Best AI tools for< Construct Broadcast Service >
20 - AI tool Sites
NovelAI
NovelAI is an AI-powered storytelling platform that offers a monthly subscription service for AI-assisted image generation and storytelling. Users can create unique stories, illustrate thrilling tales, and write seductive romances with the help of AI technology. The platform provides a creative sandbox for imagination without censorship or guidelines, allowing users to freely express their creativity. NovelAI features advanced image generation, customizable editor, AI output control, secure writing storage, memory expansion, and module-powered tools to enhance storytelling. Users can engage in text adventures, push writing limits with enhanced detail, and give personalized instructions to guide their stories.
Lumina
Lumina is a research tool that uses artificial intelligence to help researchers find and analyze information more quickly and easily. It can be used to search for articles, books, and other resources, and it can also be used to analyze data and create visualizations. Lumina is designed to make research more efficient and productive.
Nichely
Nichely is an AI-powered SEO tool that helps users dominate their niche by leveraging cutting-edge AI technology to navigate and correlate millions of topics in various niches. It offers features such as topic discovery, topic research, and keyword research to empower users in building detailed topical maps and comprehensive topic clusters. With Nichely, users can uncover untapped content opportunities, find relevant long-tail keywords, and analyze SERPs. The tool is designed for content/niche website owners, entrepreneurs, bloggers, and anyone looking to enhance their topical authority and construct strong topical clusters and maps.
TestFit
TestFit is a real estate feasibility platform that uses AI to help developers, architects, contractors, and brokers evaluate deals and make better decisions. It provides real-time insights into design, cost, and constructability, and integrates with a variety of other software tools. TestFit can help users save time and money, and make more informed decisions about their real estate projects.
Animant
Animant is an interactive AR tool that allows users to create engaging 3D scenes, conduct 3D scanning, and capture rooms. It leverages AI to enable users to build interactive 3D scenes using natural language, without the need for 3D animation knowledge. Animant is designed for AR experiences, enabling users to visualize 3D models in their real-world environment. The tool offers features like Object Capture, Room Capture, SharePlay for collaboration, and innovative 3D path construction. It prioritizes user privacy by not collecting personally identifiable information and supports offline rendering for creative flexibility.
Siml.ai
Siml.ai is a software platform designed for fast AI-driven physics simulations. It combines state-of-the-art machine learning with physics simulation to provide interactive visualization. The platform allows users to work with high-performance AI-based numerical simulators without the need for installation, offering painless scalability and one-click access to high-performance computing resources. Siml.ai aims to democratize scientific-grade simulation tools by simplifying the development and deployment of physics-based simulations for engineers and researchers.
No Code Camp
No Code Camp is an AI tool that offers a live, 5-week cohort-based course to turn strategy and operations people into automation experts with AI and No Code. The platform enables non-technical individuals to build applications, automate workflows, and develop web platforms using graphical interfaces, AI, and tool configuration instead of writing code. No Code Camp democratizes software development, making it accessible to a broader audience, speeding up the development process, and reducing the reliance on specialized software development skills. The course covers essential topics such as Data Architecture, Interface Design, AI Scaling, and No Code Automation, equipping participants with the skills needed to automate business processes and build internal tools.
LangChain
LangChain is an AI tool that offers a suite of products supporting developers in the LLM application lifecycle. It provides a framework to construct LLM-powered apps easily, visibility into app performance, and a turnkey solution for serving APIs. LangChain enables developers to build context-aware, reasoning applications and future-proof their applications by incorporating vendor optionality. LangSmith, a part of LangChain, helps teams improve accuracy and performance, iterate faster, and ship new AI features efficiently. The tool is designed to drive operational efficiency, increase discovery & personalization, and deliver premium products that generate revenue.
Magic AI Avatars
Magic AI Avatars is an AI-powered tool that allows users to create custom profile pictures using artificial intelligence. The app analyzes uploaded photos, recognizes facial features and expressions, and then uses a deep learning algorithm to construct a realistic digital photo that closely resembles the person in the picture. Magic AI Avatars is free to use and offers a variety of different themes and styles to choose from. The app is also committed to maintaining user privacy and data security.
WebsiteColorsAI
WebsiteColorsAI is an AI tool that effortlessly captures colors from any website. By analyzing the HTML and CSS files of the provided website, it identifies all HEX color codes. Users can construct and evaluate diverse color schemes and palettes using the identified colors, transforming the aesthetic of their websites with this amazing and time-saving tool.
Pixable
Pixable is a technology company that specializes in transforming organizations through the intelligent implementation of technology. They create beautiful websites and apps, automate systems, and implement artificial intelligence to revolutionize the way organizations operate and drive their growth. Pixable offers end-to-end technology services, including web development, connected solutions, artificial intelligence, and technology consulting. They help organizations navigate the complex web development landscape and realize their technological goals by embedding AI into the digital core of organizations. Pixable constructs elegant solutions that solve complex technological challenges, adding value for clients worldwide.
Email To Contract
Email To Contract is an AI tool that transforms emails into contracts seamlessly. It simplifies the process of creating tailored contracts by analyzing email conversations and generating contracts based on predefined templates. The tool is designed to work with various types of contracts such as NDAs, influencer agreements, and freelancer contracts. Users can forward email threads to the designated email address and receive a customized contract in return. Email To Contract offers affordable pricing plans, unlimited credits, and modulable access to different contract types. The application is user-friendly, fast, and eliminates the hassle of manual contract creation.
ContractWorks
ContractWorks is a contract management software that helps businesses organize, track, and manage their contracts. It offers a centralized repository for storing contracts, automated alerts and notifications, custom reporting, and electronic signature capabilities. ContractWorks also uses AI to power its search and review機能, allowing users to quickly find any contract, clause, or key term. With ContractWorks, businesses can improve contract visibility, reduce risk, and save time and money.
SpotDraft
SpotDraft is an AI-powered contract management system that helps businesses of all sizes simplify, automate, and accelerate their legal processes. With SpotDraft, you can create contracts in minutes, close deals faster, and gain better control over your business's cash flow. SpotDraft is trusted by general counsel and legal teams at cutting-edge organizations such as Beamery, Chargebee, Zai, and PostScript.
Evisort
Evisort is an AI-powered contract management software that simplifies contract management at every stage. It offers a complete, AI-native platform for end-to-end contract lifecycle management, including the first large language model built specifically for contracts. Evisort's AI capabilities enable users to ask questions about their contracts in simple, natural language and get clear, reasoned answers. It can also track terms of interest across all contracts and related documents, and generate data points that matter for sales, procurement, risk, and finance teams. Additionally, Evisort's AI-powered workflows automate tasks such as redlining, clause generation, and contract approvals, saving time and reducing risk.
SpeedLegal
SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.
Diligen
Diligen is a machine learning powered contract analysis tool that helps teams streamline their contract review process. It can identify key provisions, generate contract summaries, and help teams manage review with machine learning powered analysis. Diligen is used by law firms, legal service providers, and corporations around the world to make high quality contract review faster, more efficient, and more cost effective.
Maigon
Maigon is a state-of-the-art AI application designed for contract review. It offers efficiency in closing deals fast by providing AI-driven tools for screening agreements, answering legal questions, and guiding the finalization of contracts in record time. Maigon integrates the latest deep learning technology and OpenAI's GPT-4 to ensure maximum accuracy and efficiency in compliance review. The platform supports various legal documents such as data processing agreements, privacy policies, non-disclosure agreements, consultancy agreements, product supply agreements, R&D agreements, and end user license agreements. Maigon's key features include quick start, using its own data for training, always up-to-date solutions, custom playbook integration, unmatched speed, on-premise availability, multilingual support, state-of-the-art technology, and trusted by industry leaders.
Pincites
Pincites is an AI contract review tool designed for busy legal teams. It offers AI-generated redlines and comments within Microsoft Word, helping in-house legal teams to review contracts faster and more consistently. Pincites allows users to scan agreements for potential issues, apply AI-generated redlines, and interactively chat with documents. The tool also provides playbook management, enabling users to control redlines suggested by the AI based on their preferences and existing guidance.
Zefort
Zefort is an AI-powered contract management solution that offers a zero-effort approach to managing contracts. It allows users to create, sign, and store contracts with ease, providing features like eSignatures, automated reminders, and secure storage. Zefort is designed to streamline contract processes for legal teams, procurement, HR teams, sales teams, and company administration. The platform integrates advanced AI technology to enhance contract management efficiency and accuracy, catering to organizations of all sizes. With bank-level security measures and a user-friendly interface, Zefort ensures a seamless contract management experience.
20 - Open Source AI Tools
bmf
BMF (Babit Multimedia Framework) is a cross-platform, multi-language, customizable multimedia processing framework developed by ByteDance. It offers native compatibility with Linux, Windows, and macOS, Python, Go, and C++ APIs, and high performance with strong GPU acceleration. BMF allows developers to enhance its features independently and provides efficient data conversion across popular frameworks and hardware devices. BMFLite is a client-side lightweight framework used in apps like Douyin/Xigua, serving over one billion users daily. BMF is widely used in video streaming, live transcoding, cloud editing, and mobile pre/post processing scenarios.
aiolauncher_scripts
AIO Launcher Scripts is a collection of Lua scripts that can be used with AIO Launcher to enhance its functionality. These scripts can be used to create widget scripts, search scripts, and side menu scripts. They provide various functions such as displaying text, buttons, progress bars, charts, and interacting with app widgets. The scripts can be used to customize the appearance and behavior of the launcher, add new features, and interact with external services.
uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
LLMs-World-Models-for-Planning
This repository provides a Python implementation of a method that leverages pre-trained large language models to construct and utilize world models for model-based task planning. It includes scripts to generate domain models using natural language descriptions, correct domain models based on feedback, and support plan generation for tasks in different domains. The code has been refactored for better readability and includes tools for validating PDDL syntax and handling corrective feedback.
mindnlp
MindNLP is an open-source NLP library based on MindSpore. It provides a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly. Key features of MindNLP include: * Comprehensive data processing: Several classical NLP datasets are packaged into a friendly module for easy use, such as Multi30k, SQuAD, CoNLL, etc. * Friendly NLP model toolset: MindNLP provides various configurable components. It is friendly to customize models using MindNLP. * Easy-to-use engine: MindNLP simplified complicated training process in MindSpore. It supports Trainer and Evaluator interfaces to train and evaluate models easily. MindNLP supports a wide range of NLP tasks, including: * Language modeling * Machine translation * Question answering * Sentiment analysis * Sequence labeling * Summarization MindNLP also supports industry-leading Large Language Models (LLMs), including Llama, GLM, RWKV, etc. For support related to large language models, including pre-training, fine-tuning, and inference demo examples, you can find them in the "llm" directory. To install MindNLP, you can either install it from Pypi, download the daily build wheel, or install it from source. The installation instructions are provided in the documentation. MindNLP is released under the Apache 2.0 license. If you find this project useful in your research, please consider citing the following paper: @misc{mindnlp2022, title={{MindNLP}: a MindSpore NLP library}, author={MindNLP Contributors}, howpublished = {\url{https://github.com/mindlab-ai/mindnlp}}, year={2022} }
flyte
Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.
js-route-optimization-app
A web application to explore the capabilities of Google Maps Platform Route Optimization (GMPRO) for solving vehicle routing problems. Users can interact with the GMPRO data model through forms, tables, and maps to construct scenarios, tune constraints, and visualize routes. The application is intended for exploration purposes only and should not be deployed in production. Users are responsible for billing related to cloud resources and API usage. It is important to understand the pricing models for Maps Platform and Route Optimization before using the application.
agentUniverse
agentUniverse is a framework for developing applications powered by multi-agent based on large language model. It provides essential components for building single agent and multi-agent collaboration mechanism for customizing collaboration patterns. Developers can easily construct multi-agent applications and share pattern practices from different fields. The framework includes pre-installed collaboration patterns like PEER and DOE for complex task breakdown and data-intensive tasks.
ChatLaw
ChatLaw is an open-source legal large language model tailored for Chinese legal scenarios. It aims to combine LLM and knowledge bases to provide solutions for legal scenarios. The models include ChatLaw-13B and ChatLaw-33B, trained on various legal texts to construct dialogue data. The project focuses on improving logical reasoning abilities and plans to train models with parameters exceeding 30B for better performance. The dataset consists of forum posts, news, legal texts, judicial interpretations, legal consultations, exam questions, and court judgments, cleaned and enhanced to create dialogue data. The tool is designed to assist in legal tasks requiring complex logical reasoning, with a focus on accuracy and reliability.
js-route-optimization-app
A web application to explore the capabilities of Google Maps Platform Route Optimization (GMPRO). It helps users understand the data model and functions of the API by presenting interactive forms, tables, and maps. The tool is intended for exploratory use only and should not be deployed in production. Users can construct scenarios, tune constraint parameters, and visualize routes before implementing their own solutions for integrating Route Optimization into their business processes. The application incurs charges related to cloud resources and API usage, and users should be cautious about generating high usage volumes, especially for large scenarios.
FlipAttack
FlipAttack is a jailbreak attack tool designed to exploit black-box Language Model Models (LLMs) by manipulating text inputs. It leverages insights into LLMs' autoregressive nature to construct noise on the left side of the input text, deceiving the model and enabling harmful behaviors. The tool offers four flipping modes to guide LLMs in denoising and executing malicious prompts effectively. FlipAttack is characterized by its universality, stealthiness, and simplicity, allowing users to compromise black-box LLMs with just one query. Experimental results demonstrate its high success rates against various LLMs, including GPT-4o and guardrail models.
PromptFuzz
**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.
mscclpp
MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.
CoachAI-Projects
This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.
ChatAFL
ChatAFL is a protocol fuzzer guided by large language models (LLMs) that extracts machine-readable grammar for protocol mutation, increases message diversity, and breaks coverage plateaus. It integrates with ProfuzzBench for stateful fuzzing of network protocols, providing smooth integration. The artifact includes modified versions of AFLNet and ProfuzzBench, source code for ChatAFL with proposed strategies, and scripts for setup, execution, analysis, and cleanup. Users can analyze data, construct plots, examine LLM-generated grammars, enriched seeds, and state-stall responses, and reproduce results with downsized experiments. Customization options include modifying fuzzers, tuning parameters, adding new subjects, troubleshooting, and working on GPT-4. Limitations include interaction with OpenAI's Large Language Models and a hard limit of 150,000 tokens per minute.
openspg
OpenSPG is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. It provides explicit semantic representations, logical rule definitions, operator frameworks (construction, inference), and other capabilities for domain knowledge graphs. OpenSPG supports pluggable adaptation of basic engines and algorithmic services by various vendors to build customized solutions.
jailbreak_llms
This is the official repository for the ACM CCS 2024 paper 'Do Anything Now': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. The project employs a new framework called JailbreakHub to conduct the first measurement study on jailbreak prompts in the wild, collecting 15,140 prompts from December 2022 to December 2023, including 1,405 jailbreak prompts. The dataset serves as the largest collection of in-the-wild jailbreak prompts. The repository contains examples of harmful language and is intended for research purposes only.
Graph-Reasoning-LLM
This repository, GraphWiz, focuses on developing an instruction-following Language Model (LLM) for solving graph problems. It includes GraphWiz LLMs with strong graph problem-solving abilities, GraphInstruct dataset with over 72.5k training samples across nine graph problem tasks, and models like GPT-4 and Mistral-7B for comparison. The project aims to map textual descriptions of graphs and structures to solve various graph problems explicitly in natural language.
spear
SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.
generative-ai-cdk-constructs
The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.
20 - OpenAI Gpts
Eco Construct Pro
Leading advisor in sustainable building materials and eco-efficiency, powered by OpenAI
MTG Deck Wizard
Hello! Welcome to the realm of the planeswalkers. I am here to help you construct an MTG deck to suit your every need! Just let me know what colors or types of decks you'd like to build, and I will do my best to help you on the journey!
HouseGPT
This GPT will take a user's data and use it to construct a fake TV scene. Start by providing it with your character's Patient Profile, Diagnostic Findings, and Lab Data
Argumentum
Stephen Toulmin’s Theory of Argumentation. FIRST TIME? Start with "Good morning!" PRIMEIRA VEZ? Comece com um "Bom dia!"
PsyItemGenerator
Generates items for psychometric instruments to measure psychological constructs.
USA Contract Law Master
Expert in answering Contract Law queries for small businesses in the USA
Contract Negotiation Advisor
Facilitates efficient business operations through effective contract negotiations.
Contract Administration Advisor
Advises on contract administration to optimize procurement processes.
Contract Digitizer
Transforms regular contracts into digitized smart contracts. Response will include a diagram of the contract workflow as well as a link to easily auditable smart-contract source code ready for deployment.