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 -- ...
This site recommends many based on oneapi/newapi paid and free transit API, some unscrupulous service providers on the model miserable false, we use a variety of verification methods, review the model authenticity, available models, response time. The result is for reference only, to prevent the gentleman not to prevent the villain. (Only verify the domestic accessible API, the KEY you submit in the local storage does not leak)
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 now in 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 ...
Overview The Custom Directives feature allows you to share any information you would like ChatGPT to take into account in your response. Your instructions will be applied to new conversations. Availability All endpoints Web, iOS and Android How your data is used You can edit or delete custom commands for future conversations at any time...
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...
Introduction Why to introduce him separately, many scenarios apply GPT3 embedded vector representation, the efficiency and results may not be as good as the traditional model, which needs to be always paid attention to. BM25 is a vector space model, but it does not belong to the word vector model, document vector model, image vector model, knowledge graph vector model...
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