Question and Answering Application using LLMs

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Large language models (LLMs) are artificial intelligence (AI) models that have been trained on enormous text and code datasets. This enables them to comprehend and write human-like text, as well as execute several activities, such as question answering.

This blog post will go over how to make a question-and-answer application with LLMs. The following subjects will be covered:

  • What exactly is a question-and-answer application?
  • How do LLMs function?
  • The procedures involved in developing a question-and-answer application with LLMs.
  • Tools and resources for developing a question-and-answer application using LLMs

What exactly is a question and answer application?

A question and answer (QA) application is a piece of software that can respond to natural language questions. Users often use QA applications to obtain information, such as the answer to a factual query or the definition of a word.

How do LLMs function?

LLMs are trained on enormous text and code datasets. This enables them to discover the statistical correlations between words and phrases. When an LLM is asked a question, it uses its knowledge of statistical correlations to generate an answer.

The procedures involved in developing an LLM-based question and response application

  • Compile a text and code dataset. The dataset should be as diverse and large as feasible.
  • Use the dataset to train an LLM. This can be accomplished with a variety of methods and resources.
  • Create a question and response pipeline. The pipeline should take a query as input and output an answer.
  • Launch the application. The application can run on a variety of platforms, including a web server and a mobile device.

Tools and resources for developing a question-and-answer application with LLMs

  • ChatGPT: A large language model capable of answering queries in various fields.
  • Hugging Face Transformers: A library for LLMs and NLP models to build Q&A systems.
  • Haystack: A framework for developing question-and-answer applications compatible with many LLMs.

Conclusion

In this blog post, we explained how to use LLMs to construct a question and answer application. We discussed the following topics:

  • What exactly is a question and answer application?
  • How do LLMs function?
  • The procedures involved in developing a question-and-answer application with LLMs.
  • Tools and resources for developing a question-and-answer application using LLMs
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