Andrew Ng Discusses 4 Agent Models: Workflow Efficiency of GPT-3.5 Over GPT-4

Andrew Ng Discusses 4 Agent Models: Workflow Efficiency of GPT-3.5 Over GPT-4

This year, the Sequoia AI Ascent 2024 conference explored many aspects of AI. In a previous article titled ‘Sequoia AI Conference: One of the Biggest Opportunities in AI is Replacing Services with Software,’ we shared insights from Sequoia partners Sonya Huang, Pat Grady, and Konstantine Buhler on the current state of AI. In today’s article, … Read more

Natural Language Processing (NLP) Algorithm Learning Path!

Natural Language Processing (NLP) Algorithm Learning Path!

Yunzhong from Aofeisi Quantum Bit Editor | Public Account QbitAI NLP has been very popular in recent years and is developing particularly fast. Technologies such as BERT, GPT-3, Graph Neural Networks, and Knowledge Graphs have emerged. We are in an era of information explosion, facing a flood of online resources and papers every day. Often, … Read more

Andrew Ng: Don’t Just Focus on GPT-5, Use GPT-4 for Agents

Andrew Ng: Don't Just Focus on GPT-5, Use GPT-4 for Agents

Machine Heart reports Machine Heart Editorial Team Is the potential of agents underestimated? AI agents were a hot topic last year, but many may not have a clear concept of how much potential AI agents really have. Recently, Stanford University professor Andrew Ng mentioned in a speech that they found workflows built on GPT-3.5 performed … Read more