Merge pull request #9 from vikranth22446/feature/update_publications_preble_wuklab

[WukLab] Update blog post with cognify and preble ICLR 2025 publication

Author: snyhlxde1

data/projectsData.ts

@@ -6,6 +6,12 @@ interface Project {
 }
 
 const projectsData: Project[] = [
+  {
+    title: 'Cognify: A Comprehensive, Multi-Faceted Gen AI Workflow Optimizer',
+    description: `TL;DR: Building high-quality, cost-effective generative AI applications is challenging due to the absence of systematic methods for tuning, testing, and optimization. We introduce Cognify, a tool that automatically enhances generation quality and reduces costs for generative AI workflows, including those written with LangChain, DSPy, and annotated Python. Built on a novel foundation of hierarchical, workflow-level optimization, Cognify delivers up to a 48% improvement in generation quality and up to 9x cost reduction. Cognify is publicly available at https://github.com/GenseeAI/cognify.`,
+    imgSrc: '/static/images/projects/cognify.jpg',
+    href: 'https://mlsys.wuklab.io/posts/cognify/',
+  },
   {
     title: 'Efficient LLM Scheduling by Learning to Rank',
     description: `Traditional Large Language Model (LLM) serving systems use first-come-first-serve (FCFS) scheduling, leading to delays when longer requests block shorter ones. We introduced a learning-to-rank method to predict output length rankings, enabling a Shortest Job First-like policy and reducing chatbot latency by 6.9x under high load compared to FCFS.`,

data/publication/wuklab/preble_pub.mdx

@@ -1,8 +1,8 @@
 ---
 title: 'Preble: Efficient Distributed Prompt Scheduling for LLM Serving'
-date: '2024-05-17'
-tags: ['PREPRINT']
+date: '2025-04-24'
+tags: ['ICLR 2025']
 draft: false
 authors: ['Vikranth Srivatsa', 'Zijian He', 'Reyna Abhyankar', 'Dongming Li', 'Yiying Zhang']
-canonicalUrl: https://escholarship.org/uc/item/1bm0k1w0#main
+canonicalUrl: https://arxiv.org/abs/2407.00023
 ---