Best AI tools for< Compile Kernels >

Roadmapped.ai is an AI-powered platform designed to help users learn various topics efficiently and quickly. By providing a structured roadmap generated in seconds, the platform eliminates the need to navigate through scattered online resources aimlessly. Users can input a topic they want to learn, and the AI will generate a personalized roadmap with curated resources. The platform also offers features like AI-powered YouTube search, saving roadmaps, priority support, and access to a private Discord community.

SoraPrompt is an AI model that can create realistic and imaginative scenes from text instructions. It is the latest text-to-video technology from the OpenAI development team. Users can compile text prompts to generate video query summaries for efficient content analysis. SoraPrompt also allows users to share their interests and ideas with others.

Rargus is a generative AI tool that specializes in turning customer feedback into actionable insights for businesses. By collecting feedback from various channels and utilizing custom AI analysis, Rargus helps businesses understand customer needs and improve product development. The tool enables users to compile and analyze feedback efficiently, leading to data-driven decision-making and successful product launches. Rargus also offers solutions for consumer insights, product management, and product marketing, helping businesses enhance customer satisfaction and drive growth.

AI Document Creator is an innovative tool that leverages artificial intelligence to assist users in generating various types of documents efficiently. The application utilizes advanced algorithms to analyze input data and create well-structured documents tailored to the user's needs. With AI Document Creator, users can save time and effort in document creation, ensuring accuracy and consistency in their outputs. The tool is user-friendly and accessible, making it suitable for individuals and businesses seeking to streamline their document creation process.

Dokkio is an AI-powered platform that helps users find, organize, and understand all of their online files. By utilizing AI technology, Dokkio enables users to work with their cloud files efficiently and collaboratively. The platform offers tools for managing multiple activities, finding documents and files, compiling research materials, and organizing a content library. Dokkio aims to streamline the process of accessing and utilizing online content, making it easier for users to stay organized and productive.

Smarty is an AI-powered productivity tool that acts as an execution engine for businesses. It combines AI technology with human experts to help users manage tasks, events, scheduling, and productivity. Smarty offers features like natural-language-based console, unified view of tasks and calendar, automatic prioritization, brain dumping, automation shortcuts, and personalized interactions. It helps users work smarter, stay organized, and save time by streamlining workflows and enhancing productivity. Smarty is designed to be a versatile task organizer app suitable for professionals looking to optimize daily planning and task management.

aiebooks.app is an AI application that allows users to generate personalized eBooks quickly and effortlessly. Powered by OpenAI's GPT-3.5, this tool is designed to transform ideas into reality by compiling clear and concise content on any topic of choice. Whether you are a student, professional, or simply curious, aiebooks.app simplifies complex subjects for convenient and in-depth learning.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Replexica is an AI-powered i18n compiler for React that is JSON-free and LLM-backed. It is designed for shipping multi-language frontends fast.

Replit is a software creation platform that provides an integrated development environment (IDE), artificial intelligence (AI) assistance, and deployment services. It allows users to build, test, and deploy software projects directly from their browser, without the need for local setup or configuration. Replit offers real-time collaboration, code generation, debugging, and autocompletion features powered by AI. It supports multiple programming languages and frameworks, making it suitable for a wide range of development projects.

Coddy is an AI-powered coding assistant that helps developers write better code faster. It provides real-time feedback, code completion, and error detection, making it the perfect tool for both beginners and experienced developers. Coddy also integrates with popular development tools like Visual Studio Code and GitHub, making it easy to use in your existing workflow.

illbeback.ai is the #1 site for AI jobs around the world. It provides a platform for both job seekers and employers to connect in the field of Artificial Intelligence. The website features a wide range of AI job listings from top companies, offering opportunities for professionals in the AI industry to advance their careers. With a user-friendly interface, illbeback.ai simplifies the job search process for AI enthusiasts and provides valuable resources for companies looking to hire AI talent.

PseudoEditor is a free, fast, and online pseudocode IDE/editor designed to assist users in writing and debugging pseudocode efficiently. It offers dynamic syntax highlighting, code saving, error highlighting, and a pseudocode compiler feature. The platform aims to provide a smoother and faster writing environment for creating algorithms, resulting in up to 5x faster pseudocode writing compared to traditional programs like notepad. PseudoEditor is the first and only browser-based pseudocode editor/IDE available for free, supported by ads to cover hosting costs.

Life Story AI is an application that utilizes artificial intelligence to assist users in writing their life stories or the life stories of their parents. The app guides users through a series of questions, transcribes their responses, and compiles them into a personalized book of up to 250 pages. Users can customize the cover, edit content, and add photos to create a unique family memoir. With features like voice-to-text transcription, grammar correction, and style formatting, Life Story AI simplifies the process of preserving cherished memories in a beautifully crafted book.

Narada is an AI application designed for busy professionals to streamline their work processes. It leverages cutting-edge AI technology to automate tasks, connect favorite apps, and enhance productivity through intelligent automation. Narada's LLM Compiler routes text and voice commands to the right tools in real time, offering seamless app integration and time-saving features.

GetSelected.ai is a personal AI-powered interviewer platform that helps users enhance their interview skills through AI technology. The platform offers features such as mock interviews, personalized feedback, job position customization, AI-driven quizzes, resume optimization, and code compiler for IT roles. Users can practice interview scenarios, improve communication skills, and prepare for recruitment processes with the help of AI tools. GetSelected.ai aims to provide a comprehensive and customizable experience to meet unique career goals and stand out in the competitive job market.

MacroMicro is an AI analytics platform that combines technology and research expertise to empower users with valuable insights into global market trends. With over 0k registered users and 0M+ monthly website traffic, MacroMicro offers real-time charts, cycle analysis, and data-driven insights to optimize investment strategies. The platform compiles the MM Global Recession Probability, utilizes OpenAI's Embedding technology, and provides exclusive reports and analysis on key market events. Users can access dynamic and automatically-updated charts, a powerful toolbox for analysis, and engage with a vibrant community of macroeconomic professionals.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

T-MAC is a kernel library that directly supports mixed-precision matrix multiplication without the need for dequantization by utilizing lookup tables. It aims to boost low-bit LLM inference on CPUs by offering support for various low-bit models. T-MAC achieves significant speedup compared to SOTA CPU low-bit framework (llama.cpp) and can even perform well on lower-end devices like Raspberry Pi 5. The tool demonstrates superior performance over existing low-bit GEMM kernels on CPU, reduces power consumption, and provides energy savings. It achieves comparable performance to CUDA GPU on certain tasks while delivering considerable power and energy savings. T-MAC's method involves using lookup tables to support mpGEMM and employs key techniques like precomputing partial sums, shift and accumulate operations, and utilizing tbl/pshuf instructions for fast table lookup.

ABQ-LLM is a novel arbitrary bit quantization scheme that achieves excellent performance under various quantization settings while enabling efficient arbitrary bit computation at the inference level. The algorithm supports precise weight-only quantization and weight-activation quantization. It provides pre-trained model weights and a set of out-of-the-box quantization operators for arbitrary bit model inference in modern architectures.

QServe is a serving system designed for efficient and accurate Large Language Models (LLM) on GPUs with W4A8KV4 quantization. It achieves higher throughput compared to leading industry solutions, allowing users to achieve A100-level throughput on cheaper L40S GPUs. The system introduces the QoQ quantization algorithm with 4-bit weight, 8-bit activation, and 4-bit KV cache, addressing runtime overhead challenges. QServe improves serving throughput for various LLM models by implementing compute-aware weight reordering, register-level parallelism, and fused attention memory-bound techniques.

Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.

KsanaLLM is a high-performance engine for LLM inference and serving. It utilizes optimized CUDA kernels for high performance, efficient memory management, and detailed optimization for dynamic batching. The tool offers flexibility with seamless integration with popular Hugging Face models, support for multiple weight formats, and high-throughput serving with various decoding algorithms. It enables multi-GPU tensor parallelism, streaming outputs, and an OpenAI-compatible API server. KsanaLLM supports NVIDIA GPUs and Huawei Ascend NPU, and seamlessly integrates with verified Hugging Face models like LLaMA, Baichuan, and Qwen. Users can create a docker container, clone the source code, compile for Nvidia or Huawei Ascend NPU, run the tool, and distribute it as a wheel package. Optional features include a model weight map JSON file for models with different weight names.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-the-art performance across diverse scenarios.

ExLlamaV2 is an inference library for running local LLMs on modern consumer GPUs. It is a faster, better, and more versatile codebase than its predecessor, ExLlamaV1, with support for a new quant format called EXL2. EXL2 is based on the same optimization method as GPTQ and supports 2, 3, 4, 5, 6, and 8-bit quantization. It allows for mixing quantization levels within a model to achieve any average bitrate between 2 and 8 bits per weight. ExLlamaV2 can be installed from source, from a release with prebuilt extension, or from PyPI. It supports integration with TabbyAPI, ExUI, text-generation-webui, and lollms-webui. Key features of ExLlamaV2 include: - Faster and better kernels - Cleaner and more versatile codebase - Support for EXL2 quantization format - Integration with various web UIs and APIs - Community support on Discord

This repository documents how to optimize common algorithms based on CUDA. It includes subdirectories with code implementations for specific optimizations. The optimizations cover topics such as compiling PyTorch from source, NVIDIA's reduce optimization, OneFlow's elementwise template, fast atomic add for half data types, upsample nearest2d optimization in OneFlow, optimized indexing in PyTorch, OneFlow's softmax kernel, linear attention optimization, and more. The repository also includes learning resources related to deep learning frameworks, compilers, and optimization techniques.

Basalt is a lightweight and flexible CSS framework designed to help developers quickly build responsive and modern websites. It provides a set of pre-designed components and utilities that can be easily customized to create unique and visually appealing web interfaces. With Basalt, developers can save time and effort by leveraging its modular structure and responsive design principles to create professional-looking websites with ease.

Marlin is a highly optimized FP16xINT4 matmul kernel designed for large language model (LLM) inference, offering close to ideal speedups up to batchsizes of 16-32 tokens. It is suitable for larger-scale serving, speculative decoding, and advanced multi-inference schemes like CoT-Majority. Marlin achieves optimal performance by utilizing various techniques and optimizations to fully leverage GPU resources, ensuring efficient computation and memory management.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system. The core features of SGLang include: - **A Flexible Front-End Language**: This allows for easy programming of LLM applications with multiple chained generation calls, advanced prompting techniques, control flow, multiple modalities, parallelism, and external interaction. - **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.

HQQ is a fast and accurate model quantizer that skips the need for calibration data. It's super simple to implement (just a few lines of code for the optimizer). It can crunch through quantizing the Llama2-70B model in only 4 minutes! 🚀

Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

ChatGLM.cpp is a C++ implementation of ChatGLM-6B, ChatGLM2-6B, ChatGLM3-6B and more LLMs for real-time chatting on your MacBook. It is based on ggml, working in the same way as llama.cpp. ChatGLM.cpp features accelerated memory-efficient CPU inference with int4/int8 quantization, optimized KV cache and parallel computing. It also supports P-Tuning v2 and LoRA finetuned models, streaming generation with typewriter effect, Python binding, web demo, api servers and more possibilities.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

Expert in Raspberry Pi kernels and Python blockchain

Formal and professional Linux Kernel Expert, adept in technical jargon.

I compile and enrich precise company and professional profiles. Simply provide any name, email address, or company and I'll generate a complete profile.

Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started

I compile neat, structured meeting minutes.

FlutterCraft is an AI-powered assistant that streamlines Flutter app development. It interprets user-provided descriptions to generate and compile Flutter app code, providing ready-to-install APK and iOS files. Ideal for rapid prototyping, FlutterCraft makes app development accessible and efficient.

Expert in compiler techniques and frameworks.

I'm a tutor for JavaScript and Melange, a compiler for OCaml that targets JavaScript.

中文代码编译专家

Compiles technical feedback for recruiters

A Zig Language Specialist

Write ReScript code. Trained with versions 10 & 11. Documentation github.com/guillempuche/gpt-rescript

Crafts full coloring books with a cover and compiled into a downloadable document.

Friendly and normal LaTeX coding assistant.

按照日报内容生成周报

Song Playlist Creator

OSINT Agent for lawful, detailed online research.

Helps you code a shader for Gandi IDE project in GLSL. https://getgandi.com/extensions/glsl-in-gandi-ide

Natural remedies for over 220 Ailments Compiled from 5 Years of Extensive Research.