Best AI tools for< Architecture Professor >

FuriosaAI is an AI application that offers Hardware RNGD for LLM and Multimodality, as well as WARBOY for Computer Vision. It provides a comprehensive developer experience through the Furiosa SDK, Model Zoo, and Dev Support. The application focuses on efficient AI inference, high-performance LLM and multimodal deployment capabilities, and sustainable mass adoption of AI. FuriosaAI features the Tensor Contraction Processor architecture, software for streamlined LLM deployment, and a robust ecosystem support. It aims to deliver powerful and efficient deep learning acceleration while ensuring future-proof programmability and efficiency.

illustrarch is an AI-powered platform that offers a daily dose of architecture content, including articles, architectural portfolio presentations, visualizations, and design tips. The platform focuses on providing resources for architecture students and professionals to enhance their design skills and stay updated with the latest trends in the field. With a strong emphasis on artificial intelligence and technology, illustrarch aims to revolutionize the way architecture is approached and practiced.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

Lumen Scaler is an AI upscaling tool that specializes in transforming low-resolution medicare photos into professional-quality images. With the help of creative AI upscaling technology, users can enhance various aspects of their photos, such as realism, animation style, architecture, artworks, game assets, and portrait style. The tool is user-friendly, offering a seamless experience for individuals looking to improve the quality of their images quickly and effortlessly.

MindCopilot is an AI tool designed to enhance the user experience of ChatGPT by providing a better UI. It offers features like no repetitive login, conversations linked with license, creating folders, selecting AI characters, and using your own API key. Users can enjoy a lifetime license with all future features included. The tool aims to simplify the process of interacting with ChatGPT and improving the overall user experience for software developers, wedding planners, and other professionals.

CloudMinds is a world-leading creator, producer, and operator of cloud robot systems and services. Founded in 2015, CloudMinds has created a unique Cloud Robot Architecture based on the vision of “Cloud AI Connecting To The Future”, and launched the HARIX Cloud AI Robot Operating System and end-to-end commercial services in 2017. With the mission of “Operating Smart Robots for People”, the company aims to lead the cutting-edge technologies development for building a humanoid robot for enterprise and families. Our cloud robots will help people to do dull, dirty, dangerous or demeaning (4D) work, and thus making people’s lives more enjoyable.

Vidu Studio is an AI video generation platform that utilizes a text-to-video artificial intelligence model developed by ShengShu-AI in collaboration with Tsinghua University. It can create high-quality video content from text prompts, offering a 16-second 1080P video clip with a single click. The platform is built on the Universal Vision Transformer (U-ViT) architecture, combining Diffusion and Transformer models to produce realistic and detailed video content. Vidu Studio stands out for its ability to generate culturally specific content, particularly focusing on Chinese cultural elements like pandas and loongs. It is a pioneering platform in the field of text-to-video technology, with a strong potential to influence the future of digital media and content creation.

Roughly is a creative platform that allows users to bring their ideas to life through art and design. The platform enables users to dream like an artist, draw like a kid, and create like a professional. With a focus on various categories such as architecture, portraits, interiors, games, characters, landscapes, fashion, movies, sculptures, and sneakers, Roughly provides a space for users to unleash their creativity and imagination. The platform also emphasizes privacy and adheres to strict terms of service to protect user rights and content. Join Roughly to explore a world of artistic possibilities and turn your visions into reality.

InstaRoom is an AI-based instant interior decoration tool that allows users to design and visualize their rooms effortlessly. The application combines AI design with seamless Photoshop-like editing capabilities, enabling users to transform their spaces with just a few clicks. With over 20 design styles for both interiors and exteriors, InstaRoom offers a wide range of options to cater to different preferences. Users can render exterior architecture from a sketch, add furniture to empty rooms, and selectively redesign specific parts of a room. InstaRoom provides a user-friendly experience, allowing users to capture a photo of their room on any device and immediately start redesigning. The tool has gained popularity among both professionals and amateurs, making interior design accessible to everyone.

Études is a pioneering firm that seamlessly merges creativity and functionality to redefine architectural excellence. They offer a comprehensive suite of professional services catering to a diverse clientele, including homeowners and commercial developers. Services include renovation and restoration, continuous support, app access, consulting, project management, and architectural solutions. The Études Architect App allows collaboration among architects, showcasing projects and providing insights into the world of architecture. The Études Newsletter offers thought-provoking articles, case studies, and exclusive design insights. Testimonials highlight the time-saving and insightful benefits of using Études.

ReRender AI is an AI architecture design tool that revolutionizes the rendering process for architects. It allows users to upload project images, explore various design styles, and generate photorealistic AI renders within seconds. The tool's exceptional quality, speed, and user-friendly interface make it a valuable asset for professionals in the field, enabling quick design iterations and high-quality visual presentations to clients.

Talking Tree is an AI-powered document management tool designed for legal professionals to digitize and manage legal documents efficiently. It offers advanced OCR technology and a custom RAG architecture to convert printed and handwritten text into searchable structured data. The platform enables users to find information, draft agreements, and analyze legacy documents with unprecedented speed and accuracy. Talking Tree provides a secure and user-friendly interface with multilingual support, making it a valuable resource for legal research and document management.

InQI.AI is an AI design software that offers smart design solutions for modern architects and builders. It leverages data at the core of architecture and construction excellence, reimagining design and construction through data. InQI.AI provides streamlined site planning and enhanced collaboration for designers, architects, home & ADU builders, pool builders, and land developers. With features like AI-generated site plans, high-resolution aerial imagery, and tools for designing ADUs, pools, and more, InQI.AI aims to empower professionals in the industry with precision and creativity. The platform offers three editions tailored to different needs, crafted by industry experts to provide comprehensive solutions for architecture and construction projects.

ImgUpscaler AI is a free online AI tool that offers image upscaling and enhancement services. Users can upscale images by up to 800% while preserving important details, improve image quality instantly, sharpen blurry photos, denoise images, enhance portraits, restore old photos, and fix night scene lighting. The tool is ideal for photography professionals, e-commerce product photos, high-quality printing, social media content, real estate and architecture, app/website graphics, and anime upscaling. ImgUpscaler AI provides a seamless online experience with comprehensive AI image enhancements and supports multiple image formats.

The AI Music Generator is an advanced platform powered by AI technology that allows users to create original music in any genre, style, or mood. It offers a range of features such as Text To Song, Lyrics To Song, AI Song Cover Generator, Voice Remover, Music Extension, Lyrics Generator, and more. The platform leverages deep learning models, transformer architecture, and neural networks to produce professional-quality music with voice synthesis and audio processing capabilities. Users can customize music styles, genres, and arrangements, and the tool is suitable for musicians, content creators, game developers, filmmakers, podcasters, businesses, and creative professionals.

Fluxaigen is an advanced AI Image Generator powered by Flux Technology. It allows users to transform their ideas into stunning visuals in seconds through state-of-the-art AI technology. With unparalleled image quality, lightning-fast generation, versatile aspect ratios, cutting-edge architecture, and enhanced efficiency, Fluxaigen offers a user-friendly interface for both beginners and professionals to create captivating images in just a few simple steps.

The United States Artificial Intelligence Institute (USAII) is an AI certification platform offering a range of self-paced and powerful Artificial Intelligence certifications. The platform provides certifications for professionals at different experience levels, from beginners to experts, covering topics such as Neural Network Architectures, Deep Learning, Computer Vision, AI Adoption Strategies, and more. USAII aims to bridge the global AI skill gap by developing industry-relevant skills and certifying professionals. The platform offers exclusive AI learning programs for high school students and emphasizes the importance of AI education for future innovators.

MetaDevo is an AI tool that focuses on strong AI, 4E, and cognitive architectures. It provides insights and information on AI, robotics, cognitive science, technology, and more. The platform covers a wide range of topics related to artificial intelligence, robotics, and emerging technologies, offering valuable resources and discussions for enthusiasts and professionals in the field.

Rendair is an AI application that offers a range of tools and tutorials for architectural visualization and real estate professionals. The platform provides AI-powered solutions for tasks such as upscaling images, removing objects, placing 3D models in real-life locations, and designing over real locations with sketches. Rendair aims to streamline workflows, enhance visual communication, and boost efficiency in the architectural and real estate industries.

Promethean AI is an AI-powered creative assistant that helps teams create digital art and assets more efficiently. It offers a range of features including asset management, world building, and enterprise features. Promethean AI is used by a variety of industries including outsourcing, asset production, architectural visualization, games, and film.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

A curated list of Generative AI projects, tools, artworks, and models

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

LongLoRA is a tool for efficient fine-tuning of long-context large language models. It includes LongAlpaca data with long QA data collected and short QA sampled, models from 7B to 70B with context length from 8k to 100k, and support for GPTNeoX models. The tool supports supervised fine-tuning, context extension, and improved LoRA fine-tuning. It provides pre-trained weights, fine-tuning instructions, evaluation methods, local and online demos, streaming inference, and data generation via Pdf2text. LongLoRA is licensed under Apache License 2.0, while data and weights are under CC-BY-NC 4.0 License for research use only.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

This repository extends the LLVM framework to generate code for use with AMD/Xilinx AI Engine processors. AI Engine processors are in-order, exposed-pipeline VLIW processors focused on application acceleration for AI, Machine Learning, and DSP applications. The repository adds LLVM support for specific features like non-power of 2 pointers, operand latencies, resource conflicts, negative operand latencies, slot assignment, relocations, code alignment restrictions, and register allocation. It includes support for Clang, LLD, binutils, Compiler-RT, and LLVM-LIBC.

Intel® Neural Compressor is an open-source Python library that supports popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as TensorFlow, PyTorch, ONNX Runtime, and MXNet. It provides key features, typical examples, and open collaborations, including support for a wide range of Intel hardware, validation of popular LLMs, and collaboration with cloud marketplaces, software platforms, and open AI ecosystems.

1.5-Pints is a repository that provides a recipe to pre-train models in 9 days, aiming to create AI assistants comparable to Apple OpenELM and Microsoft Phi. It includes model architecture, training scripts, and utilities for 1.5-Pints and 0.12-Pint developed by Pints.AI. The initiative encourages replication, experimentation, and open-source development of Pint by sharing the model's codebase and architecture. The repository offers installation instructions, dataset preparation scripts, model training guidelines, and tools for model evaluation and usage. Users can also find information on finetuning models, converting lit models to HuggingFace models, and running Direct Preference Optimization (DPO) post-finetuning. Additionally, the repository includes tests to ensure code modifications do not disrupt the existing functionality.

Agentq is a tool that utilizes various agentic architectures to complete tasks on the web reliably. It includes a planner-navigator multi-agent architecture, a solo planner-actor agent, an actor-critic multi-agent architecture, and an actor-critic architecture with reinforcement learning and DPO finetuning. The repository also contains an open-source implementation of the research paper 'Agent Q'. Users can set up the tool by installing dependencies, starting Chrome in dev mode, and setting up necessary environment variables. The tool can be run to perform various tasks related to autonomous AI agents.

Intel® Extension for Transformers is an innovative toolkit designed to accelerate GenAI/LLM everywhere with the optimal performance of Transformer-based models on various Intel platforms, including Intel Gaudi2, Intel CPU, and Intel GPU. The toolkit provides the below key features and examples: * Seamless user experience of model compressions on Transformer-based models by extending [Hugging Face transformers](https://github.com/huggingface/transformers) APIs and leveraging [Intel® Neural Compressor](https://github.com/intel/neural-compressor) * Advanced software optimizations and unique compression-aware runtime (released with NeurIPS 2022's paper [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) and [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114), and NeurIPS 2021's paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754)) * Optimized Transformer-based model packages such as [Stable Diffusion](examples/huggingface/pytorch/text-to-image/deployment/stable_diffusion), [GPT-J-6B](examples/huggingface/pytorch/text-generation/deployment), [GPT-NEOX](examples/huggingface/pytorch/language-modeling/quantization#2-validated-model-list), [BLOOM-176B](examples/huggingface/pytorch/language-modeling/inference#BLOOM-176B), [T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), [Flan-T5](examples/huggingface/pytorch/summarization/quantization#2-validated-model-list), and end-to-end workflows such as [SetFit-based text classification](docs/tutorials/pytorch/text-classification/SetFit_model_compression_AGNews.ipynb) and [document level sentiment analysis (DLSA)](workflows/dlsa) * [NeuralChat](intel_extension_for_transformers/neural_chat), a customizable chatbot framework to create your own chatbot within minutes by leveraging a rich set of [plugins](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat/docs/advanced_features.md) such as [Knowledge Retrieval](./intel_extension_for_transformers/neural_chat/pipeline/plugins/retrieval/README.md), [Speech Interaction](./intel_extension_for_transformers/neural_chat/pipeline/plugins/audio/README.md), [Query Caching](./intel_extension_for_transformers/neural_chat/pipeline/plugins/caching/README.md), and [Security Guardrail](./intel_extension_for_transformers/neural_chat/pipeline/plugins/security/README.md). This framework supports Intel Gaudi2/CPU/GPU. * [Inference](https://github.com/intel/neural-speed/tree/main) of Large Language Model (LLM) in pure C/C++ with weight-only quantization kernels for Intel CPU and Intel GPU (TBD), supporting [GPT-NEOX](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox), [LLAMA](https://github.com/intel/neural-speed/tree/main/neural_speed/models/llama), [MPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/mpt), [FALCON](https://github.com/intel/neural-speed/tree/main/neural_speed/models/falcon), [BLOOM-7B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/bloom), [OPT](https://github.com/intel/neural-speed/tree/main/neural_speed/models/opt), [ChatGLM2-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/chatglm), [GPT-J-6B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptj), and [Dolly-v2-3B](https://github.com/intel/neural-speed/tree/main/neural_speed/models/gptneox). Support AMX, VNNI, AVX512F and AVX2 instruction set. We've boosted the performance of Intel CPUs, with a particular focus on the 4th generation Intel Xeon Scalable processor, codenamed [Sapphire Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html).

rwkv.cpp is a port of BlinkDL/RWKV-LM to ggerganov/ggml, supporting FP32, FP16, and quantized INT4, INT5, and INT8 inference. It focuses on CPU but also supports cuBLAS. The project provides a C library rwkv.h and a Python wrapper. RWKV is a large language model architecture with models like RWKV v5 and v6. It requires only state from the previous step for calculations, making it CPU-friendly on large context lengths. Users are advised to test all available formats for perplexity and latency on a representative dataset before serious use.

ChatRex is a Multimodal Large Language Model (MLLM) designed to seamlessly integrate fine-grained object perception and robust language understanding. By adopting a decoupled architecture with a retrieval-based approach for object detection and leveraging high-resolution visual inputs, ChatRex addresses key challenges in perception tasks. It is powered by the Rexverse-2M dataset with diverse image-region-text annotations. ChatRex can be applied to various scenarios requiring fine-grained perception, such as object detection, grounded conversation, grounded image captioning, and region understanding.

OpenContracts is an Apache-2 licensed enterprise document analytics tool that supports multiple formats, including PDF and txt-based formats. It features multiple document ingestion pipelines with a pluggable architecture for easy format and ingestion engine support. Users can create custom document analytics tools with beautiful result displays, support mass document data extraction with a LlamaIndex wrapper, and manage document collections, layout parsing, automatic vector embeddings, and human annotation. The tool also offers pluggable parsing pipelines, human annotation interface, LlamaIndex integration, data extraction capabilities, and custom data extract pipelines for bulk document querying.

Writing assistant for architecture dissertations

Especialista em dados de pós-graduação em Arquitetura e Urbanismo.

AI Cloud Computing (Engineering, Architecture, DevOps ) Certifications Coach for AWS, GCP, and Azure. I provide timed mock exams.

If you're an AEC professional, I can help you find the best AI tool for your work.

I scrape and answer from architecture.digital.gov.au

Architecture and Construction Firms handle sensitive project data, client information, and architectural plans, necessitating strict data privacy measures.

A tool that automatically generates interactive, real-time diagrams like PlantUML from codebases, aiding in the understanding and design of software systems

Optimizes data systems and designs new data architectures.

Guides cloud strategy and architecture to optimize business operations.

Guides in designing, implementing, and maintaining technical architecture.

Designs and manages technical solutions to meet business needs.

Designs and optimizes organization's network architecture to ensure seamless operations.

Expert in self-assembling space architecture, focusing on TESSERAE.

Guides the development and implementation of IT systems architecture.

Strategic advisor for triage management and pipeline optimization in business operations.

Your expert guide to the intricate world of Swiss architecture, blending sustainability with innovation.

Expert in sustainable & modern architecture, integrating permaculture principles.

Expert in microfrontend architecture, guiding through trends, best practices, and challenges of complex, scalable UI integrations.

Architext is a sophisticated chatbot designed to guide users through the complexities of AWS architecture, leveraging the AWS Well-Architected Framework. It offers real-time, tailored advice, interactive learning, and up-to-date resources for both novices and experts in AWS cloud infrastructure.

Azure Arc expert providing guidance on architecture, deployment, and management.