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You are here		zackproser.com How to Fine-tune Llama 3.1 on Lightning.ai with Torchtune
\|	\|	www.confident-ai.com The Ultimate Guide to Fine-Tune LLaMA 3, With LLM Evaluations - Confident AI	7.1 parsecs away Travel
\|	\|	In this article, we'll walkthrough how to fine-tune and evaluate a LLaMA-2 model using Hugging Face and DeepEval	7.1 parsecs away Travel
\|	\|	allenai.org Tülu 3: The next era in open post-training \| Ai2	29.3 parsecs away Travel
\|	\|	A technical deep-dive into Tülu 3, with the model "recipe", data, and more.	29.3 parsecs away Travel
\|	\|	neptune.ai Fine-Tuning Llama 3 with LoRA: Step-by-Step Guide	13.0 parsecs away Travel
\|	\|	You can apply the key ideas of this "Google Collab-friendly" approach to many other base models and tasks.	13.0 parsecs away Travel
\|	\|	www.matano.dev Managed Google Workspace Support \| Matano	87.6 parsecs away Travel
\|		Matano now supports a managed integration for ingesting audit events and alerts from Google Workspace. As with all managed log sources, Matano handles the polling, ingestion, parsing, and normalization of all Google Workspace log sources. The integration includes Google Workspace Admin events, Login events, SAML events and alerts from the Google Workspace Alert Center.	87.6 parsecs away Travel