences, generating creative content, automating content moderation, and supporting digital media production.

Education

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We deploy Chat GPT as virtual tutors, systems for automatic assignment grading, educational material generators, and intelligent support platforms for students and teachers.

Manufacturing

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We implement Chat GPT for technical documentation automation, quality control support, production process optimization, and intelligent resource management.

Agriculture

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We deploy Chat GPT for agricultural data analysis, reporting automation, support in agrotechnical decision-making, and farm management optimization.

Energy

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We implement Chat GPT for energy system monitoring, reporting automation, support in energy efficiency analysis, and power grid management optimization.

Marketing

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We deploy Chat GPT for marketing content creation automation, customer communication personalization, consumer data analysis, and advertising campaign optimization.

Real Estate

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We implement Chat GPT for customer service automation, property description generation, market analysis support, and intelligent matching of offers to client needs.

What is the Chat GPT implementation process?

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Needs analysis and use cases

We identify specific business needs and determine where Chat GPT can bring the greatest value - customer service, process automation, content creation, or data analysis.

2

System architecture design

We plan the technical architecture for Chat GPT integration with existing systems, define APIs, data flows, and security requirements for the specific implementation.

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Model configuration and customization

We configure Chat GPT for specific business requirements, create custom prompts, fine-tune the model, and implement quality control mechanisms for responses.

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Business systems integration

We connect Chat GPT with existing CRM, ERP systems, databases, and other business tools, ensuring smooth information flow and process automation.

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Testing and validation

We conduct comprehensive functionality, performance, and security testing, validate Chat GPT response quality and compliance with business requirements.

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Production deployment and training

We launch the solution in production environment, train teams on the new system operation, and provide technical and user documentation.

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Monitoring and continuous improvement

We monitor system performance, analyze usage metrics, collect user feedback, and continuously optimize Chat GPT to increase its effectiveness.

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European UnionEuropean Funds

NEXT ENTERPRISES LIMITED LIABILITY COMPANY

is implementing the project „Audit of smart contracts using artificial intelligence”

Project co-financed by the EU:
3 090 156,39 PLN