Spheron NetworkforSpheron's Blogblog.spheron.network·Feb 10, 2025Discover Why LoRA Adapters Lead the Future of Fine-TuningAs large language models (LLMs) evolve, the demand for efficient, scalable, and cost-effective fine-tuning methods increases. Traditional fine-tuning techniques require updating all model parameters, which consumes significant computational power, me...LoRA
NovitaAInovita.hashnode.dev·Dec 31, 2024How to Effectively Fine-Tune Llama 3 for Optimal Results?Key Highlights Introduction to Llama3: Llama3 is a state-of-the-art language model developed by Meta, designed for high performance in natural language processing tasks. Fine-tuning this model can significantly enhance its capabilities for specific ...Artificial Intelligence
Spheron NetworkforSpheron's Blogblog.spheron.network·Nov 28, 2024Fine-Tuning Llama 3.2 for Targeted Performance: A Step-by-Step GuideWith the release of Meta’s Llama 3.2, fine-tuning large language models to perform well on targeted domains is increasingly feasible. This article provides a comprehensive guide on fine-tuning Llama 3.2 to elevate its performance on specific tasks, m...610 readsLLMLLaMa
Carlos Alarcónblog.carlos-alarcon.com·Nov 12, 2024Creación de Avatares y Personajes personalizados con IA en FreepikLa generación de avatares y personajes únicos con IA está revolucionando múltiples industrias, desde el entretenimiento hasta el marketing digital. En este artículo, exploramos cómo esta tecnología permite crear personajes altamente personalizables u...1 like·442 readsFlux
Tharagaraman Balajidevodyssesy.hashnode.dev·Aug 5, 2024Meta Llama 3.1: Everything You Need to Know About the Open Source ModelIs it only me ?? or Do I find Mark Zuckerberg better than Sam Altman and people all over the internet called mark the Goat of AI community and it seems like he might be after all by releasing his latest frontier AI model Llama 3.1 405B which seems l...10 likesAI
Debanjan Chakrabortysubspace.hashnode.dev·Jul 28, 2024Understanding Retrieval-Augmented Generation (RAG) and Fine-Tuning Approaches1. Introduction Retrieval-Augmented Generation (RAG) models combine retrieval and generation techniques to improve the accuracy and relevance of generated responses in question-answering contexts. By leveraging both retrieval and generation, RAG mode...RAG
Aditya Kharbandakharbanda25.hashnode.dev·Jun 23, 2024Building a Formula 1 Car Classifier with 89% AccuracyI've been trying my hand at Transfer Learning and Fine Tuning for a while now. I decided to utilise it for a fun little project around F1. I fine-tuned the EfficientNetB0 image classification model on a F1 car images dataset, so that, given an image ...10 likes·123 readsProjectsformula1
Spheron NetworkforSpheron's Blogblog.spheron.network·Jun 12, 2024How to Fine-Tune Large Language Models: Best PracticesOrganizations are increasingly eager to integrate large language models (LLMs) into their business processes, leveraging their wide range of capabilities, such as text generation, question answering, and summarization. However, a significant barrier ...313 readsllm
Nikhil Ikharnik-hil.hashnode.dev·May 25, 2024How to fine-tune LLM using axolotl and accelerateIn this post, I will outline the steps I followed to fine-tune a model using Axolotl and Jarvislabs.ai. This post is based on https://maven.com/parlance-labs/fine-tuning and https://medium.com/@andresckamilo/finetuning-llms-using-axolotl-and-jarvis-a...178 readsaxolotl
Ritobroto Sethrito.hashnode.dev·Mar 21, 2024LLM fine-tuning with instruction promptsIf you have ever tried to use the Mistral model from Hugging Face you will be provided with multiple options. Two of the most downloaded options are: Mistral-7B-v0.1 Mistral-7B-Instruct-v0.2 But what is the difference between these 2 models? Mistral-...6 likes·805 readsfine-tune
