Best AI tools for< Structure Arguments >

The Topic Sentence Generator is an AI tool that helps users generate topic sentences for various types of essays and writing. It uses artificial intelligence to analyze input keywords and quickly generate topic sentences that capture the essence of a paragraph. The tool provides guidance on writing effective topic sentences, including different forms and tips for crafting them. Whether for argumentative, expository, narrative, or practical writing, the Topic Sentence Generator assists users in creating clear and concise topic sentences to enhance the coherence and clarity of their writing.

Lavo Life Sciences is an AI-accelerated crystal structure prediction application that aims to accelerate drug development by providing accurate crystal structure predictions for small molecule drugs. The application helps in de-risking pipelines, optimizing solid-state formulations, and avoiding late-stage surprises through cutting-edge AI technology. Lavo Life Sciences combines expertise in AI and computational chemistry to offer fast and efficient solutions for drug development teams, enabling them to discover novel polymorphs and make informed decisions to enhance drug development processes.

Structurepedia is an AI-powered platform that maps the structure of knowledge by providing structured and interactive information on various topics, including neural network architecture variants and other important concepts in machine learning and artificial intelligence. It offers a new way to learn by allowing users to explore topics through visual diagrams and detailed resources, making it easier to understand complex information. Structurepedia aims to revolutionize the way people access and comprehend knowledge in the age of AI, acting as a modern encyclopedia and search engine tailored for the AI era.

moyoNote is an AI-powered tool designed for organizing, managing, and structuring information into a comprehensive knowledge base. It offers features such as generating mind maps from text or files, interactive Q&A for maps, and customization options for personal expression. Users can easily share mind maps with others and control access permissions. The tool aims to simplify workflow, improve work efficiency, and enhance collaboration among users.

BizPlanner AI is a professional AI Business Plan Generator & Writer that allows users to create customized, professional business plans in minutes. The AI editor streamlines the process, enabling users to focus on their business goals. With features like in-browser editing, AI section generator, and convenient export options, BizPlanner AI offers a comprehensive solution for business planning.

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.

Chat GPT Demo is a free-to-use online tool that allows users to interact with a powerful AI language model developed by OpenAI. This advanced tool is designed to generate human-like text, engage in conversations, answer questions, and assist with a wide range of writing tasks. With its user-friendly interface and advanced capabilities, Chat GPT Demo empowers users to explore the possibilities of AI and enhance their productivity. The tool is particularly valuable for individuals seeking assistance with content creation, research, and communication.

StoryLegend is an AI-powered story writing dashboard that helps writers create compelling stories by providing tools for character development, plot analysis, and real-time writing assistance. The platform offers features such as AI writing assistant, story structure guide, quick draft generation, writing analysis, and character development. Writers can easily collaborate, track progress, and unleash their creativity with the help of AI technology. StoryLegend aims to streamline the writing process and enhance storytelling capabilities for authors and content creators.

Octopus.do is a lightning-fast visual sitemap builder and website planner that offers a seamless experience for website architecture planning. With the help of AI technology, users can easily generate colorful visual sitemaps and low-fidelity wireframes to visualize website content and layout. The platform allows users to prepare, manage, and collaborate on website content and SEO, making website planning fast, easy, and enjoyable. Octopus.do also provides a variety of sitemap templates for different types of websites, along with features for real-time collaboration, onsite SEO improvement, and integration with Figma designs.

SelfLearner is an AI-powered learning platform that provides personalized learning experiences for students of all ages. The platform uses artificial intelligence to track student progress, identify areas where they need additional support, and provide them with tailored learning materials. SelfLearner also offers a variety of interactive learning activities, such as games, simulations, and quizzes, to help students learn in a fun and engaging way.

Talknotes is the #1 AI voice note app that transforms messy thoughts into actionable notes. Users can record voice notes and let the AI transcribe, clean up, and structure them. The app supports multiple languages and offers various styles for transcribing voice notes into different formats like blog posts, task lists, and more. With Talknotes, users can effortlessly brainstorm, create content, journal, transcribe interviews, and improve meeting efficiency. The application is trusted by over 10,000 happy users and offers both monthly and yearly pricing plans with secure payment options.

Plume AI is a writing assistant that helps you write better, faster, and more efficiently. It uses artificial intelligence to analyze your writing and provide suggestions for improvement. Plume AI can help you with a variety of writing tasks, including emails, social media posts, blog posts, and even creative writing.

AI Screenwriter is an AI-powered screenwriting tool designed to help users write film scripts, story outlines, and character sheets. It offers advanced technology to assist with brainstorming, structuring, and writing stories, providing valuable insights and suggestions from the AI. The tool supports multiple languages and is backed by industry experts to enhance the screenwriting process. With real-time output features and responsive human support, AI Screenwriter aims to supercharge creativity and streamline the screenwriting process for users.

WebDB is an open-source and efficient Database IDE that focuses on providing a secure and user-friendly platform for database management. It offers features such as automatic DBMS discovery, credential guessing, time machine for database version control, powerful queries editor with autocomplete and documentation, AI assistant integration, NoSQL structure management, intelligent data generation, and more. With a modern ERD view and support for various databases, WebDB aims to simplify database management tasks and enhance productivity for users.

Talknotes is the #1 AI voice note app that allows users to easily convert their voice notes into actionable and structured content. Users can record their thoughts and ideas, and let the AI transcribe, clean up, and organize the content for them. The application supports multiple languages and offers various styles for transforming voice notes into different types of content, such as blog posts, task lists, and journal entries. With Talknotes, users can streamline their note-taking process and enhance productivity in various tasks, from brainstorming to content creation.

Scout is an AI-powered platform that focuses on community-centered recruiting. It connects professionals with job opportunities and helps companies find the right talent faster. With over 5 million visitors and 10,000+ recruiters on the platform, Scout offers customized solutions, bias-free AI processes, and support teams to optimize the hiring process. The platform leverages AI, data-driven insights, and adaptive systems to ensure better fits and faster discovery of talent. Scout is trusted by thousands of organizations for its innovative approach to recruiting.

The ZAI is an AI application that offers a platform for generating code files and app structures with the help of artificial intelligence. It provides features such as app structure generation, multi-platform support, code optimization, and rapid prototyping. Users can quickly create functional app prototypes for testing and iteration. The application aims to enhance productivity and streamline the app development process by leveraging AI technology.

GoProfiles is an AI People Platform designed for employee engagement and recognition. It offers features such as employee profiles, peer recognition, rewards, org chart visualization, dynamic people data search, and an AI assistant for company questions and connections. The platform aims to foster a connected and engaged culture within organizations by providing tools for meaningful coworker interactions and employee insights.

DebateAI.org is an AI-powered platform designed to facilitate online debates on various topics. Users can engage in structured debates with other participants, leveraging the AI technology to enhance the experience. The platform offers a user-friendly interface for creating and joining debates, along with features like topic randomization and donation options. DebateAI.org aims to provide a dynamic and interactive space for individuals to hone their debating skills and engage in intellectual discussions.

SiteExplainer is an AI-powered web application that helps users understand the purpose of any website quickly and accurately. It uses advanced artificial intelligence and machine learning technology to analyze the content of a website and present a summary of the main ideas and key points. SiteExplainer simplifies the language used on landing pages and eliminates corporate jargon to help visitors better understand a website's content.

STaRK is a large-scale semi-structure retrieval benchmark on Textual and Relational Knowledge Bases. It provides natural-sounding and practical queries crafted to incorporate rich relational information and complex textual properties, closely mirroring real-life scenarios. The benchmark aims to assess how effectively large language models can handle the interplay between textual and relational requirements in queries, using three diverse knowledge bases constructed from public sources.

llm-finetuning is a repository that provides a serverless twist to the popular axolotl fine-tuning library using Modal's serverless infrastructure. It allows users to quickly fine-tune any LLM model with state-of-the-art optimizations like Deepspeed ZeRO, LoRA adapters, Flash attention, and Gradient checkpointing. The repository simplifies the fine-tuning process by not exposing all CLI arguments, instead allowing users to specify options in a config file. It supports efficient training and scaling across multiple GPUs, making it suitable for production-ready fine-tuning jobs.

ComfyUI-BlenderAI-node is an addon for Blender that allows users to convert ComfyUI nodes into Blender nodes seamlessly. It offers features such as converting nodes, editing launch arguments, drawing masks with Grease pencil, and more. Users can queue batch processing, use node tree presets, and model preview images. The addon enables users to input or replace 3D models in Blender and output controlnet images using composite. It provides a workflow showcase with presets for camera input, AI-generated mesh import, composite depth channel, character bone editing, and more.

ZipPy is a research repository focused on fast AI detection using compression techniques. It aims to provide a faster approximation for AI detection that is embeddable and scalable. The tool uses LZMA and zlib compression ratios to indirectly measure the perplexity of a text, allowing for the detection of low-perplexity text. By seeding a compression stream with AI-generated text and comparing the compression ratio of the seed data with the sample appended, ZipPy can identify similarities in word choice and structure to classify text as AI or human-generated.

horde-engine is a wrapper around ComfyUI designed to run inference pipelines visually designed in the ComfyUI GUI. It enables users to design inference pipelines in ComfyUI and then call them programmatically, maintaining compatibility with the existing horde implementation. The library provides features for processing Horde payloads, initializing the library, downloading and validating models, and generating images based on input data. It also includes custom nodes for preprocessing and tasks such as face restoration and QR code generation. The project depends on various open source projects and bundles some dependencies within the library itself. Users can design ComfyUI pipelines, convert them to the backend format, and run them using the run_image_pipeline() method in hordelib.comfy.Comfy(). The project is actively developed and tested using git, tox, and a specific model directory structure.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.

GPTMe is a tool that allows users to interact with an LLM assistant directly in their terminal in a chat-style interface. The tool provides features for the assistant to run shell commands, execute code, read/write files, and more, making it suitable for various development and terminal-based tasks. It serves as a local alternative to ChatGPT's 'Code Interpreter,' offering flexibility and privacy when using a local model. GPTMe supports code execution, file manipulation, context passing, self-correction, and works with various AI models like GPT-4. It also includes a GitHub Bot for requesting changes and operates entirely in GitHub Actions. In progress features include handling long contexts intelligently, a web UI and API for conversations, web and desktop vision, and a tree-based conversation structure.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

LEADS is a lightweight embedded assisted driving system designed to simplify the development of instrumentation, control, and analysis systems for racing cars. It is written in Python and C/C++ with impressive performance. The system is customizable and provides abstract layers for component rearrangement. It supports hardware components like Raspberry Pi and Arduino, and can adapt to various hardware types. LEADS offers a modular structure with a focus on flexibility and lightweight design. It includes robust safety features, modern GUI design with dark mode support, high performance on different platforms, and powerful ESC systems for traction control and braking. The system also supports real-time data sharing, live video streaming, and AI-enhanced data analysis for driver training. LEADS VeC Remote Analyst enables transparency between the driver and pit crew, allowing real-time data sharing and analysis. The system is designed to be user-friendly, adaptable, and efficient for racing car development.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

This repository implements a speech-to-speech cascaded pipeline with consecutive parts including Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LM), and Text to Speech (TTS). It aims to provide a fully open and modular approach by leveraging models available on the Transformers library via the Hugging Face hub. The code is designed for easy modification, with each component implemented as a class. Users can run the pipeline either on a server/client approach or locally, with detailed setup and usage instructions provided in the readme.

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.

LongRecipe is a tool designed for efficient long context generalization in large language models. It provides a recipe for extending the context window of language models while maintaining their original capabilities. The tool includes data preprocessing steps, model training stages, and a process for merging fine-tuned models to enhance foundational capabilities. Users can follow the provided commands and scripts to preprocess data, train models in multiple stages, and merge models effectively.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

AIMNet2 Calculator is a package that integrates the AIMNet2 neural network potential into simulation workflows, providing fast and reliable energy, force, and property calculations for molecules with diverse elements. It excels at modeling various systems, offers flexible interfaces for popular simulation packages, and supports long-range interactions using DSF or Ewald summation Coulomb models. The tool is designed for accurate and versatile molecular simulations, suitable for large molecules and periodic calculations.

This repository contains an unofficial implementation of the xLSTM model introduced in Beck et al. (2024). It serves as a didactic tool to explain the details of a modern Long-Short Term Memory model with competitive performance against Transformers or State-Space models. The repository also includes a Lightning-based implementation of a basic LLM for multi-GPU training. It provides modules for scalar-LSTM and matrix-LSTM, as well as an xLSTM LLM built using Pytorch Lightning for easy training on multi-GPUs.

Learn to write impeccable essays with APA standards. Use natural language processing techniques, structure your arguments, and master APA format. Improve your writing professionally

Automatically structure and decode academic papers with ease - simply upload a PDF!

Stephen Toulmin’s Theory of Argumentation. FIRST TIME? Start with "Good morning!" PRIMEIRA VEZ? Comece com um "Bom dia!"

Your academic rebuttal assistant, blending precision and approachability.

A supportive assistant for refining academic essay content with expert guidance.

Expert in architectural and structural design principles.

Rough day at work? Stressed out? Or just want to see some funny memes? I got you! Type "help" for More Information

Irritating Northern advisor on UK building regs for structure. Based on Oliver Rigg and Approved Document A

Guides data structure design with tailored, step-by-step insights.

Gives structure to messy GitHub issues.

I assist in creating blog structure based on your niche

Clean and structure your raw data with automatic file output for your Custom GPT knowledge.

Guides organizational structure optimization for efficiency and productivity.

Helps summarize and structure academic writing ideas.

I create absurd stories with distinct structure and generate related images.

Expert in answering Business Formation and Structure Legal queries for small businesses in the USA (Powered by LegalNow, ai.legalnow.xyz)

Expert data analyst with a focus on diabetes data structure analysis.

Guiding novelists from idea to final draft with motivation and structure.

Expert on DAOs, offering insights and guidance on structure and governance.

Mino, a witty host with a detailed prize structure: up to $1 billion!