Today, we launched the SambaNova Cloud for developers delivering the fastest inference on Llama 3.1 405B. You should sign up for SambaNova’s free service at cloud.sambanova.ai if you are an AI developer looking to integrate your advanced applications into the latest LLMs like 405B.
Large language models (LLMs) have revolutionized the field of natural language processing (NLP) with their impressive capabilities in language understanding, generation, and reasoning. However, as these models become increasingly complex and computationally expensive, their inference performance has become a critical bottleneck in many applications. In this blog post, we will explore why inference performance is crucial for LLMs in advanced applications like function calling and agentic workflows, and we will discuss the implications of slow inference performance.
Function calling is a fundamental concept in programming where a program invokes a separate block of code to perform a specific task. Some examples of this include: