How to transform your Knowledge Base into a Dynamic Knowledge Hub ready for AI-Powered and GPT fine-tuning
Basing on AI technology, we can improve your knowledge base usability and effectiveness, and hence ensure that your enterprise is equipped with high-quality and relevant insights. The initial preparation and continuous management of knowledge is critical, and we leverage the power of AI to streamline and optimize this process. While emerging trends like ChatGPT and AI-assisted search hold immense potential, they must be utilized with expertise to reap their full benefits.
Fine-tuning and AI-powered models
Fine -tuning is a machine learning technique used to adjust pre-trained models like GPT for specific tasks or fields. It is necessary because pre-training may not have the specific knowledge required for the target task, and fine-tuning can adapt the model to the new data and improve its performance. Then, the pre-trained model parameters are updated based on a new dataset specific to the desired task or field, allowing for the retention of the previously learned knowledge.
GPT models can be fine-tuned to perform various tasks such as text classification, sentiment analysis, and question-answering, among others. The advancement of AI-powered language models allows for the creation of answering modules. Long story short: you feed questions and answers to the model, and it develops responses to questions even if they are differently phrased. This way, the AI-assisted technology supports users who are looking for concrete solutions in your company’s knowledge base or self-service platform. The use of answering modules reduces the resources and time needed to achieve high performance of the supported tools.
Preparation for effective use of AI
AI technology, such as ChatGPT, can be employed to search through enterprise knowledge bases. However, do not forget that the quality of the results will only be as good as the original knowledge base used to feed and fine-tune the model. We all know all too well the good old „garbage in – garbage out“ phenomenon. The key incentive here is but in a way to proof your company from the risk of incorrect information propagation. That is why we place a strong emphasis on preparing a knowledge base to be a good training model for AI.
Hiring knowledge management experts to improve the quality of your company’s knowledge base ensures that the AI-powered search results are accurate and effective. avato’s in-house software allows us to assess key performance indicators (KPIs) of articles in clients‘ wiki, providing them with valuable insights into areas of improvement as well as clean-up on the fly service that helps to make significant improvements at minimum necessary time.
Successful use of AI language models with avato
In addition to our Technology-as-a-Service model, we offer consultancy services that are designed to help organizations implement best practices for knowledge management. Our methodology consultancy services can help organizations develop a knowledge-centered culture. We work closely with our clients to develop and implement customized solutions that address their specific needs, ensuring that they are equipped to effectively manage their knowledge base over the long term.
We understand that every organization has unique knowledge management needs, and we are committed to supplying tailored solutions based on KPIs assessment. Contact avato today to learn more about how our in-house software and consultancy services can help your organization achieve a knowledge-centered culture that drives productivity and success.