Merge branch 'website_revamp_final' of github.com:MaanavD/onnxruntime…

… into website_revamp_final
microsoft · Oct 27, 2023 · 7ad2c13 · 7ad2c13
2 parents 00a41e0 + 81b90fd
commit 7ad2c13
Show file tree

Hide file tree

Showing 4 changed files with 7 additions and 12 deletions.
diff --git a/src/routes/components/generative-ai-hero.svelte b/src/routes/components/generative-ai-hero.svelte
@@ -13,7 +13,7 @@
 				for image synthesis, text generation, and more.
 			</p>
 			<br />
-			<a href="./generative-ai" class="btn btn-primary">Learn more about ORT & Generative AI →</a>
+			<!-- a href="./generative-ai" class="btn btn-primary">Learn more about ORT & Generative AI →</a -->
 		</div>
 		<div class="m-auto overflow:hidden">
 			<Ortgenerativeai />

diff --git a/src/routes/components/hero.svelte b/src/routes/components/hero.svelte
@@ -15,7 +15,7 @@
 	let activeWord = 'Cross-Platform';
 	let currentWord = 0;
 	let cycleWord = () => {
-		currentWord = (currentWord + 1) % 6;
+		currentWord = (currentWord + 1) % words.length;
 		activeWord = words[currentWord];
 		if (currentWord == 0) {
 			setTimeout(cycleWord, 5000);
@@ -69,7 +69,7 @@
 	<div class="hero-content md:my-20">
 		<div class="grid grid-cols-2 md:grid-cols-5 gap-4">
 			<div class="col-span-4 self-center md:mr-20">
-				<h1 class="text-5xl">
+				<h1 class="text-5xl">Accelerated
 				{#key activeWord}
 					<span
 						class="text-5xl"
@@ -79,7 +79,7 @@
 					</span>
 				{/key}
 				</h1>
-				<h1 class="text-5xl">accelerated machine learning</h1>
+				<h1 class="text-5xl">Machine Learning</h1>
 				<p class="py-3">
 					Production-grade AI engine to speed up training and inferencing in your existing technology
 					stack.

diff --git a/src/routes/components/performance.svelte b/src/routes/components/performance.svelte
@@ -8,13 +8,8 @@
 			<h1 class="text-4xl">Performance</h1>
 			<br /><br />
 			<p class="text-xl">
-				ONNX Runtime runs performantly on a range of hardware, excelling in performance dimensions
-				including latency, throughput, memory utilization, and model and application size.
-				<br /><br />
-				In addition to high performance out-of-box for the most common usage patterns, additional
-				<a href="https://onnxruntime.ai/docs/performance/" class="text-blue-500"
-					>model optimization techniques</a
-				> and runtime configurations can further improve performance for specific use cases and models.
+				CPU, GPU, NPU - no matter what hardware you run on, ONNX Runtime optimizes for latency, throughput, memory utilization, and binary size. In addition to excellent out-of-the-box performance for common usage patterns, additional
+				<a href="https://onnxruntime.ai/docs/performance/" class="text-blue-500">model optimization techniques</a> and runtime configurations are available to further improve performance for specific use cases and models.
 			</p>
 		</div>
 		<div class="m-auto overflow:hidden">

diff --git a/src/routes/components/training-and-inference.svelte b/src/routes/components/training-and-inference.svelte
@@ -44,7 +44,7 @@
 <div class="container mx-auto px-10">
 	<h1 class="text-4xl pb-2">ONNX Runtime Training</h1>
 	<p class="text-xl pb-4">
-		ONNX Runtime enables on-device training and reduces costs for large model training.
+		ONNX Runtime reduces costs for large model training and enables on-device training.
 	</p>
 	<a href="./training" class="btn btn-primary">Learn more about ONNX Runtime Training →</a>
 	<div class="grid grid-cols-1 md:grid-cols-2 gap-10 mt-10 my-4 md:mx-10">