feat: overhaul

src/portfolio/data/projectData.ts

@@ -13,7 +13,7 @@ const projectData : IProjectArguments[] = [
 		],
 		github: "https://github.com/KuchtaVR6/Multi-LLM-Agent",
 		document: "/multiAgent.pdf",
-		title: "Research Review of Neural Techniques for low-resource language translation",
+		title: "Multi-LLM Tool Use – Modular Pipeline with Expert Adapters",
 		text: "In this work, I explore a practical and cost-effective approach to improving how AI models interact with external tools and APIs. Instead of relying on large, expensive models or complex zero-shot learning methods, I utilize a modular pipeline using smaller, specialized components (Planner, Caller, Summariser) trained separately. I introduce to it a hard routing agent system that assigns tasks to expert adapters based on API categories, the system achieves performance that surpasses much larger closed-source models on a key benchmark. This approach enables more efficient, decentralized training and has potential applications beyond the tool-use QA task."
 	},
 	{