Custom ChatGPT: We can use the ChatGPT for your own data and build a customized chatbot for your business,which will answer specific questions with correct answers. It can be adjusted or modified to meet specific needs.
Why use Custom ChatGPT?
For businesses or individual developers, a customized chatbot means they can provide specialized answers, support, or even develop unique features suited for their audience.
How do we do it?
We help you to decide the purpose of your chatbot, and then, with the help of machine learning tools and platforms, train your model. Finally, deploy it on your desired platform.
Large Language Model (LLM) Training A huge machine learning model designed to understand and produce human-like text based on the vast amount of data it has been trained on. Well, do not go with the name here, we can train the Algorithm with your own data, the more the data the better it is , and we can even start with 10-15 pages of data.
Why LLM Training?
With an LLM, chatbots or any text generating systems can provide more accurate, relevant, and human-like responses.
What if we need to build a chatbot for all your staff to answer the questions from employee handbook like
Holidays this year?
Diwali Holidays this year?
How to apply reimbursement?
What is the reimbursement policy?
How do we use LLM?
We help you to train LLM with vast amounts of text. When given a prompt, it finds patterns from its knowledge to produce the most fitting response. It’s like an assistant answering all questions.
Machine Learning: Machine Learning is part of artificial intelligence where computers learn from data without being explicitly programmed.
Why Machine Learning?
Yes, there are AI Tools available for a few things. If you need to solve a particular problem we need to choose the correct ML Algorithm and implement it for your use case. Systems that utilize machine learning can adapt and improve over time, making them more efficient and accurate in tasks.
How do we do it?
How to start with Machine Learning?: Begin by understanding the basics online, then use platforms and tools to practice coding and work with datasets.
Jupyter Notebook: An interactive platform for writing and executing code, primarily used for data analysis and visualization. Why use a Jupyter Notebook?: It provides an interactive environment which is great for learning, testing code snippets, and visualizing data.
This is an Amazon service that helps developers in building, training, and deploying machine learning models.
Why do we use SageMaker?
It simplifies the complex process of machine learning, offering a streamlined platform to build and deploy models. This takes care of all the heavy lifting and we focus on solving the problems, which is a more effective use of our time.