AI Development

GPT-4o Mini: Next-Level Textual Intelligence has been Released!

GPT-4o Mini by Open AI

OpenAI is one of the leading organizations when it comes to making Artificial Intelligence (AI) accessible and more accurate over time. It wasn’t long ago when OpenAI released their new model, “GPT-4o” (“o” for “Omni”). GPT-4 Omni was released on May 13th, 2024. Just a couple of months later, OpenAI is back at the forefront with another revolutionary model. This model is more efficient, faster, and cheaper – that too, being the smallest of the GPT-4 series – GPT-4o Mini!

Seamless Collaboration | Cost-Efficient Solutions | Faster Time-to-Market

how does ai reduce human error

Advancements in ChatGPT to GPT-4o Mini:

ChatGPT is an advanced language model developed by OpenAI, designed to generate human-like text based on the input it receives. It’s built on the GPT (Generative Pre-trained Transformer) architecture, which uses machine learning techniques to understand and generate text that is coherent and contextually relevant. ChatGPT can perform a wide range of tasks, including answering questions, writing essays, generating creative content, and stimulating conversations.

Advancements in ChatGPT to GPT-4o Mini

ChatGPT Models:

ChatGPT has undergone several iterations, with each new model improving upon the previous ones in terms of capability, efficiency, and accuracy. Here’s an overview of the different models:

1. GPT-1:

The first version of the GPT series was introduced in 2018. It had 117 million parameters and demonstrated the potential of large-scale unsupervised learning for natural language understanding and generation.

2. GPT-2:

Released in 2019, GPT-2 significantly increased the model size to 1.5 billion parameters. It showed a substantial improvement in generating coherent and contextually accurate text. OpenAI initially withheld the full model due to concerns about misuse but later released it for research and development purposes​.

3. GPT-3:

Launched in 2020, GPT-3 is a massive model with 175 billion parameters. It marked a significant leap in performance, capable of generating highly coherent and contextually relevant text across various tasks. GPT-3 powers many applications, including chatbots, content creation tools, and coding assistants​​.

4. GPT-4 Series:

GPT-4, introduced in 2023, further enhances the capabilities of its predecessors with improvements in reasoning, coding, and multimodal processing. It supports text and image inputs, making it versatile for various applications.

An optimized version of GPT-4, GPT-4 Turbo offers similar high-level performance with enhanced speed and efficiency, suitable for real-time interactions and dynamic content generation​​.

GPT-4o is an optimized version focusing on maintaining high performance while reducing computational requirements. It’s suitable for environments where resource efficiency is crucial without compromising quality​.

The newest addition, GPT-4o Mini, is a streamlined version designed to deliver high-quality language understanding and generation with even lower computational demands. It’s ideal for resource-constrained environments like mobile devices or edge computing​.

Capabilities and Applications:

ChatGPT models are used in a variety of applications, including:

  1. Customer Support: Automating responses to common queries and providing 24/7 support.

  2. Content Creation: Assisting in writing articles, blogs, and social media posts.

  3. Education: Serving as a tutor or assistant for explaining concepts and answering questions.

  4. Healthcare: Helping with preliminary diagnosis and providing medical information.

  5. Entertainment: Creating interactive stories and engaging conversational experiences.

Each new iteration of ChatGPT has expanded its capabilities, making it a powerful tool for businesses, developers, and individuals seeking to leverage advanced AI for a wide range of applications.

GPT-4 Models - Here’s What this Series Offers:

GPT-4 Models - Here’s What this Series Offers

1- GPT-4:

GPT-4 is a highly advanced language model developed by OpenAI, known for its superior natural language understanding and generation capabilities. It can perform complex tasks such as content creation, translation, and conversational AI with remarkable accuracy.

2- GPT-4 Turbo:

GPT-4 Turbo offers the same high-level performance as GPT-4 but with enhanced speed and efficiency. It’s designed for applications that require rapid processing and response times, making it ideal for real-time interactions and dynamic content generation.

3- GPT-4o:

GPT-4o is an optimized version of GPT-4, focusing on maintaining high performance while reducing computational requirements. It’s suitable for environments where resource efficiency is crucial without compromising the quality of language tasks.

On 18th July 2024, OpenAI announced GPT-4o Mini, another member of the GPT-4 series. Curious about GPT-4o mini? Let’s find out!

GPT-4o Mini: What’s New?

Released on 18th July 2024, OpenAI’s latest model, GPT-4o Mini, is a remarkable advancement in the world of AI, designed to offer high performance at a significantly reduced cost. Tailored for efficiency, it serves as a robust alternative to larger models, making sophisticated AI accessible to a broader range of applications and users.

Key Features of GPT-4o Mini:

Key Features of GPT-4o Mini

1. Enhanced Performance:

  1. GPT-4o Mini excels in mathematical reasoning and coding tasks, outperforming previous smaller models such as Gemini Flash and Claude Haiku. It scored 87.0% on MGSM for math reasoning and 87.2% on HumanEval for coding performance​.

  2. In multimodal reasoning (evaluated using MMMU), it achieved a score of 59.4%, demonstrating its capability to handle complex, multimodal tasks effectively.

2. Built-In Safety Measures:

  1. Safety is a cornerstone of GPT-4o Mini’s design. It incorporates the same stringent safety protocols as its larger counterpart, GPT-4o. These measures include pre-training filters to exclude harmful content and post-training alignment through reinforcement learning with human feedback (RLHF)​.

  2. The GPT-4o mini model employs an instruction hierarchy method to resist jailbreaks, prompt injections, and system prompt extractions, ensuring reliable and secure responses.

3. Multimodal Capabilities:

GPT-4o Mini supports both text and vision inputs, expanding its utility across various domains. Although text, image, video, and audio support are in development, the current focus on text and vision allows for a wide range of applications, from document analysis to image captioning​.

4. Cost Efficiency:

One of the standout features of GPT-4o Mini is its affordability. It costs 15 cents per 1M input tokens and 60 cents per 1M output tokens, roughly equivalent to processing 2500 pages of standard text. This pricing makes it an attractive option for developers and businesses looking to integrate advanced AI without incurring high costs.

5. Availability and Integration:​

GPT-4o Mini is available through various APIs, including the Assistants API, Chat Completions API, and Batch API. It is also accessible to Free, Plus, and Team users of ChatGPT, with Enterprise access following soon after. Fine-tuning capabilities will be rolled out shortly, allowing users to customize the model for specific tasks​​.

What Makes GPT-4o Mini Stand Out?

Math and Coding Proficiency is what makes GPT-4o mini better than the other. The GPT-4o mini model demonstrates superior mathematical reasoning and coding skills, surpassing other small models available. On the MGSM assessment, which evaluates mathematical reasoning, GPT-4o mini achieved a score of 87.0%, outshining Gemini Flash’s 75.5% and Claude Haiku’s 71.7%. In terms of coding proficiency, measured by the HumanEval test, GPT-4o mini scored 87.2%, significantly higher than Gemini Flash’s 71.5% and Claude Haiku’s 75.9%.

Real-World Applications of GPT-4o Mini:

Early adopters of GPT-4o Mini have reported significant improvements in efficiency and cost savings. For instance, integrating GPT-4o Mini in Google Apps Script for tasks like summarization, grammar correction, and data analysis has enhanced productivity while reducing costs by over 60% compared to GPT-3.5 Turbo​​. This demonstrates its potential to streamline workflows and improve accuracy across various industries.

GPT-4o vs. GPT-4o Mini: The Awaited Comparison:

Both models promise enhanced performance and efficiency, but they cater to different needs and use cases. In the following comparison, we’ll explore the distinctions and features of these two cutting-edge models to help you determine which best suits your requirements.

GPT-4o vs. GPT-4o Mini: The Awaited Comparison

Seamless Collaboration | Cost-Efficient Solutions | Faster Time-to-Market

how does ai reduce human error

Conclusion:

OpenAI’s latest model, GPT-4o Mini, represents a significant leap forward in the realm of artificial intelligence. Released on July 18th, 2024, combines high performance with remarkable efficiency, making it an excellent choice for environments where computational resources are limited. With enhanced capabilities in mathematical reasoning, coding, and multimodal tasks, GPT-4o Mini is designed to deliver robust performance at a lower cost, democratizing access to advanced AI technology.

The incorporation of stringent safety measures and support for text and vision inputs ensures reliable and versatile applications across various domains. Its affordability and availability through multiple APIs make it accessible to a broad range of users, from individual developers to large enterprises.

Ali Hasan Shah, Technical Content Writer of Kodexo Labs

Author Bio

Syed Ali Hasan Shah, a content writer at Kodexo Labs with knowledge of data science, cloud computing, AI, machine learning, and cyber security. In an effort to increase awareness of AI’s potential, his engrossing and educational content clarifies technical challenges for a variety of audiences, especially business owners.

Related Blogs

Read More Blogs

See What’s Trending in Tech World With our Blogs