Neural Chat vs. Competitors: A Detailed Guide
A Chat bot Framework That Allows for Configuration, Neural Chat
Just a Few Minutes Required to Create Your Very Own Chat bot
An easy-to-use application programming interface (API) is provided by Neural Chat, which is a configurable chat bot framework that is part of Intel Extension for Transformers.
With this API, it is possible to rapidly construct a chatbot on many architectures, such as Intel Xeon Scalable Processors and Intel Gaudi Accelerator. The fine-tuning, optimisation, and inference capabilities of NeuralChat are made possible by the fact that it is constructed on top of large language models (LLMs).
In addition to that, it provides customers with access to a vast library of plugins that can be used to make their chatbots more intelligent via the use of knowledge retrieval, more engaging through the use of voice, quicker through the use of query caching, and more secure through the use of guardrails.
Getting Things Underway
The Intel Extension for Transformers software package includes NeuralChat as one of its accessible components. To install it, you need just to execute the following command:
pip install intel-extension-for-transformers
Create a chatbot with the help of NeuralChat’s user-friendly Python application programming interface:
## create a chatbot on local from intel_extension_for_transformers.neural_chat import build_chatbot, PipelineConfig config = PipelineConfig() chatbot = build_chatbot(config) ## use chatbot to do prediction response = chatbot.predict(“Tell me about Intel Xeon Scalable Processors.”)
NeuralChat should be implemented as a service.
neuralchat_server start –config_file ./server/config/neuralchat.yaml
Because NeuralChat offers a default chatbot setup in the file neuralchat.yaml, you may personalise the manner in which this chatbot behaves by editing the following fields in the configuration file. These fields allow you to choose the LLM model and plugins to use.
Get a comprehensive comparison of Neural Chat with its competitors. Find out how this chatbot framework stacks up in terms of features, perf