AI knowledge Page 7

  INTRODUCTION Intelligent body based approach to enhance retrieval augmented generation. Multi-Document Agentic RAG (Retrieval Augmented Generation) is an advanced information retrieval and generation method that combines multi-document processing, intelligent body systems, and large...

We have released a large number of card map cues based on the Claude app. Some of you may wonder why there is no output format constraint for the cues, but the output format is always SVG and stable. First of all, the card map prompts use the LISP language as "pseudo-code", the reason for using the LISP language is that it is possible to...

The future of conversion rate optimization is here - and it's being driven by AI. From personalized video to scalable email outreach, learn how to maximize conversions with AI CRO. If Kieran and I were to invest our marketing budgets in the next 6-12 months, we'd choose AI conversion...

Abstract Large Language Models (LLMs) have sparked widespread interest around the world, enabling many previously elusive AI applications.LLMs are controlled by highly expressive textual prompts and return textual answers. However, this unstructured text of input and output makes LLM-based applications vulnerable...

This eBook, "How to Build a Career in Artificial Intelligence", written by Andrew Ng, founder of DeepLearning.AI, is a comprehensive guide on how to build and develop a career in AI by learning to program, working on projects, finding jobs, and other steps. Introduction This is a career development...

ToolGen is a framework for integrating tool knowledge directly into large-scale language models (LLMs), enabling seamless tool invocation and language generation by representing each tool as a unique token. It was developed by Renxi Wang et al. to improve the performance of tool retrieval and task completion. Tool markup ...

  Despite the continuous release of ever larger and smarter models, state-of-the-art generative Large Language Models (LLMs) still suffer from a major problem: they perform poorly when dealing with tasks that require specialized knowledge. This lack of expertise can lead to problems such as the phenomenon of hallucination, whereby model generation...

Introduction As the field of Artificial Intelligence (AI) continues to grow, cue engineering has become a promising career. Today, many people are striving to acquire the skills to interact effectively with Large Language Models (LLMs). Do you share the same desire? Are thinking about where to start and how to proceed? We offer...

RAG stands for Retrieval Augmented Generation. Let's break down this terminology to get a clearer picture of what RAG is: R -> Retrieval A -> Augmentation G -> Generation Basically, the Large Language Model (LLM) we are using now is not real...

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...