With enhanced features, performance and accuracy, GPT-4 promises to set a new standard for conversational artificial intelligence (AI). GPT-4, the latest version of OpenAI’s cutting-edge language model, is now available to the public. This AI system offers new functions that are delivered more accurately and quickly. All the primary features remain, but the software now supports multi-modal input in the form of text and images.
GPT-4, or Generative Pre-trained Transformer 4, is trained on huge amounts of data. Unlike ChatGPT, which is designed for conversational language, GPT-4 and its predecessor GPT-3 are general purpose models that can be used for a wider range of tasks. Users can adjust the data parameters of the GPT-4 models and use them with third-party applications. Essentially ChatGPT is a service as-is, while GPT-4 can be used to create customised software that makes use of a large language model (LLM) as part of the application.
GPT is now multi-modal
The latest version of GPT offers multi-model input. This means users can input text or images in the prompt and the LLM is able to interpret them. For example, a user can include a picture in the prompt and ask the model to describe it, asking what is unusual about it. With varying degrees of success, GPT-4 is able to complete this task.
What’s perhaps more useful, is the ability to use hand-written prompts. When introducing the upgrade in the GPT-4 Developer Livestream, OpenAI showed how the model could turn a photograph of a simple handwritten text description into usable code for a website.
In previous versions, GPT had limitations in terms of short-term memory capacity. This affected the length of questions it could handle and the answers it could provide. However, with the latest update in GPT-4, it has significantly improved its ability to process and handle up to 25 000 words of text from the user.
Users can now input longer texts, such as a novella or a web link, and GPT-4 can effectively digest and comprehend the content in one go. This expanded memory capacity also enables GPT-4 to better understand and retain context in conversations, even in lengthy exchanges.
This advancement in GPT-4’s memory capacity is particularly beneficial for programmers who rely on these AI tools for coding tasks. It can generate more advanced and accurate code because it can better understand the context and build complete functions in multiple programming languages.
In addition to improved capacity and memory, GPT-4 also boasts these new features:
- Enhanced problem solving abilities: GPT-4 is now capable of tackling more complex problems, including those that require multiple steps or intricate solutions.
- Improved natural language processing (NLP): With its advanced engine, GPT-4 demonstrates higher accuracy in tasks such as sentiment analysis, translation and text summarisation compared to previous versions.
- Reduced errors: GPT-4 has significantly minimised instances of “hallucination”, where it generates inaccurate or nonsensical outputs by approximately 40% in comparison to GPT-3.
Ongoing advancements in GPT development
GPT-4 heralds a new era in the field of AI language models, pushing the boundaries of what was previously deemed possible just a few months ago. Its capabilities in generating code, explaining it, crafting compelling writing and assisting with research are truly remarkable.
Despite these advancements, OpenAI acknowledges that the language model still has limitations. Similar to previous versions, GPT-4 may exhibit issues such as social biases, hallucinations and vulnerabilities to adversarial prompts. OpenAI, however, is actively working to address these limitations and further enhance the model’s performance.
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