GPT-4: The Most Advanced Language Model to Date?

*Con la colaboración de Eduardo Matallanas y Javier Cantón.

What is GPT-4?

GPT-4 is a multimodal LLM (Large Language Model), i.e. it accepts inputs of different nature. It is based on artificial intelligence and designed for natural language text generation. This model is the latest in the GPT (Generative Pretrained Transformer) family and presents a greater learning capacity thanks to the inclusion of more data volume for training.

The model can now compose songs, write scripts, develop software, or learn the user’s writing style with much higher accuracy and quality than previous versions. In addition, thanks to its multimodal nature, it also accepts images as input, which greatly expands its capabilities.

New Features of GPT-4

Among the new features presented in the GPT-4 technical report, we highlight:

• GPT-4 is a multimodal model that processes images and text as input and generates text as output. It uses an architecture based on Transformer, a deep learning model consisting of stacked decoder blocks that use different neural networks and incorporate the attention mechanism. The model training and alignment process consists of two steps:
  • First, the model is trained with a large amount of multimodal data including images and texts from different domains and sources. These data are obtained from various public repositories, such as Common Crawl, Wikipedia, ImageNet, and Conceptual Captions. The goal of training is to predict the next token in a document, given a sequence of previous tokens and optional images.
  • Second, the model is aligned after training with a manually labeled dataset containing verifiable facts and desired behaviors. These data are obtained from reliable sources, such as encyclopedias, textbooks, and professional guides. The goal of alignment is to adjust the model’s parameters so that its outputs are more factual and adherent to desired behaviors.

• The results of the model on several tasks and datasets show that GPT-4 performs competitively better than the state of the art on most of the tasks evaluated. Some of the tasks are:
  • Conditional text generation, which consists of generating a text given a context or an instruction.
  • Reading comprehension, which consists of answering questions about a given text.
  • Machine translation, which consists of translating a text into another language.
  • And visual reasoning, which consists of inferring information from images or combinations of images and text.La comparación del modelo con otros existentes revela que GPT-4 tiene varias ventajas y desafíos.

• The comparison of the model with other existing models reveals that GPT-4 has several advantages and challenges.

• • Some of the advantages are its ability to handle multimodal inputs; its human-level performance on various professional and academic tests; its flexibility to adapt to different domains and tasks without retraining; its robustness to ambiguous inputs; its ability to generate coherent and informative outputs.
  • Some of the challenges are its high computational and environmental cost, which will probably be optimized in the coming months, but, right now, its tendency to reproduce biases or errors present in the data is a factor to be taken into account: it can sometimes present untruthful information. In addition, by creating content probabilistically, given a given input, it can lead to generalized conclusions; therefore, it is desirable to have a human review of all content created by the AI.

GPT-3 vs. GPT-4

• The main difference, as we have already mentioned, is that it is a multimodal model that processes images and text as input. With previous versions, only text was supported as input.
• A significant difference with GPT-3 is that it has gone from sending 4096 tokens to the API to 32,000 tokens, which is an important advance since it allows the creation of increasingly complex and specialized texts and conversations.
• The new version of GPT has a larger training set volume than GPT-3. While GPT-3 was trained with 17 gigabytes of data, the company’s latest version contains 45 gigabytes of training data.
• Finally, GPT-4 has improved its problem-solving capabilities by offering greater responsiveness with solutions and text generation that mimic the style and tone of the context.

ChatGPT Benefits for Businesses

Cost Savings

The main advantage is that the model is already trained: OpenAI provides an interface that understands human language perfectly, both written and spoken; therefore, it helps to search for information in business documents and systems in a very agile and efficient way. However, it must be taken into account that there will be certain more complex use cases where fine-tuning of the model will be necessary, which implies training; but, even so, it is cheaper than building a custom-made project from scratch.

Reduced Time and Increased Employee Productivity

The main benefits that companies see right now to incorporating this technology are:

• The reduction of time spent searching for information in different documents.
• The ability to summarize large amounts of text.
• The possibility of speeding up the creation of texts; therefore, improving process efficiency and employee productivity.

GPT Use Cases

The followings are the primary use cases or applications of OpenAI in our businesses:

• Advanced customer support.
• Document management and access to information in real-time.
• Information classification.
• Sales-oriented chatbots.
• Emotion analysis (extracted from reviews, customer communication, etc.).
• Programming empowerment (create code from natural language/explain code/translate code/correct errors).
• Enhanced design (combine with human designs and AI-generated elements).
• Automatically generated reports for data analysis.
• Personalized response automation.
• Service or product recommendations.
• SEO-optimized content.
• Call center integration to improve user experience.
• Improved accessibility, translations, and transcription of videos.
• Web code generation through sketch images.

Steps to Incorporate Chat GPT in Your Company

If you are interested in incorporating Chat GPT into your business, we invite you to learn about our OpenAI Adoption solution, a program that will help you incorporate and take advantage of the benefits of generative AI in your organization.

If you want to know more, do not hesitate to contact us: