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Wednesday’s top story: OpenAI is now allowing companies to use their own data to customize GPT-4o models for specific use cases.
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🧠 A custom-made GPT-4o?
🚀 How to join HubSpot as an AI Strategist and Content Specialist
🤝 OpenAI partners with Vogue?
⚙️ How to scale your business with intelligent automation
🚢 How to manage a crisis using ChatGPT
🎯 AI crisis tool for US Military
🏁 AI start-up designing F1’s fastest car!
Read Time: 5 minutes
😬 The market took a breather on Tuesday, with many AI names consolidating. Investors may be nervous before the release of the FOMC meeting minutes at 2pm EST (Wednesday 21st). Learn more.
Our Report: OpenAI is now allowing Enterprise customers to use their own data to customize (or, ‘fine-tune’) their latest Large Language Model (LLM)—GPT-4o—so they can build custom models that can complete specific tasks for specific use cases.
🔑 Key Points:
Developers can train GPT-4o on custom data to improve the model’s ability to understand particular use-case instructions and enable it to change the structure and tone of its responses to align with the business.
Developers or companies on any paid plan can upload their data (just text-based data) to OpenAI’s servers, and the fine-tuning process usually takes 1-2 hours, which allows for quick customizations.
Businesses will have full ownership of their customized models, data, and inputs/outputs, and to prevent misuse, OpenAI has implemented safety protocols including continuous, automated safety evaluations.
🤔 Why you should care: OpenAI recently came under fire (mainly from Elon Musk) for backtracking on its original, founding mission, which was centered around advancing AI to benefit humanity, and this new feature—which makes it easy for customers to fine-tune its biggest, most powerful model to suit their individual needs—aligns with this, as they’re “extremely focused on lowering the bar, the friction, and the amount of work it takes to start.”
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Our Report: OpenAI is partnering with media company, Condé Nast (which owns publications like The New Yorker, Vanity Fair, Vogue, and Wired), to train its models and surface its content.
🔑 Key Points:
Although full partnership details weren’t disclosed, the multi-year agreement will allow OpenAI to use Condé Nast content to train its models and in return, OpenAI will show Condé Nast content in SearchGPT.
Condé Nast signed the agreement as it believes it’s crucial to “meet audiences where they are, and embrace new technologies while ensuring proper attribution and compensation for our intellectual property.”
They believe that OpenAI has been“transparent and willing to productively work with publishers,” stating that this is “just the beginning of the fight for fair deals and partnerships across the industry.”
🤔 Why you should care: This is OpenAI’s latest, high-profile media partnership—having previously inked deals with news outlets including Axel Springer, the Atlantic, and Vox Media—in their effort to work with media outlets, rather than battle them over copyright issues in court, something which more and more media publications are open to, as they realize that lengthy legal battles are costly, often leading to layoffs and cutbacks to foot the bill.
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Type this prompt into ChatGPT:
Results: After typing this prompt, you will get a template that outlines roles, responsibilities, and contact information for your emergency response team to use in a crisis.
P.S. Use the Prompt Engineer GPT by AI Tool report to 10x your prompts.
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Defcon AI—a defense tech start-up that provides the military with logistics insights—has raised $44M to help the US Department of Defense (DoD) effectively coordinate its operations during a major crisis.
During a crisis—like a hurricane or terrorist attack—agencies within the DoD must make rapid decisions, coordinate resources, and stay within budgets, and Defcon is developing software to help them all align, quickly.
Its software uses AI to process scenario-based data to identify vulnerabilities and strategies during disruptive events and suggest optimal responses to allow DoD decision-makers to choose an effective approach.
Advanced AI engineering design start-up—BeyondMath—has raised $8.5M to develop an AI-powered digital wind tunnel that will reshape car design and engineering practices on a global scale.
The tunnel gives near-real-time simulations of airflow over complex surfaces during testing and spots inefficiencies in minutes, rather than months, reducing budget and increasing development.
They’re working with F1 teams to explore the tunnel’s capabilities to speed up the cars' aerodynamics and vehicle design processes, and are months away from having a platform that will make these cars faster.
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Until next time, Martin & Liam.
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