Entry Point is the modern fine-tuning platform for proprietary and open-source large language models, including GPT, Llama-2, and Mistral.
When you reach the limits of prompt engineering, it’s time to fine-tune your own model. Fine-tuning is showing a model how to behave — effectively teaching it intuition. It works together with prompt engineering and retrieval-augmented generation (RAG) to extract the maximum potential from large language models.Start tuning
In the past, fine-tuning was hard. You needed a lot of data, infrastructure, and insider knowledge. But the game has changed. Now, with modern large language models, you can start to shape output and behavior with a few dozen training examples — and Entry Point makes the whole process more seamless than ever.Start tuning
There are countless ways to leverage fine-tuned LLMs in software and business.
Produce high-quality reports, blog articles, social media posts, emails, and more.
Segment your data and tag content for search, meta data, or features.
Extract key values from unstructured data in a consistent format.
Prioritize support issues, bug reports, lead form submissions and more.
Suggest products that a user might want based on items in their shopping cart or order history.
Train a model to determine if activity is suspicious or high-risk.
Detect and flag inappropriate content in inboxes, apps, and chats.
Populate new fields for your data, like industry or custom segments for business contacts.
In a RAG workflow, you can use a fine-tuned LLM to rank your set of results by relevance.
"I saw your product and the price tag and did not flinch. It was like finding water in the desert. We could not build our product without fine tuning. It is an absolute necessity to get the types of responses we need."
"I have tried many fine-tuning platforms, but Entry Point was by far the easiest to use!"
"I think there are so many people with access to ChatGPT but don’t quite understand the power of it. I feel like I got a superpower."
"I love using Entry Point to manage my datasets, add to them manually, create synthetic examples, and then compare performance. It makes it so much easier to test all these things."
"They have such a great product I was excited to go to office on Sunday to try it out!"
"Entry Point has been such an amazing application to work with that's made such a difference. If you're training models with OpenAI, you should definitely give it a try."
Let us know how we can help you get the most out of AI.
Fine-tuning is the process of adapting a foundation model to a specific task, allowing you to change the behavior of the model by "show, not tell."
To learn the basics and train your first custom models, consider joining our free LLM Fine-tuning Masterclass.Masterclass details