Entry Point AI
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Entry Point AI
Fine-tune AI models with no-code.
Hello Product Hunt 👋
We're super thrilled to introduce Entry Point AI, the no-code platform that puts the power of custom AI models into your hands. 🚀
Six months ago, Mark and I realized AI will fundamentally change how we do business and build products. Shortly after, we started building Entry Point to simplify the process of fine-tuning Large Language Models (LLMs) and optimizing them for a wide range of specialized tasks — either for your business operations or product features 🙌
Creating a custom AI model sounds hard, but with Entry Point, it's super easy:
1️⃣ Define the Task : Define the task you want your model to do. Entry Point already helped build models that could classify customer sentiment, prioritize support tickets, qualify leads, edit content, redact sensitive information, write personalized emails, detect fraudulent transactions, and more.
2️⃣ Generate Synthetic Examples : Making 20 examples by hand is easy. But making 200 or 2000 (which is how much you need for a production-ready model) is hard. With Entry Point, you can expand your initial dataset with synthetically-generated examples with just a single click.
3️⃣ Run & Optimize : Run the fine-tunes without writing a single line of code! Evaluate and compare your fine-tunes across multiple platforms (OpenAI, AI21, and more) and get insights into how you can design your next batch of training data to get even better results: cover edge cases, increase speed, accuracy, and reduce cost.
At Entry Point, we believe your business is unique, and your AI should be too!
You can experience the power of custom AI models today for free by heading over to EntryPointAI.com and creating your account. Once there, you can book a call with me and I'll be happy to help you on your journey of creating AI models with anything you need 🙏
Hey @simon_s_j, so Entry Point connects with LLM providers such as OpenAI and AI21 (and others in the future!).
You select one of the fine-tune-available models from their platform (such as DaVinci, Curie, Ada, or Babbage on OpenAI for example) and fine-tune those on your example set. Your fine-tuned model will then be hosted on that platform (like OpenAI). To use the model in your code/Zapier/Google Sheets or wherever, you would simply call OpenAI's API with the name of the fine-tuned model. That's it!
Also worth stressing is that the fine-tuned models that you create are hosted on your OpenAI platform, and you use them at the cost of that platform (for example, a fine-tuned Babbage on OpenAI costs $0.0024 / 1K tokens). Entry Point doesn't host the models, and doesn't take any cuts from your using your models!
Did I answer your question? 😀
Hey @niroshnr, the three biggest pains when creating AI models is
1) collecting the example set in one place, 2) editing the examples so they're high quality, 3) having enough examples so that AI knows exactly what you want it to do.
Entry Point helps you do all of that. Most impressive is perhaps point 3), where we have a way of generating "synthetic" examples that can immediately expand your data set without you having to pull in or think of more examples
Awesome product!
A no-code AI fine-tuning tool with a clean interface. I had the pleasure of testing it out in the early stages and it was already extremely useful. Before, I would have to jump through hoops with custom Python scripts but now I can train my models in one easy-to-use platform.
Definitely a must-have tool for anyone serious about training their own models at any reasonable scale.
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