Key differences between ChatGPT-3.5 and GPT-4 explained

The evolution of models of Artificial Intelligence de OpenAI has marked a before and after in the field of technology. From the arrival of ChatGPT-3.5 to the revolutionary GPT-4, there are many advances that have redefined our interaction with machines. But do we really know the differences y improvements between these models? This article delves into it so you can discover how these advances can impact your projects and the daily use of tools based on IA.

From the increase in the indictment From more complex tasks to the integration of multimodal capabilities, each generation of these models brings with it innovations significantHowever, it is also important to understand the limitations and the context in which each version excels. So if you want to know which model best suits your needs, this detailed analysis will be of great use to you.

Key innovations of GPT-4 compared to GPT-3.5

With the release of GPT-4, OpenAI has not only improved key aspects of its previous model, but also introduced entirely novel features that expand the scope of what artificial intelligence can achieve. Here are some of the advances highlights:

• Multimodal capacity: One of the most impressive features of GPT-4 is its ability to process both text and images. This means that it is now possible to load images into the model for it to interpret and generate descriptions, analysis, or even code based on the visual content.
• Greater precision and fewer hallucinations: GPT-4 is positioned as a more reliable model, significantly reducing common errors detected in its previous versions. According to OpenAI’s white paper, the probability of generating “unreliable” answers has been reduced by a range of 19% to 29% compared to GPT-3.5.
• Expanding the context window: This model offers a much larger context window, allowing more tokens to be processed in a single interaction. This translates into the ability to handle longer and more complex texts, which is ideal for tasks such as extensive summarization or analysis of entire documents.

Technical differences between GPT-3.5 and GPT-4

While GPT-3.5 already represented an impressive advance in the world of artificial intelligence, GPT-4 has redefined what we can expect from a language model.

1. Processing power: GPT-4 uses a larger and more sophisticated architecture, allowing it to handle tasks of greater complexity. This includes everything from solving advanced mathematical problems to performing legal or medical analysis with a impressive precision.

2. Creative capacity: On a creative level, GPT-4 not only generates solutions methodologies, but it also produces texts more naturally. From scripts adapted to the user's writing style to songs, its level of linguistic sophistication puts it a step ahead of its predecessor.

3. Security in responses: While GPT-3.5 required manual adjustments to avoid inappropriate responses, GPT-4 incorporates preventive measures built into its system. This makes it a more efficient model. Safety to interact in sensitive environments.

4. Customizable settings: GPT-4 allows you to create custom versions tailored to specific use cases, using specific instructions to meet the needs of your application. needs of each user or business.

Featured use cases for GPT-4

The potential of GPT-4 is not limited to solving complex technical problems. Its versatility makes it an ideal tool for multiple sectors:

• Content generation: From blogs to social media posts, GPT-4 makes it easy to create engaging, web-optimized texts. SEO.
• Image interpretation: Ideal for industries such as photo editing or e-commerce, where GPT-4 can generate image-based product descriptions.
• Education: Thanks to its multilingual capability, GPT-4 can act as a language tutor or be used to explain complex concepts in different subjects.

Accessibility and costs

GPT-4 is available to subscribers of Chat GPT Plus for a monthly cost of approximately 20 USD. However, its free version on platforms such as Bing Chat expands its accessibility, albeit with certain technical limitations. For those looking to make the most of this tool, there are also adjustments through the OpenAI API.

Limitations and challenges

Despite its advances, GPT-4 is not without its problems. One of the most notable is its tendency to “hallucinate” information, that is, invent data when it has no clear answer. In addition, its training data set ends in September 2021, which limits it in terms of information. updated.

The computational requirements and costs associated with GPT-4 may be an obstacle for small businesses, making GPT-3.5 a more viable alternative in certain cases.

GPT-4 represents a qualitative leap in the field of artificial intelligence, standing out for its ability to process multiple types of data and generate more accurate and secure responses. The choice between GPT-3.5 and GPT-4 will depend on the needs y resources of each user, both being robust and capable options in the world of natural language processing.