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
In the era of large models led by ChatGPT, designing prompts to get large models to execute user instructions is an art, giving rise to the profession of ‘Prompt Engineer’. Not everyone can design good prompts, and even the same prompt can yield different results when applied to different large models. Although ChatGPT or GPT-4 … Read more
With the rapid development and deployment of powerful Generative AI models, the environmental issues they bring are increasingly attracting attention, including a sharp rise in electricity demand and high water consumption. The Resource Intensity and Environmental Cost of Generative AI Generative AI has attracted widespread attention due to its potential immense advantages, from enhancing work … Read more
The emergence of ChatGPT and LLM technology has swept the world with these state-of-the-art language models, attracting not only AI developers but also enthusiasts and organizations exploring innovative ways to integrate and build with these models. Various platforms have emerged rapidly, integrating and facilitating the development of new applications. The popularity of AutoGPT has led … Read more
Click the “Deephub Imba” above to follow our public account and never miss a good article!! The emergence of ChatGPT and LLM technologies has swept the world with these cutting-edge language models. Not only AI developers, enthusiasts, and some organizations are exploring innovative ways to integrate and build these models. Various platforms have emerged like … Read more
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
Source: Deephub Imba This article is about 1400 words long and is suggested to be read in 5 minutes. Integrating ChatGPT and LLMs into various applications is just part of the potential of using language models. The emergence of ChatGPT and LLM technologies has led to these cutting-edge language models sweeping the world. Not only … Read more
AI Agents are considered by many to be the future direction of large model development. Previously, Lilian Weng, head of OpenAI’s safety team, published a detailed blog introducing AI autonomous agent robots, which attracted a lot of attention. Released in July, MetaGPT is a brand new AI Agent project that provides an automated agent framework … Read more
Large Language Models (LLMs) have made significant progress in the field of generative artificial intelligence, but they face the “hallucination” problem, which is the tendency to generate inaccurate or irrelevant information. This issue is particularly severe in high-risk applications such as medical assessments and insurance claims processing. To address this challenge, researchers from the University … Read more
New Intelligence Report Editor: Run [New Intelligence Guide] A netizen publicly shared an autonomous learning agent he created. According to his vision, such an agent will rapidly evolve into an omnipotent AGI with the support of LLM, and if humans control its growth process, specific alignment will not be necessary. A netizen created an open-source … Read more