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Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. This challenge is particularly relevant in real-world applications where LLMs must fetch real-time data, perform complex calculations, or interact with APIs to complete tasks accurately. One major issue is LLMs' decision-making process regarding when to use external tools. In real-world scenarios, it is often unclear whether a tool is necessary. Incorrect or unnecessary tool usage can lead to significant errors and inefficiencies. Therefore,
Master C++ with Real-time Projects and Kickstart Your Career Start Now!! Program 1 #include<iostream> #include<stdexcept> using namespace std; int main() { int a,b,c; cout<<"Enter two number"; cin>>a>>b; try { if(b==0) throw(runtime_error("Can not devide by...
Mobil uygulama geliştirme dünyasında, doğru araç ve teknolojiyi seçmek kritik bir karar. Bu yazıda, React Native ve Expo’yu kullanmanın nedenlerini ve bu teknolojilerin Native iOS, Android ve…
Concurrency is a key aspect of modern application development, and understanding synchronization primitives is crucial for writing safe and efficient multi-threaded code. In this article, we’ll…