US OFFICE
33 Nassau Avenue, Brooklyn
Phone: +1 929 552 0055
Email: sales@omnie.ai

UK OFFICE
16 Toft Green, York, YO1 6JT
Phone: +44 1904 949000
Email: sales@omnie.ai

HK OFFICE
80 Hung To Road, Kwun Tong
Phone: +852 3001 5140
Email: sales@omnie.ai

How Chatbots Work

Large language models can comprehend context and semantics, allowing them to generate coherent responses, models can be trained with data from documents or websites and users access the chatbot via a website widget or through a connection to a messenger app.

How chatbots work

Language Model

Large language models are capable of comprehending context and semantics, allowing them to generate coherent and contextually appropriate responses.

Chatbots Data Sources

Training

The model can be trained with data from documents, websites and use live data in applications such as messenger apps, CRMs and finance systems.

AI powered chatbots

User Interface

Users access the chatbot via a website widget, through a connection to a messenger app such as WhatsApp or via an API integration with a compatible app.

Omnie AI

CHATGPT WITH CUSTOM DATA

Our chatbots use ChatGPT with a custom dataset to provide extremely accurate and human-like responses to questions and requests.

ChatGPT is built on a deep learning architecture called a transformer neural network. It uses a variant of the transformer model, which is a type of self-attention mechanism that allows the model to process and understand sequences of words effectively.

Omnie AI

TRAINING OF THE LANGUAGE MODEL

During the training process, a large dataset of text is used to train the model. The dataset consists of input-output pairs, where the model learns to predict the next word or phrase given the preceding context. This process is known as unsupervised learning, as the model doesn’t receive explicit labels for its predictions.

The training objective is to maximise the likelihood of the correct next word or phrase in each context. This is achieved through a technique called “maximum likelihood estimation,” where the model adjusts its internal parameters to improve its predictions over time.

Omnie AI

HUMAN LIKE GENERATIVE RESPONSES

Once the training is complete, the model can generate text by taking an input prompt and predicting the most probable next words based on the context provided. The generation process involves sampling from a probability distribution over the vocabulary to produce coherent and contextually relevant responses.

To enhance the quality of responses, techniques like “beam search” can be employed. Beam search explores multiple likely word sequences during generation, considering different possibilities and selecting the most promising responses based on a scoring mechanism.

Omnie AI

SECURITY AND DATA PRIVACY

Training a chatbot with your own company data offers a higher level of safety against threats such as indirect prompt injection and data poisoning compared to using external or publicly available datasets. Indirect prompt injection and data poisoning involves the alteration of a website with malicious content intended to manipulate the behavior of AI models. By using proprietary company data, which is carefully curated and controlled, the risk of such hidden text injections is eliminated.

Your data is stored on our secure server, or you can host the chatbot in your own data centre with our on-premise chatbot solution.

MULTI CHANNEL, CROSS TEAM, AI ASSISTANT