openai

Introducing GPT-4o-2024-08-06: OpenAI's Latest Multimodal Marvel

Tal Peretz

Aug 30, 2024 — 2 min read

OpenAI has unveiled its latest advancement in artificial intelligence, the GPT-4o-2024-08-06 model. This new version of the GPT-4o model is multimodal, accepting both text and image inputs and producing text outputs. It is renowned for its exceptional intelligence, efficiency, and superior performance across non-English languages.

Efficiency and Cost

The GPT-4o-2024-08-06 model offers a significant reduction in costs, being 50% cheaper for input tokens and 33% cheaper for output tokens compared to its predecessor. The new pricing is set at $2.50 per 1 million input tokens and $10.00 per 1 million output tokens, making it more accessible for a broader range of applications.

Performance Enhancements

This model has demonstrated remarkable improvements in performance benchmarks. According to LiveBench, it achieved an average score of 56.71, surpassing the previous version's 54.63. Additionally, it leads the ZeroEval Leaderboard with an impressive average score of 88.5275.

Structured Outputs

One of the standout features of GPT-4o-2024-08-06 is its support for Structured Outputs. Developers can now specify exact JSON Schemas for the model's outputs, ensuring that the generated content adheres to specific formats. This feature significantly enhances the model's utility for applications requiring precise output structures.

Fine-Tuning Capabilities

GPT-4o-2024-08-06 offers fine-tuning options, allowing developers to customize the model with their proprietary datasets. OpenAI provides 1 million free training tokens per day for GPT-4o and 2 million for GPT-4o-mini until September 23, 2024. This enables developers to tailor the model to meet specific requirements, such as setting style, tone, and format, improving reliability, correcting failures, handling edge cases, and acquiring new skills.

Technical Specifications

The model boasts a context window of 128,000 tokens and can generate up to 16,384 output tokens. It has been trained on data up to October 2023, ensuring it is up-to-date with recent information.

Availability

The GPT-4o-2024-08-06 model is available through the OpenAI API and has been integrated into Microsoft Azure, providing seamless access for developers and enterprises.

Conclusion

With its significant advancements in cost efficiency, performance, and customization capabilities, the GPT-4o-2024-08-06 model represents a major leap forward in AI technology. Whether you are a developer looking to fine-tune a model to your specific needs or an enterprise seeking to leverage AI for improved performance, this model offers unparalleled value and functionality.

Unleashing Creativity with Stability.SD3-Large-V1:0 on Amazon Bedrock

The advent of Stability.SD3-Large-V1:0, a revolutionary text-to-image model, marks a significant milestone in the realm of generative AI. Integrated into Amazon Bedrock, this model is designed to transform how digital assets are created, offering unparalleled performance and quality in image generation. Model Architecture and Performance At the heart

Unlocking the Potential of Bedrock/Meta-Textgeneration-Llama-2-7B with AWS SageMaker

The Bedrock/Meta-Textgeneration-Llama-2-7B is a cutting-edge Large Language Model (LLM) developed by Meta as part of the Llama 2 series. This series ranges from 7 billion to 70 billion parameters, with the 7B model offering a balance of size and capability. Its development involved Supervised Fine-Tuning (SFT) and Reinforcement Learning

Exploring Azure AI's Phi-3-Medium-128K-Instruct: A Revolutionary LLM

Azure AI's Phi-3-Medium-128K-Instruct is a breakthrough in the field of language models, bringing forth a dense decoder-only Transformer model with 14 billion parameters. This model, part of Microsoft's Phi-3 family, stands out for its impressive performance across a wide range of benchmarks, making it a go-to

Unlocking the Potential of Azure AI's Phi-3.5-MoE-Instruct: A New Era in Artificial Intelligence

The Azure AI Phi-3.5-MoE-Instruct model, a groundbreaking addition to Microsoft's Phi-3.5 series, is revolutionizing the landscape of artificial intelligence with its innovative architecture and impressive capabilities. Model Architecture At the heart of the Phi-3.5-MoE-Instruct is the Mixture-of-Experts (MoE) model architecture, which includes 16 experts, each