https://youtu.be/iScy18pVR58Chess Coding Challenge (C#) Welcome to the chess coding challenge! This is a friendly competition in which your goal is to create a small chess bot (in C#) using the framework provided in this repository. Once submissions close, these bots will battle it out to discover which bot is best! I will then create a video exploring the implementations of the best and most unique/interesting bots. I also plan to make a small game that features these most interesting/challeng…
🎓 LLM Drifts: How Is ChatGPT’s Behavior Changing over Time? Large language models (LLM) services such as GPT-4 and GPT-3.5 are widely being used. However, when and how these models are updated over time is opaque. Towards filling in this gap, this repository contains (i) a diverse set of datasets, and (ii) generations from popular LLMs (including GPT-4 and GPT-3.5) on these datasets over time. 🔍 Main Findings Figure 1: Performance of the March 2023 and June 2023 versions of GPT-4 and GP…
A tiny JVM written in Rust. Learning projectRJVM This project is an attempt to write a minimal JVM 7 using Rust. Important note: this is a hobby project, built for fun and for learning purposes. In particular, it is my first real program in Rust and I've used to learn the language - thus, I'm sure some parts of the code are not very "idiomatic" Rust since I'm just learning the language. The code quality is definitely not production ready - there are not enough tests, there i…
An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"RetNet An implementation of Retentive Network: A Successor to Transformer for Large Language Models in PyTorch. About this repository This is a minimal, pure pytorch implementation of RetNet. RetNet paper: Retentive Network: A Successor to Transformer for Large Language Models in PyTorch. The contributors(s) to this repository are not authors of the original paper. All credit for the idea and formulati…
Running Stable Diffusion on a RPI Zero 2 (or in 260MB of RAM)OnnxStream The challenge is to run Stable Diffusion, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion is typically 8GB. Generally major machine learning frameworks and libraries are focused on minimizing …
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&ARunning Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A Clearly explained guide for running quantized open-source LLM applications on CPUs using LLama 2, C Transformers, GGML, and LangChain Step-by-step guide on TowardsDataScience: https://towardsdatascience.com/running-llama-2-on-cpu-inference-for-document-q-a-3d636037a3d8 Context Third-party commercial large language model (L…
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Open-source tool to bypass windows and linux passwords from bootable usbUnshackle - Password Bypass Tool Unshackle is an open-source tool to bypass Windows and Linux user passwords from a bootable USB based on Linux. (Linux bypass is still under development) Contributions are welcomed. To-Do List: Feature Status Easy to use ✅ Support windows ✅ Simple CLI ✅ Support linux 🟡 Tutorial video 🟡 easy to build ❌ Simple GUI ❌ ✅ = Done 🟡 = Under development ❌ = Planned Requirements …
Walnut is a simple application framework for Vulkan and Dear ImGui appsWalnut Walnut is a simple application framework built with Dear ImGui and designed to be used with Vulkan - basically this means you can seemlessly blend real-time Vulkan rendering with a great UI library to build desktop applications. The plan is to expand Walnut to include common utilities to make immediate-mode desktop apps and simple Vulkan applications. Currently supports Windows - with macOS and Linux support planned. …