Fine-tuning large language models (LLMs) in 2024

The end-to-end platform to annotate, version, and manage ground truth data for your AI.

Data Annotation for Fine-tuning Large Language Models(LLMs)

Fine Tune Large Language Model (LLM) on a Custom Dataset with QLoRA, by Suman Das, Jan, 2024

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Fine-tuning Large Language Models: Complete Optimization Guide

Training and fine-tuning large language models - Borealis AI

Mixture of Experts vs Mixture of Tokens: Making LLMs more efficient

A Survey of Large Language Models

GitHub - ksm26/Finetuning-Large-Language-Models: Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate

Retrieval augmented generation (RAG) explained [+ examples]

Maximizing the Potential of Large Language Models - Gradient Flow

Top 10 List of Large Language Models in Open-Source

Fine Tune Large Language Model (LLM) on a Custom Dataset with QLoRA, by Suman Das, Jan, 2024

Fine-Tune a Model - SageMaker

The LLM Triad: Tune, Prompt, Reward - Gradient Flow

Best practices for GPT fine-tuning - ChatGPT 5

RAG Vs Fine-Tuning Vs Both: A Guide For Optimizing LLM Performance

Fine-tune OpenAI's Whisper Automatic Speech Recognition (ASR) model