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AI & Automation

Official Release of GPT-4 and How the New Multimodal Model Outperforms Its Predecessor

Aigars Armanovs Aigars Armanovs
• 15.03.23. • 4 min read
Editorial Note (2026 Context)

The March 2023 release of GPT-4 marked the beginning of the multimodal era. In 2026, we work with models like GPT-4o, Claude 3.5 Sonnet, and Google Gemini, which not only analyze text and images but also independently execute business workflows through API integrations. Learn more in our business automation section.

On March 14, 2023, OpenAI made a long-awaited announcement by officially launching its next-generation artificial intelligence model - GPT-4. While the previous GPT-3.5 model was revolutionary in text generation and conversational understanding, GPT-4 marks a transition into an entirely different category. It is a multimodal model capable of analyzing not just text but also images, demonstrating human-level performance in complex professional and academic exams. This milestone significantly expands the boundaries of enterprise automation.

Key Takeaways

  • Multimodal Capabilities: The model accepts both text and image inputs, analyzing charts, sketches, tables, and screenshots.
  • Massive Context Window: GPT-4 supports processing up to 25,000 words in a single query (roughly a 50-page document analysis).
  • Factual Accuracy Leap: Compared to GPT-3.5, hallucinations and factual errors have been reduced by 40-60%.
  • Higher Logical Reasoning: The model successfully passed the US Uniform Bar Exam scoring in the top 10% of test-takers, whereas the previous version fell into the bottom 10%.

Technological Innovations of GPT-4 Compared to the Previous Generation

Although the interface for ChatGPT Plus users may appear similar on the surface, the underlying logic and architecture of the model have undergone massive development. The main differences can be divided into four core areas:

GPT-4 technological innovations
Four fundamental pillars of GPT-4: multimodal analysis, massive context, reliability, and complex problem-solving

Practical Business Applications Available Today

For companies seeking practical value to improve their everyday processes, GPT-4 opens entirely new doors:

1. Analysis of Complex Financial and Data Reports. Thanks to the large context window, businesses can feed the model full annual reports, competitor audit data, or balance sheets and ask it to identify trends and anomalies.

2. Programming Code Auditing and Development. GPT-4 demonstrates impressive capabilities in debugging code, scripting API integrations, and architecting complex website feature logic.

3. Converting Visual Sketches Into Code. During the live presentation, OpenAI demonstrated how GPT-4 wrote fully functional HTML and JavaScript code within seconds based on a hand-drawn website sketch on a napkin.

4. Customer Support Automation with Deep Context. The model understands multi-step customer requests, factoring in internal company policies and previous communication history without relying on stereotypical robotic responses.

Official OpenAI GPT-4 Developer Video

Watch the official demonstration by OpenAI co-founder Greg Brockman from the live GPT-4 presentation:

Official OpenAI GPT-4 demonstration video featuring real model tests and code generation

Conclusions and Preparation for the New AI Era

The release of GPT-4 confirms that artificial intelligence is rapidly becoming a foundational technology, much like the internet or mobile phones once did. Companies that learn to integrate these tools into their marketing, data analysis, and customer service today will gain a massive speed and cost-efficiency advantage over their competitors.

If your business wants to implement smart digital solutions and combine the power of artificial intelligence with a well-crafted marketing strategy, reach out to our team via the contact page or learn more about our digital services.

Frequently Asked Questions About GPT-4

How can I gain access to the GPT-4 model?
Access to GPT-4 is currently available to paid ChatGPT Plus subscribers, as well as software developers via the OpenAI API waitlist. The model is also partially integrated into the new Microsoft Bing search engine.
Why does GPT-4 run slower than GPT-3.5?
Because GPT-4 is a significantly larger and more complex model with vastly more parameters and a deep logical reasoning mechanism, generating each response word requires higher computational resources.
Can GPT-4 completely replace programmers and lawyers?
No, the model does not replace professional accountability, legal risk assessment, or system architecture comprehension. It acts as an extremely powerful assistant that automates routine tasks and helps find optimal solutions faster.

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Aigars Armanovs

Aigars Armanovs

SEO & GEO Architect & AI Lead | Founder of MMN

Founder of MarketMeNow, SEO & GEO Architect, and AI Automation Strategist with 15+ years of hands-on experience scaling e-commerce and B2B companies.

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