This article provides a step-by-step guide on fine-tuning the Llama 3 language model for customer service use cases. It covers the process of data preparation, fine-tuning techniques, and the benefits of leveraging LLMs in customer service applications.
Learn how to fine-tune large language models like Llama 3 for function calling, enabling interaction with external tools and APIs for tasks like web search and math operations.
Explore the top small language models of 2024, including Llama 3, Phi 3, Mixtral 8x7B, Gemma, and OpenELM. Learn about their features, benefits, and significance in the AI landscape.
This article guides you through the process of building a local RAG (Retrieval-Augmented Generation) system using Llama 3, Ollama for model management, and LlamaIndex as the RAG framework. The tutorial demonstrates how to get a basic local RAG system up and running with just a few lines of code.
Learn how to build an open LLM app using Hermes 2 Pro, a powerful LLM based on Meta's Llama 3 architecture. This tutorial explains how to deploy Hermes 2 Pro locally, create a function to track flight status using FlightAware API, and integrate it with the LLM.
