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Last week, we embarked on an exploratory project using OpenAI's O1, the latest large language model that's enhancing the landscape of software development. This wasn't about predicting potential; it was about real-time application and observation. Here’s a glimpse into how software developers and project managers leveraged O1 to refine their workflows, and what we’re anticipating with the upcoming cursor integration feature.
Our recent experiment with O1 provided concrete examples of how developers can dramatically enhance their efficiency and accuracy.
Typically, working on complex coding tasks with LLMs involves multiple rounds of prompting and iterating. Last week, our developers were tasked with creating intricate features using O1. To our amazement, a single, well-crafted prompt led to the generation of functional, near-complete code. This breakthrough promises a significant reduction in time to build new features.
Another significant observation was O1's ability to think about corner cases more clearly. Working with O1 on plan then execute mode is a clear step up compared to current models. Developers integrated the outputs of the planning step into their code generation prompt to success, significantly boosting the resilience and reliability of applications right from the start.
O1 also proved to be a valuable asset for project managers, streamlining the planning process for complex projects.
Using O1 at the project's initiation phase, our managers were able to outline tasks with unprecedented detail. This capability allowed for a thorough understanding of necessary components and dependencies, ensuring a comprehensive preparation that appears to pave the way for smooth project execution.
O1 also offered strategic insights that were instrumental in optimizing resource allocation and setting realistic timelines. These insights helped project managers align project execution strategies more closely with overarching goals, maintaining efficiency and budget control.
While we've already seen significant improvements in coding and project management, we are now waiting for the Cursor team to integrate this and offer it as part of the IDE. Cursor has emerged as the IDE of our choice and if they are able to add O1 to the model toolkit - it will cement their place.
Our hands-on week with O1 was a profound demonstration of how AI can transform software development practices. We are now urgently planning a wider rollout of O1-based workflows internally.
Our experiment with O1 and its results continue to highlight for us, the need to stay on top of the rapidly changing AI landscape. New tools quickly become game-changers and this is no time to rest on even last month’s innovation.
Our experiments with OpenAI’s O1 model provided a tangible look at how AI can revolutionize software development. By empowering developers and project managers with advanced tools like O1, we are setting new standards for efficiency and innovation. As we eagerly await the cursor integration feature, we continue to anticipate how these advancements will further reshape our development practices, ensuring they are more intuitive, effective, and aligned with the future of technology.
Check out how software developers and project managers used O1 to refine their workflows, and what we're anticipating with cursor integration.
OpenAI has once again set a new standard in the AI landscape with the release of GPT-4o on May 13, 2024, shortly after Meta’s ambitious Llama 3.0. This launch reaffirms that in the AI race, there is no room for laggards. From the perspective of an entrepreneur, product owner, or engineering leader, GPT-4o has four significant implications for AI-based products:
The new model performs significantly better than the best models currently out there. This gives a free boost to products which currently use a LLM at the back to write code or perform analysis.
GPT-40 is at par with the Turbo version of GPT-4 concerning performance on text, and reasoning. Coding intelligence is highly updated. With regards audio and vision capabilities and multilingual deliberations - there is a significant improvement due to native multi modality.
The model has scored a new high score of 88.7% on MMLU about general knowledge questions which in turn has set a new benchmark in reasoning capabilities of AI models.
Regarding Audio translation and Speech recognition, the model has far outperformed OpenAI’s own Whisper-v3.
An ELO graph from lmsys illustrates nearly a 100-point jump in the ELO score for GPT-4o, highlighting its superior performance.
The token cost for GPT-4o is 50% lower, significantly reducing the operational expenses (OPEX) for AI products. For use cases without large predictable workloads, it was already cheaper to consume OpenAI APIs. Now, it’s even more cost-effective. Despite this, the hope remains that the open-source model community will continue to make rapid progress.
Faster inference leads to a better user experience. Similar to reduced OPEX and quality improvements, providing prompt responses to customers significantly enhances product quality. GPT-4o can respond to audio inputs in as little as 232 milliseconds, with an average response time of 320 milliseconds, closely mimicking human timing.
Native multimodal support enables the development of entirely new product categories. While previous GPT versions improved existing products by making them better, cheaper, and faster, GPT-4o opens the door to new possibilities.
Previously, OpenAI models used separate models for transcribing input audio to text, processing the text through the GPT engine, and translating the output text back to audio. This process caused the GPT engine to miss related information such as tone, multiple speakers, or background noises. It also couldn’t emote, laugh, or sing at the output end. Now, similar to Gemini, GPT-4o is natively multimodal, overcoming these limitations.
Moreover, making this state-of-the-art model available for free in ChatGPT will drive broader awareness of AI's capabilities, which were previously underestimated by users of the free version of ChatGPT. OpenAI’s release of GPT-4o in the free tier is a bright spot, potentially expanding the boundaries of AI applications and possibilities.
A wave of new products built on GPT-4o is on the horizon. If you want to explore how these improvements can impact your product or business, schedule a free brainstorming session with us.
Let’s build the future together!
OpenAI has once again set a new standard in the AI landscape with the release of GPT-4o on May 13, 2024, shortly after Meta’s ambitious Llama 3.0.
Come to us with all of your ideas.
We can’t wait to bring them to life.
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