The context window of a large model is a key concept that affects the model's ability to process and generate text. The size of the context window determines the total number of input and output tokens that the model can consider in a single interaction. Definition of Context Window Context Window (Context Window) refers to the large...
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...
Designed for AI product teams and AI leaders, introduces how to evaluate LLM-based products. Provides an easy introduction to learning with no programming knowledge required. Course will begin on December 9, 2024. What you'll learn The basics of LLM evaluation: from evaluation methods and benchmarking...
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...
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 ...
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