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How to Generate Human-Friendly Responses with GPT-4V: An In-Depth Review

During the development process, OpenAI encountered several issues that led to the postponement of this feature’s launch. OpenAI’s commitment to ethical AI prompted them to rigorously scrutinize the system for potential failures and ethical lapses. These assessments encompassed identifying harmful or illicit content, addressing inaccuracies tied to demographic factors such as race and gender, and guarding against cybersecurity vulnerabilities like CAPTCHA-solving and jailbreaking.

OpenAI also sought external input from scientists and medical professionals to validate the advice offered by GPT4-V, revealing several inaccuracies, particularly in scientific domains. For instance, GPT-4V exhibited inaccuracies when identifying chemical structures and poisonous foods.

Regarding disinformation and social harm, early iterations of GPT-4V displayed inappropriate comments on sensitive subjects, such as hiring decisions related to pregnancy or nationality. Additionally, the system failed to recognize symbols associated with hate groups or harmful language.

OpenAI’s rigorous testing efforts have resulted in significant improvements, rendering the system suitable for public use. Notably, 97.2% of requests for “illicit advice” are now denied, demonstrating a substantial enhancement in addressing such concerns.

However, OpenAI acknowledges that the system remains a work in progress. Fundamental questions persist concerning the behaviors the models should or should not engage in, including their ability to identify public figures in images and make accurate inferences about race, gender, or emotions from individuals in an image. The performance of GPT-4V in non-English languages also requires further refinement.

Users might encounter occasional inaccuracies, as exemplified by a research team at Microsoft discovering errors in GPT-4V’s responses to image prompts, such as misinterpreting a speedometer reading.

Utilizing GPT-4V

Although ongoing improvements are expected, GPT-4V’s current capabilities are undeniably impressive. Here are some ways in which ChatGPT Plus users are already experimenting with the technology:

  1. Get a Second Opinion: Users can seek GPT-4V’s feedback on creative works, including artwork and AI-generated creations from Dall-E.
  2. Answering Age-Old Questions: Engage GPT-4V to solve mysteries, such as finding “Waldo” in Where’s Waldo illustrations.
  3. Identify Obscure Images: Use GPT-4V’s image recognition skills for tasks like identifying historical maps.
  4. Write Code: Request GPT-4V to assist with coding tasks, from web page design to other programming challenges.
  5. Interpret Complex Diagrams: GPT-4V can be a valuable resource for understanding intricate diagrams, particularly in educational or professional contexts.
  6. Avoid Parking Tickets: Users have even turned to GPT-4V for advice on parking regulations, potentially offering legal insights.
  7. Identify Landmarks: When traveling or seeking information for educational purposes, GPT-4V can help identify landmarks in images.

With the continuous evolution of AI, the future remains uncertain. While past AI advancements have garnered considerable attention, their longevity is unpredictable. However, the initial insights from GPT-4V appear promising, particularly in the context of multimodal language models.

OpenAI’s commitment to improvement is evident in their investment in enhancing Dall-E’s image generation capabilities and their plans to integrate it into ChatGPT. The development of competing chatbots and AI capabilities, like Google’s potential integration of Lens into Bard, may further shape the AI landscape. While the trajectory of AI trends is uncertain, these developments suggest ongoing innovation in the field.



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