Staged Multilora blog final

microsoft · Nov 20, 2024 · 0f43d67 · 0f43d67
1 parent 1b8fa1d
commit 0f43d67
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Showing 3 changed files with 16 additions and 5 deletions.
diff --git a/src/images/blogs/multilora.png b/src/images/blogs/multilora.png
diff --git a/src/routes/blogs/+page.svelte b/src/routes/blogs/+page.svelte
@@ -22,6 +22,7 @@
 	import GoodnotesThumbnail from '../../images/blogs/goodnotes-scribble-to-erase/Thumbnail.png';
 	import OliveCli from '../../images/blogs/olive-flow.png';
 	import QuantizeFinetune from '../../images/blogs/Quantize-finetune.jpg';
+	import MultiLoraThumbnail from '../../images/blogs/multilora.png';
 	onMount(() => {
 		anime({
 			targets: '.border-primary',
@@ -49,6 +50,16 @@
 		dispatch('switchTab', tab);
 	}
 	let featuredblog = [
+		{
+			title:
+				'Announcing MultiLoRA with ONNX Runtime: Revolutionizing AI Customization',
+			date: '20th November, 2024',
+			blurb:
+				'MultiLoRA with ONNX Runtime brings flexible, efficient AI customization by enabling easy integration of LoRA adapters for dynamic, personalized models with minimal resource demands.',
+			link: 'blogs/multilora',
+			image: MultiLoraThumbnail,
+			imgalt: 'Serving LoRA models separately vs with MultiLoRA'
+		},
 		{
 			title:
 				'Is it better to quantize before or after finetuning?',
@@ -69,6 +80,8 @@
 			image: GoodnotesThumbnail,
 			imgalt: 'Scribble to Erase feature on Goodnotes for Windows, Web, and Android'
 		},
+	];
+	let blogs = [
 		{
 			title: 'Democratizing AI Model optimization with the new Olive CLI',
 			date: 'November 11th, 2024',
@@ -77,9 +90,7 @@
 			link: 'blogs/olive-cli',
 			image: OliveCli,
 			imgalt: 'Olive Flow'
-		}
-	];
-	let blogs = [
+		},
 		{
 			title:
 				'Enhancing team collaboration during AI model optimization with the Olive Shared Cache',

diff --git a/src/routes/blogs/multilora/+page.svx b/src/routes/blogs/multilora/+page.svx
@@ -1,6 +1,6 @@
 ---
-title: 'Announcing MultiLoRA with ONNX Runtime: Revolutionizing AI Customization '
-date: '19th November, 2024'
+title: 'Announcing MultiLoRA with ONNX Runtime: Revolutionizing AI Customization'
+date: '20th November, 2024'
 description: 'MultiLoRA with ONNX Runtime brings flexible, efficient AI customization by enabling easy integration of LoRA adapters for dynamic, personalized models with minimal resource demands.'
 keywords: 'MultiLoRA, LoRA, ONNX Runtime, AI customization, LoRA adapters, Olive toolchain, large language models, model personalization, model optimization, Hugging Face, AI deployment, AI performance'
 authors: ['Dmitri Smirnov', 'Jambay Kinley', 'Natalie Kershaw', 'Parinita Rahi', 'Pranav Sharma', 'Devang Patel', 'Samuel Kemp']