Introduction This study introduces Agora, a metacommunication protocol designed for Large Language Model (LLM) networks.Agora aims to solve the trilemma between efficiency, scalability, and flexibility when communicating between agents by using a mixture of natural language and structured protocols to achieve efficient, scalable, and flexible...
General Introduction Awesome-LLM-Strawberry is an open source repository focusing on Large Language Models (LLMs) and their reasoning techniques. It was created by hijkzzz to collect and organize research papers, blogs and projects related to OpenAI and its Strawberry (o1) model. The repository is constantly ...
Enable Builder Smart Programming Mode, unlimited use of DeepSeek-R1 and DeepSeek-V3, smoother experience than the overseas version. Just enter the Chinese commands, even a novice programmer can write his own apps with zero threshold.
AI Growth Hacking is an advanced methodology for driving growth through intelligent content creation and distribution in the age of artificial intelligence. It inherits the innovative spirit and data-driven philosophy of traditional growth hacking, while utilizing the power of AI technology to make content the core engine of growth. Definition Content-driven ...
MJ Painting for the current hottest Midjourney, a lot of partners say MJ Painting Don't know how to use, let's explain one by one the configuration of MJ Painting Painting Description Keywords Formula Subject (plus the following) + Environment (background, surroundings) + Atmosphere (blazing sun, foggy, scary,...
Showcasing how top companies, governments, researchers and startups are utilizing Google's AI solutions to enhance their work. This post was originally published on the Transform with Google Cloud blog. First published on April 12, 2024; latest use case update on September 24, 2024 . Since ...
The OpenAI o1 family of models is a new class of large language models trained through reinforcement learning and designed to perform complex reasoning. o1 models think before they answer and are capable of generating long internal chains of thought before responding to the user. o1 models excel at scientific reasoning and perform well on competitive programming problems (Cod...
An Alternative to Transformer in Language Modeling The Transformer architecture is a key component of the success of large language models (LLMs). Almost all large language models in use today employ this architecture, from open source models such as Mistral to closed source models such as ChatGPT. To further improve ...
ChatGPT memory function has been open for a long time, many friends do not understand its characteristics. Memory is not just an on/off switch, it can't be simply understood that if you turn it on, it remembers the history messages, and if you turn it off, it doesn't remember the history messages. Principle of Memory Function In GPT4o system command, ChatGPT preset prompt word command is what...
Original article: https://arxiv.org/abs/2409.09030 Abstract In recent years, Large Language Models (LLMs) have enjoyed remarkable success and have been widely used in a variety of downstream tasks, especially in tasks in the software engineering (SE) domain. We have found that many studies that combine LLMs with SE...
As we all know, when we need to let a large language model execute a task, we need to input a Prompt to guide its execution, which is described using natural language. For simple tasks, natural language can describe them clearly, such as: "Please translate the following into Simplified Chinese:", "Please generate the...
This guide is intended to be a concise introduction for readers interested in researching AI UX design. This guide will cover the role of the AI engineer, the AI value chain and success stories of AI applications, and explore some of the basic principles of AI UX design. Original article: https://docs.google.com/pr...
Good morning, everyone! I'm Louis-Francois, co-founder and CTO of Towards AI, and today we're going to dive into what may be the best Retrieval-Augmented Generation (RAG) stack available today -- thanks to the fascinating research of Wang et al. (2024). This research provides a treasure trove for building optimal RAG systems...
Course As the saying goes, "Writing is rewriting." It has been proven that Claude can usually improve the accuracy of his responses when asked! There are many ways to prompt Claude to "think again." The same ways that allow one to naturally check one's work usually apply to Claude. (Questions about when and how...
Exercise In this exercise, we will write prompts for a programming assistance and teaching robot that can read code and provide guided corrections when appropriate. Fill in each of the yellow boxes below with prompt elements that match the descriptions and examples in the previous Complex Prompts example. When you fill in the...
Example Prompts in finance can be quite complex for reasons similar to legal prompts. Below is an exercise for a financial usage scenario where Claude is used to analyze tax information and answer questions. As with the legal services example, we have reordered some of the elements as i...
Course Input prompts in the legal industry can be quite complex due to the need to: Parse long documents Handle complex subject matter Format output in a very specific way Follow a multi-step analysis process Let's look at how to use a complex input prompt template to build an input prompt for a specific legal use case. Example Below...
COURSE Congratulations you've made it to the last chapter! Now it's time to put it all together and learn how to create unique and complex prompts. In the following, you'll use our recommended structure for leading complex prompts. In the second half of the chapter, we'll show some industry-specific prompts and explain what these mention...
Lesson Some bad news: Claude sometimes "hallucinates" and makes untrue or unreasonable statements. The good news is that there are techniques that can help you minimize the occurrence of hallucinations. In the following, we will discuss a few of these techniques, which include: Giving Claude the opportunity to answer questions he doesn't know the answers to...