Does anyone know any solution to fine tuning without code ?
I’m searching and nothing I see this question everywhere but seems nobody knows a solution.
I saw a company that claims that has a solution but we have to pay without even test that doesn’t make any sense to me, they don’t have a video showing how it works nothing so I’m not sure if is a real solution but a company without free/trial version or at least a video showing how it works noooooo I don’t trust.
It is possible to fine-tune a completion engine using only natural language and no code. Some platforms, such as GPT-3, allow users to fine-tune their language models by providing examples of text they would like the model to emulate - through a process called “prompt engineering,” where the user provides a series of prompts, and the model generates text based on that series.
The fine-tuned series of prompts shall be relevant to the domain or subject. The model would generate a text similar to the provided series but with variations.
It requires some expertise in natural language processing and an understanding of the domain or subject - select the prompts to ensure that the model will generate high-quality output relevant to the desired use case.
Providing the prompts and sample responses guides the model to generate more accurate and relevant responses. After some time, the model will learn to generate high-quality replies based on the provided prompts. It makes it easier to create replies for the domain or subject.
An example of “prompt engineering” for the GPT-3:
Generate product descriptions for an e-commerce website:
List of prompts describing different aspects of a product: features, benefits, and specifications. Then provide examples of each type of prompt, with sample responses. It would help the model learn to generate high-quality product descriptions based on these different prompts.
Prompt: “Describe the features of this product”;
“This product features a high-definition display, a powerful processor, and a long-lasting battery.”
“With this product, you’ll get access to a range of advanced features, including built-in GPS, voice recognition, and more.”
“The key features of this product include its sleek design, intuitive interface, and user-friendly controls.”
Prompt: “Explain how this product can benefit the customer”;
“This product can help you save time and increase productivity by automating repetitive tasks.”
“With this product, you can enjoy high-quality sound and video on the go, no matter where you are.”
“By using this product, you can improve your health and well-being by tracking your activity levels, monitoring your sleep, and more.”
Prompt: “List the technical specifications of this product”;
“This product has a 6.5-inch OLED display, a 2.8 GHz quad-core processor, and 64 GB of storage.”
“With this product, you’ll get a 12-megapixel camera, 4K video recording capabilities, and support for wireless charging.”
“The technical specifications of this product include Bluetooth 5.0, Wi-Fi 6, and a USB-C port for fast charging.”
Im trying to do that but I don’t find anything related to fine fine tuning in my playground. I change the mode, model and nothing I don’t see fine tuning or anything related in settings.
I don’t think it is necessary to set a fine-tuning for the playground.
You say: prompt: write the prompt, and Response: write a sample response. In the same way, you are teaching a kid:
When someone asks THIS, you answer THAT.
However, the playground is a limited free demo of the completion models available - I am not sure how the playground reacts to long fine-tuning prompt engineering.