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Why does the generation speed slow down when using the GGUF model with wan2.1?

I am testing the generation of wan2.1 with ComfyUI. When generating with the following parameter values, is there a reason why the generation with the quantized model is dramatically slower and how can I solve it? (Test settings) RTX4090, 856/856 pixel image, 14 steps, 2sec ①I2V 720 fp8 model (16GB)・・・ 160 sec ②I2V 720 Q5_0 GGUF model (12GB)・・・260 sec submitted by /u/BBQ99990 [comments] Source link

Understanding AI Agent Memory: Building Blocks for Intelligent Systems

AI agent memory comprises multiple layers, each serving a distinct role in shaping the agent’s behavior and decision-making. By dividing memory into different types, it is better to understand and design AI systems that are both contextually aware and responsive. Let’s explore the four key types of memory commonly used in AI agents: Episodic, Semantic, Procedural, and Short-Term (or Working) Memory, along with the interplay between long-term and short-term storage. 1. Episodic Memory: Recalling Past Interactions Episodic memory in AI refers to the storage of past interactions and the specific actions taken by the agent. Like human memory, episodic memory

The Detailed Execution Pipeline of .NET

.NET is a powerful framework that enables developers to build a wide range of applications, from web and desktop to cloud and mobile. To truly understand how .NET applications run, it’s essential to explore the execution pipeline that transforms source code into a running application. This blog provides an in-depth yet easy-to-understand breakdown of the .NET execution pipeline. 1. Writing and Compiling the Source Code Everything starts with writing the source code using languages like C#, F#, or VB.NET. This code is then compiled using the respective language compiler (e.g., Roslyn for C#). Compilation Process: The compiler converts the source

Making LLMs do what you want

I wrote a blog post mainly targeted towards Software Engineers looking to improve their prompt engineering skills while building things that rely on LLMs. Non-engineers would surely benefit from this too. Article: https://www.maheshbansod.com/blog/making-llms-do-what-you-want/ Feel free to provide any feedback. Thanks! submitted by /u/a_cube_root_of_one [comments] Source link

Good webhosts?

Hi there, I currently have a webhost (Hostrocket) that I’ve had… forever, like 10 years, and I don’t think they even offer webhost packages anymore and I’m just a legacy customer (it’s like $14/mo, don’t even remember the specs, I think it’s fairly unmetered). So apparently a month ago, they cut off external SQL connection access, so unless your database is localhost to the site code itself, you can’t connect to it (I used to be able to use Navicat on my site’s db, but no longer the case. They offer phpmyadmin, but it sucks). This sucks because I felt

Woman Alarmed When Date Uses ChatGPT to Psychologically Profile Her

As if the dating world wasn’t already nightmarish enough, artificial intelligence seems to be making it worse — or, at the very least, weirder. In an editorial for the Financial Times, reporter Jemima Kelly was flummoxed when a recent date admitted that he had instructed ChatGPT to write a psychological profile on her. Specifically, Kelly’s unidentified suitor dispatched ChatGPT’s buzzy new “deep research” tool to give him insights into her personality. The chatbot ended up spitting out a whopping eight pages of information about the reporter, who like most others in her field, has thousands of published articles for the