$ 29.00 · 5 (86) · In stock
Learn how to reliably and efficiently fine-tune Mixtral 8x7B on commodity hardware in just a few lines of code with Ludwig, the open-source framework for building custom LLMs. This short tutorial provides code snippets to help get you started.
How to Fine-tune Mixtral 8x7b with Open-source Ludwig - Predibase - Predibase
Graduate from OpenAI to Open-Source: 12 best practices for distilling smaller language models from GPT - Predibase - Predibase
Graduate from OpenAI to Open-Source: 12 best practices for distilling smaller language models from GPT - Predibase - Predibase
The Fastest Most Cost-Effective Way to Fine-tune and Serve Open-source AI - Predibase - Predibase
Ludwig 0.5: Declarative Machine Learning, now on PyTorch - Predibase - Predibase
Ludwig v0.8: Open-source Toolkit to Build and Fine-tune Custom LLMs on Your Data - Predibase - Predibase
Predibase on LinkedIn: #llms #deeplearning #ai #mixtral #lorax #finetuned
How to know about LLMs: A Guide, Predibase posted on the topic
Live Interactive Demo featuring Predibase
Ludwig v0.8: Open-source Toolkit to Build and Fine-tune Custom LLMs on Your Data - Predibase - Predibase
Little Bear Labs on LinkedIn: LoRAX: The Open Source Framework for Serving 100s of Fine-Tuned LLMs in…