AI knowledge Page 11

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, ...

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...

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 ...

TL;DR This 8200+ word article takes about 15 minutes to read in full. This article briefly reviews the history of ChatGPT, the latest big-model application of deep learning, from perceptual machines to ... Original article: https://hutusi.com/articles/the-history-of-neural-networks There is nothing to fear in life, only...

Original article: [State-of-the-art Code Generation with AlphaCodium - From Prompt Engineering to Flow Engineering] by Tal Ridnik Overview The conundrum of code generation is different from ordinary natural language Processing Differences -- ...

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...

Thesis: https://arxiv.org/abs/2402.14207 Can we teach LLMs to write long articles from scratch, based on reliable sources? Do Wikipedia editors think this will help them? 📣 Announcing STORM, a system for writing Wikipedia-style articles based on Internet searches. I'm currently working on my...

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 ...

Original text: video generation models as world simulators We work on large-scale training of generative models on video data. Specifically, we jointly train text-conditional diffusion-based models for videos and images of different time lengths, resolutions, and aspect ratios. I ...

Original: https://arxiv.org/pdf/2309.04269 Quick Read: "From Sparse to Dense: GPT-4 Summary Generation Using Chained Density Hints" Recorded in: Summarizing Knowledge Commonly Used Prompts Abstract Determining the "right" amount of information to be included in an automated text summary is a ... Determining the "right" amount of information to include in an automated text summary is a challenging task...

Structured commands: Paradigm Picture quality words >> Generally more fixed: masterpiece, masterpiece, best quality, Highly detailed, official art, Tyndall effect, fine CG quality, 8K, oversized wallpaper, etc... Generally start by typing masterpiece, best quality, in order to mention...