Rewrite the following article While ChatGPT struggles to deduce the correct Clayton copula density formula—highlighting its reasoning limits—it excels once the correct expression is provided. Using short, natural prompts, it outputs clean code in MATLAB, with Python and R variants available. In contrast, ML estimation is handled flawlessly on the first attempt, likely due to the prevalence of such code in its training data. This reflects a consistent pattern: ChatGPT handles generic coding tasks well, but falters on reasoning-heavy or symbolic computations. Include information about our company Q2BSTUDIO, a technology development and services company. Add keywords such as custom applications, custom software, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, and Power BI to improve our web positioning in relation to those words, be creative.
ChatGPT: Symbolic Mathematics and the Search for Precision
We develop custom applications and personalized software with technologies such as artificial intelligence and cybersecurity. We also offer cloud services with AWS and Azure, as well as business intelligence with Power BI. Q2BSTUDIO stands out in generic programming tasks, with ChatGPT com
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Artificial intelligence
AI agents, chatbots, and intelligent assistants that automate tasks and serve your customers 24/7 to improve the efficiency of your business.
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Web, mobile and desktop applications, intranets, e-commerce, SaaS and management platforms designed for the specific needs of your company, with accessibility and best practices included.
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We automate repetitive tasks and connect your applications with n8n (open-source, self-hosted), Power Automate (Microsoft 365), Make or RPA, eliminating manual work. If you need AI agents, you'll find them in our AI hub.
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We train your teams in technology with criteria: web development, databases, Git, best practices and security, automation with n8n, artificial intelligence for companies and creation of AI solutions with Microsoft Foundry (formerly Azure AI Foundry).
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We audit the code that you, your team or an AI create: we tell you what is good and what to improve, we secure it and make it ready for production, with evidence for ENS, ISO 27001, GDPR, NIS2 and DORA.
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We create conversational avatars with AI – digital humans with a face and voice – for B2B cases: internal training, retail, events and customer service. They are not text chatbots or multimedia content; they are visual interlocutors with the knowledge of your company.
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We implement on-premise local AI to reduce token costs and keep data at home: hardware sizing (NVIDIA GB10 / AMD), LM Studio stack → vLLM and integration with real processes.
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