How to implement a RAG system using AnythingLLM and LM Studio
In this tutorial, we’ll walk you through the process of setting up a Retrieval-Augmented Generation (RAG) system using LM Studio and Anything LLM. Implementing a basic RAG with AnythingLLM is a straightforward process that doesn’t require coding skills or expert machine learning knowledge. AnythingLLM provides a user-friendly interface and streamlined workflow, allowing you to leverage […]
Local RAG with GPT4All
In a previous article, we explored local Retrieval-Augmented Generation (RAG) using LM Studio and AnythingLLM. Today, we’re diving into another powerful tool for local RAG: GPT4All. RAG, in simple terms, is a technique that enhances AI models by retrieving relevant information from a knowledge base before generating responses. It’s like giving your AI a personalized […]
How to write effective prompts for Large Language Models
Essential Techniques for Effective Content Generation Brief overview of large language models (LLMs) and their ability to generate content Large language models (LLMs) are a type of artificial intelligence system that has been trained on vast amounts of textual data, allowing them to understand and generate human-like language. These models are capable of performing a […]
How to Locally Run a LLM on Your PC
What is an LLM and what is its purpose? A Large Language Model (LLM) is a type of machine learning model trained on vast amounts of textual data to understand and generate natural language. Well-known LLMs include ChatGPT, Claude and Gemini. These models are capable of performing various tasks such as answering questions, summarizing texts, […]