This is wherevLLMcomes in.vLLMis anopen-source projectthat enablesfast and easy-to-use LLM inference and serving. Designed for optimal performance and resource utilization,vLLMsupports a range ofLLM architecture
The most user-friendly approach to interface LLMs is via conversational interfaces in our browser. This is the case of ChatGPT, where the user interface is simply a chat interface that allows you to interact with the model. In general, these interfaces allow very little or no control or mod...
An introduction to our demo project The best way to learn about RAG with LlamaIndex and Heroku is to build a small sample application. For our purposes, let’s pretend we work with Project Gutenberg, a library of over 70,000 free ebooks. We want to build an LLM-based chatbot that can...
An LLM then uses the user’s question, prompt, and the retrieved documents to generate an answer to the question. How to evaluate a RAG application The main elements to evaluate in a RAG application are as follows: Retrieval: This involves experimenting with different data processing strategies,...
Interacting with an LLM about its internal knowledge is much easier than searching for resources on the internet. The participants in the study also used ChatGPT to assist them in brainstorming sessions. LLMs can help generate multiple alternative solutions and ideas that can be valuable during ...
Instead, they're the interface we use to interact with large language models, or LLMs. These underlying technologies are trained to recognize how words are used and which words frequently appear together, so they can predict future words, sentences or paragraphs. The makers ...
In this tutorial, you learned the basics of LLM hallucinations and how to quickly detect and resolve them using model graded evaluations in a continuous integration pipeline. We covered how to use OpenAI’s ChatGPT model to build an application, how to write tests to tell if the model is ha...
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Key considerations for building an LLM-based chatbot Before getting started with your own LLM-based chatbot, there are a couple of aspects you should consider: Define the scope of the chatbot and the value that it is expected to provide. ...
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