I've invested a lot of time researching and testing various cues to find the best results. In this video, I've summarized all these experiences into 10 levels of cue word design techniques. We'll start with the basics and go all the way down to the expert techniques that won the recent Singapore Prompter Design Competition. Then we...
How to water a thesis? Choose Agent-related propositions, add the following inspirations to React for experimentation, and work backwards to the argument based on the results, which will generally yield some results. Information Perception English Chinese Chinese Explanation Perception refers to the process of acquiring information about the environment through the senses, which encompasses...
GizAI is a one-stop platform with integrated AI generation, note-taking and cloud storage capabilities. Users can generate images, videos, audio, text, characters, stories, and games with GizAI, and can take collaborative notes and cloud storage on the platform.GizAI offers a wide range of AI tools to help users increase productivity and creativity, while protecting user privacy and not using user data for AI training without consent. GizAI is operated by Giz Inc. founded in Stripe Atlas and supported by programs such as Google for Startups Cloud, Microsoft for Startups Founders Hub, AWS Activate, and Paddle AI LaunchPad, among others.GizAI believes that using advanced, generative AI technology is everyone's right, offers a free ad-supported program, and allows users to generate, collaborate, and share content.
Title: Agent AI Towards a Holistic Intelligence Author: Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashle...
Paper address: https://arxiv.org/abs/2404.17723 Knowledge Graphs can only extract entity relations in a targeted manner, and such stably extractable entity relations can be understood as close to structured data. Figure 1 illustrates a combination of Knowledge Graph (KG) and Retrieval Augmented Generation (RAG)...
The following focuses on the basic idea of hint engineering and how it can improve the performance of the Large Language Model (LLM)... Interfaces for LLM: One of the key reasons why large language models are so hot is that their text-to-text interfaces enable a minimalist operational experience. In the past, solving tasks using deep learning typically required...
Open source address: https://github.com/cpacker/MemGPT Thesis address: https://arxiv.org/abs/2310.08560 Official website: https://memgpt.ai/ MemGPT supports: 1. Management of long-term memory or state 2. Linking of RAG-based technologies External data sources 3.
This beginner's guide consists of seven chapters that contain everything you need to understand the basics of SEO and start improving your rankings. You'll also find links to helpful resources on our SEO blog and YouTube channel so you can build your own path to SEO savvy . 1/ How Search Engines Work...
Original article: https://www.hbs.edu/ris/PublicationFiles/24-013_d9b45b68-9e74-42d6-a1c6-c72fb70c7282.pdf The purpose of this paper is to explore the impact of artificial intelligence on the productivity and quality of knowledge workers, with field experiments Drawing conclusions. The research team includes researchers from ha...
Original: https://arxiv.org/pdf/2210.03629.pdf Can't understand how ReAct works and applies even after reading it? See ReAct Implementation Logic in Practice with real-world examples. Abstract Although large-scale language models (LLMs) are useful in the tasks of language understanding and interactive decision...
RAG (Retrieve Augmented Generation) is a technique for optimizing the output of Large Language Models (LLMs) based on authoritative knowledge base information. This technique extends the functionality of LLMs to refer to the internal knowledge base of a particular domain or organization when generating responses to...
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