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Large Language Models (LLMs) have demonstrated remarkable capabilities across various industries, revolutionizing how we approach tasks like legal document summarization, creative content generation,...

Stable Diffusion 3.5 Large  At 8.1 billion parameters, Stable Diffusion 3.5 is the most powerful model in the Stable Diffusion family. Our collaboration with Stability AI brings this sophisticated ...

Contributors and Reviewers: Anurag Karuparti (C), Aishwarya Umachandran(C), Tara Webb(R), Bart Czernicki (R), Simon Lacasse (R)   ROI serves as a critical metric for assessing the financial bene...

We're excited to announce the general availability of fine-tuning for Mistral models on Azure is now live! Starting today, Mistral Large 2411, Mistral Nemo, and Ministral 3B fine-tuning are available...

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Introduction In this post, we’ll explain how to deploy LLMs on vLLM using Azure Machine Learning’s Managed Online Endpoints for efficient, scalable, and secure real-time inference. Next, we will lo...

In the rapidly evolving field of large language models (LLMs) and small language models (SLMs), fine-tuning and evaluation often present unique challenges. Whether the objective is to optimize models...

https://github.com/james-tn/llm-fine-tuning/tree/main/opensource_llm/single_step Co-Author: Mohamad AL jazaery Why Scalable and Efficient Fine-Tuning Matters Faster Iterations, Shorter Time-to...

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