Introducing: Tinq.ai Custom AI Models

In today's digital age, businesses are generating more data than ever before. The ability to extract insights from this data can be a game-changer for businesses looking to stay ahead of the competition. That's where Tinq.ai's Custom Models come in.

Introducing: Tinq.ai Custom AI Models

Over the past year and a half, we've been dedicated to building state-of-the-art NLP solutions to help businesses extract valuable insights from their data.
Today we're excited to announce the latest addition to our suite of powerful NLP tools at Tinq.ai: Custom Models.

With Custom Models, users can create their own AI models based on their unique data and specific use cases, providing a highly tailored and personalized experience. We can't wait for you to try it out and see the transformative power of AI and machine learning in action.

Tinq.ai's Custom Models capability is a powerful tool that enables users to create their very own AI models based on their unique data and specific use cases. The feature offers several benefits to users, including the ability to create custom models from various data sources such as web articles, PDFs, audio files, and web pages. This means that users can extract insights from a wide range of data sources and use them to improve their business processes.

One of the key benefits of Tinq.ai's Custom Models is the ability to create APIs instantly. This means that users can quickly and easily integrate their models into their existing systems, allowing them to automate processes and make data-driven decisions faster. Additionally, the models created through Tinq.ai's Custom Models can be used for a variety of purposes such as question-answering or even content creation.

Tinq.ai answering questions about a Keychron Keyboard from a custom model.

Custom Models can help businesses and content creators save time and resources by automating the content creation process while maintaining high-quality standards. Additionally, because the models are trained on the user's own data, the generated content is unique and tailored to the user's specific needs, providing a personalized experience for readers.

Writing a blog post based on the data provided

Tinq.ai's Custom Models can be especially helpful for researchers who need to stay up-to-date with the latest developments in their field. By training a model on relevant data, researchers can generate summaries of academic papers or news articles, allowing them to quickly understand the main points without having to read through the entire document.

Furthermore, Custom Models can also help researchers and academics quickly summarize their own research findings. By training a model on their own data, researchers can generate summaries of their research papers, making it easier for readers to understand their findings and conclusions

Perhaps one of the most significant benefits of Tinq.ai's Custom Models is the ease with which they can be integrated into any app in minutes. This allows users to leverage the power of AI and machine learning to improve their existing apps and workflows without having to spend weeks or even months developing custom solutions.

With the ability to create custom models from various data sources, instant API creation, and easy integration into any app in minutes, businesses can quickly and easily harness the power of AI and machine learning to streamline their workflows and make data-driven decisions faster.

import requests

url = "https://tinq.ai/api/v2/projects/model/query"

payload = {
	"model": "<model-id>",
	"q": "<query>"
}
headers = {
	"Accept": "application/json",
	"Content-Type": "application/json",
	"Authorization": "Bearer <bearer-token>"
}

response = requests.request("POST", url, json=payload, headers=headers)

print(response.text)

Ready to transform the way you work? Try out Tinq.ai's Custom Models capability today and discover how you can unlock valuable insights and streamline your workflows with the power of AI and machine learning.

Sign up for a trial now and see how easy it is to create custom models from various data sources, create APIs instantly, and integrate into any app in minutes.