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Proposition Retrieval: Proposition Retrieval - Chief AI Sharing Circle

Proposition Retrieval

Original text: "Dense X Retrieval: What Retrieval Granularity Should We Use?" Note: This method is suitable for a small number of models, such as the OPENAI series, the Claude series, Mixtral, Yi, and qwen. Abstract In open-domain natural language processing (NLP) tasks, ...

A New Prompt Method - Analogical Prompting - Chief AI Sharing Circle

A new approach to Prompting - Analogical Prompting

Today I read an interesting paper "Large Language Models as Analogical Reasoners", which mentions a new approach to Prompt - "Analogical Prompting. If you are familiar with prompt engineering, you must have heard of "Chain of Thought" (CoT), which is an analogical method of prompting...

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GizAI integrates with mainstream commercially available generative AI tools, unlimited text, image, audio, and video generation tools, and it's all completely free!

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.

BoT: Reinforcement Thinking:Solving Trial-and-Error Problems with Large Language Models-Chief AI Sharing Circle

BoT: Enhanced Thinking: Solving Trial and Error Problems with Large Language Models

Abstract The reasoning performance of Large Language Models (LLMs) on a wide range of problems relies heavily on chained-thinking prompts, which involves providing a number of chained-thinking demonstrations as exemplars in the prompts. Recent research, e.g., thinking trees, has pointed to exploration and self-assessment of reasoning in complex problem solving ...

Tokenization - Chief AI Sharing Circle

Tokenization

Hello everyone, today we're going to explore the technique of participles in large-scale language modeling (LLM). Unfortunately, disambiguation is a more complex and tricky part of current top LLMs, but understanding some of its details is very necessary because many people blame some of the shortcomings of LLMs on neural networks or other seemingly mysterious...

LangChain Program Executional Intelligence - Chief AI Sharing Circle

LangChain Program Executive Intelligence

Planning-executing intelligences provide a faster, more cost-effective, and more performant solution to task execution than previous designs. In this article, we will guide you through the construction of three planning intelligences in LangGraph. We have introduced three intelligences structured in the "plan-execute" mode on the LangGraph platform. These intelligences ...

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