First of all, what is GPT-4 and how does it work?
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model created by Open AI. It was released on March 14,2023. GPT-4 can solve difficult problems with greater accuracy.
It supports both text and image inputs as well as a combination of both. GPT-4 is available on Chat GPT plus and as an API for developers to build applications and services.
Features of GPT-4:
The following are the some of the features of GPT-4
Improved accuracy
Enhanced multilingual capabilities
Expanded knowledge base
Safer and more aligned
Better understanding of context
Greater flexibility
ChatGPT vs GPT-4:
Both Chat GPT and GPT-4 uses AI technology to interact with humans and to perform various tasks. Chat GPT is a Chatbot that uses a combination of natural language processing and Machine Learning to provide conversational AI solution for business. It differs from GPT-4 in terms of architecture and capabilities.
One of the most significant differences between them is their intended use cases. GPT-4 is designed to be a more general-purpose language model, capable of handling a wide range of tasks, including language translation and content creation.
On the other hand, ChatGPT is specifically designed to generate text-based on human inputs, making it deal for chatbots and customer service interactions. Another difference between these two systems is their training data. GPT-4 is expected to have access to much larger datasets than ChatGPT. GPT-4 is expected to have more advanced algorithms that can handle more complex natural language processing tasks.
Limitations of GPT-4:
Open AI also notes some of the limitations of GPT-4. It says that the model still has problems with the following areas
Social biases
Hallucinations
Adversarial prompts
Data requirements
Lack of transparency
Difficulty in Interpreting results
How GPT-4 will impact the future of tech jobs:
The impact of AI models like ChatGPT on jobs can be both positive and negative, depending on various factors. One of the primary areas where GPT-4 is expected to have an impact on the job market is in the automation of language - related tasks. GPT- 4's ability to generate human - like language and perform various language - related tasks could lead to the automation of tasks that were previously done by humans, such as content creation, translation and summarization.
GPT-4 can cause significant job losses in industries such as journalism, content creation and translation. Its ability could replace human writers and journalist in creating new articles, blog posts and other type of content. The potential impact of GPT-4 on income inequality is also a concern. Open AI claims that GPT-4 not only outperforms existing large language models but can perform well on several types of exams meant for humans, including the LSAT, the SAT math section, Leet code, various AP test, and even the theory knowledge portion of sommelier test.
While there are concerns about job losses, there are also potential opportunities for the job creation with the development of GPT-4. The increasing demand for AI and NLP technologies could lead to the creation of new jobs in fields such as AI development, data analysis and Machine Learning. It does not seem likely that even a sophisticated model will successfully replicate human attributes such as creativity, effective teamwork, leadership skills, multitasking, problem solving skills and intuition.
Future of data science with GPT-4:
Our potential concern with the use of AI in data science is the potential for these systems to make mistakes or produce biased results. Like all AI systems, GPT-4 is only good as the data it is trained on. If the data consist of bias, this bias can be amplified by these systems, thus generating non-objective results.
As data professionals, it is normal for us to feel a little bit uneasy about the rise of AI-based systems. But the truth is AI is not a threat, but a powerful ally. For example, from a business perspective, GPT-4 cannot interpret the results with a strategic vision, much less make decisions based on the data.
Conclusion:
The arrival of the GPT-4 represents a significant milestone in the world of AI, data science and in all domains. Its potential to transform traditional industries is immense, and its impact will undoubtedly be felt across all sectors. As we embrace this exciting new technology, it is essential to remain vigilant about the potential challenges and ethical considerations that come with it.
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