The Future of Serverless Inference for Large Language Models

Recent advances in large language models (LLMs) like GPT-4,  PaLM have led to transformative capabilities in natural language tasks. LLMs are being incorporated into various applications such as chatbots, search engines, and programming assistants. However, serving LLMs at scale remains challenging due to their substantial GPU and memory requirements. Approaches to overcome this generally fall […]

The post The Future of Serverless Inference for Large Language Models appeared first on Unite.AI.

advances applications artificial intelligence assistants capabilities chatbots future gpt gpt-4 gpu inference language language models large language large language models llm llms memory natural natural language palm programming requirements scale search serverless serverless inference tasks