Best AI tools for< Write Technical Reports >
20 - AI tool Sites
wisio
wisio is an AI-powered writing assistant that helps scientists write better scientific documents. It provides real-time feedback on grammar, style, and clarity, and it can also help you to generate new ideas and organize your thoughts. wisio is designed to make scientific writing faster, easier, and more effective.
ReportGPT
ReportGPT is an AI-powered writing assistant that helps users create high-quality documents efficiently. It offers a range of features, including AI-powered writing assistance, an intuitive user interface, customizable document structures, a versatile writing interface, and diverse export options. ReportGPT is suitable for a variety of writing tasks, including research papers, business plans, product reviews and comparisons, technical documentation, grant and proposal writing, and essays.
C&EN
C&EN, a publication of the American Chemical Society, provides the latest news and insights on the chemical industry, including research, technology, business, and policy. It covers a wide range of topics, including analytical chemistry, biological chemistry, business, careers, education, energy, environment, food, materials, people, pharmaceuticals, physical chemistry, policy, research integrity, safety, and synthesis.
Typewise
Typewise is an AI-powered communication assistant that helps customer service and sales teams save time, improve response and resolution times, and increase customer satisfaction. It offers features such as text prediction, auto-completion, auto-generated email and chat responses, autocorrect and grammar check, real-time translation, and a custom AI language model. Typewise integrates with popular CRM systems and is available as a SaaS or on-premises solution.
AutoPitch
AutoPitch is an AI-powered sales research assistant that helps you sell technical products. It learns your product, automates research reports, and helps you write prospect-specific pitches. With AutoPitch, you can save time on research and write better emails that are more likely to get opened and clicked. AutoPitch integrates with 6+ data sources, including your website, the SEC, and Crunchbase, to provide you with the most up-to-date information on your prospects. It also uses AI to analyze this data and identify key insights that can help you close more deals.
Bench
Bench is an AI tool designed to automate hardware documentation for Hardware Engineers. It helps users document less and create more by utilizing AI for documentation writing, management, and discoverability. The tool offers features such as adapting to specific use cases, AI documentation writing, single source of truth, data-rich asset pages, highlighting compliance gaps, automated reports, and physical asset logging. Bench is advantageous for increasing productivity, improving documentation accuracy, streamlining workflows, enhancing compliance, and enabling seamless integrations. However, it may have limitations in customization options, initial learning curve, and potential dependency on AI accuracy. The tool is suitable for Hardware Engineers, Technical Writers, Documentation Specialists, Compliance Officers, and Quality Assurance Engineers. Users can find Bench using keywords like AI documentation, hardware documentation automation, AI writing tool, documentation management tool, and asset logging AI. Tasks users can perform with Bench include automate documentation, manage assets, write AI documentation, generate reports, and log physical assets.
Narratize
Narratize is a generative AI storytelling platform designed for innovative enterprises to accelerate R&D, product innovation, and marketing solutions. It helps enterprise teams and individuals to distill scientific, technical, and medical insights into impactful content that scales. With Narratize, users can generate various types of content quickly without the need for prompt engineering, improving communication and collaboration within the organization.
MakeTheDocs
MakeTheDocs is an AI-powered documentation tool that allows users to create quality documentation quickly by simply uploading a video. The tool leverages AI technology to analyze and generate documentation in less than a minute, saving users time and effort. MakeTheDocs offers various pricing plans with different features such as token usage, video length, export options, and support levels. Users can customize their documentation pages by adding branding and setting goals. The tool ensures data privacy by not collecting user data without consent.
Elessar
Elessar is an AI-powered platform designed to enhance engineering productivity by providing automatic documentation, reporting, and visibility for development teams. It seamlessly integrates with existing ecosystems, connects codebases, communications, and documentation tools, and offers features like AI-generated pull request changelogs, Notion documentation, Slack bot integration, VS Code extension, and issue tracking. Elessar ensures data privacy and security by following SOC II compliant policies and infrastructures, and it does not use company data for training or storage.
DocsChat
DocsChat is an AI-powered document conversation tool that revolutionizes the way users interact with various types of documents. It leverages OCR-powered AI technology to streamline document interactions, making it easier to comprehend, exchange knowledge, troubleshoot, and navigate through different document types. With a focus on enhancing user experiences across reading, research, business, legal, and training domains, DocsChat offers a versatile platform for effortless and personalized document engagement.
VERSE
VERSE empowers you to seamlessly interact with PDFs, revolutionizing your workflow. With AI-powered responses, direct links to PDF pages, and a distraction-free interface, VERSE enhances your productivity and comprehension. Experience the future of PDF interaction today.
Spellmint
Spellmint is an AI-powered team planning tool that revolutionizes the way teams collaborate and plan. It offers cutting-edge planning tools for decision-making, product planning, marketing strategy, growth planning, design articulation, technical documentation, financial planning, legal planning, and HR processes. With Spellmint, users can streamline their planning processes, generate actionable insights, and create comprehensive plans with ease and efficiency.
Perfect Wiki
Perfect Wiki is an AI-powered help center application integrated into Microsoft Teams, designed to answer repetitive questions and provide AI-generated responses to colleagues and customers. It allows users to effortlessly convert company knowledge into a professional self-service help center. The application offers features such as adding SOPs, FAQs, manuals, and guides, AI chatbot responses, continuous knowledge base improvement, and weekly AI-generated reports. Perfect Wiki aims to streamline information sharing and collaboration within teams by providing instant answers within the Microsoft Teams environment.
ReportGPT
ReportGPT is an AI-powered writing assistant that helps users generate, review, and refine content. It offers a range of features designed to streamline the writing process, including AI-powered writing assistance, an intuitive user interface, customizable document structures, a versatile writing interface, and diverse export options. ReportGPT is suitable for a variety of writing tasks, including research papers, business plans, product reviews and comparisons, technical documentation, grant and proposal writing, and essays.
TechCrunch
TechCrunch is a leading technology media property, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.
SummaryGenerator.io
SummaryGenerator.io is an AI-powered text summarizer that uses advanced algorithms and natural language processing to analyze the content and identify main ideas to generate relevant summaries. It generates summaries of varying lengths for any type of content.
Elephas
Elephas is a personal AI writing assistant for Mac that helps users write faster and smarter. It works across all of your favorite Mac applications, including email, word processing, and social media. Elephas can help you with a variety of writing tasks, including generating ideas, outlining, writing, and editing. It also includes a number of features to help you improve your writing, such as grammar checking, spell checking, and style suggestions.
HyperWrite
HyperWrite is an AI writing assistant that helps users write, research, and collaborate. It offers a range of tools to help users generate ideas, polish their prose, and streamline their writing process. HyperWrite can also be used for communication, research, and academic writing. It is available as a Chrome extension and as a web app.
Write once. Tailor for every role.
This application allows you to write once and tailor your writing for every role. It is a powerful tool that can help you save time and improve the quality of your writing.
Codiga
Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.
20 - Open Source AI Tools
chatgpt-universe
ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher
evalscope
Eval-Scope is a framework designed to support the evaluation of large language models (LLMs) by providing pre-configured benchmark datasets, common evaluation metrics, model integration, automatic evaluation for objective questions, complex task evaluation using expert models, reports generation, visualization tools, and model inference performance evaluation. It is lightweight, easy to customize, supports new dataset integration, model hosting on ModelScope, deployment of locally hosted models, and rich evaluation metrics. Eval-Scope also supports various evaluation modes like single mode, pairwise-baseline mode, and pairwise (all) mode, making it suitable for assessing and improving LLMs.
InternLM-XComposer
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.
cognita
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.
WritingAIPaper
WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.
awesome-gpt-security
Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.
autolabel
Autolabel is a Python library designed to label, clean, and enrich text datasets using Large Language Models (LLMs). It provides a simple 3-step process for labeling data, supports various NLP tasks, and offers features like confidence estimation, explanations, and state management. Users can access Refuel hosted LLMs for labeling and confidence estimation, and the library supports commercial and open source LLMs from providers like OpenAI, Anthropic, HuggingFace, and Google. Autolabel aims to streamline the labeling process for machine learning tasks by leveraging state-of-the-art LLM techniques and minimizing costs and experimentation time.
easydiffusion
Easy Diffusion 3.0 is a user-friendly tool for installing and using Stable Diffusion on your computer. It offers hassle-free installation, clutter-free UI, task queue, intelligent model detection, live preview, image modifiers, multiple prompts file, saving generated images, UI themes, searchable models dropdown, and supports various image generation tasks like 'Text to Image', 'Image to Image', and 'InPainting'. The tool also provides advanced features such as custom models, merge models, custom VAE models, multi-GPU support, auto-updater, developer console, and more. It is designed for both new users and advanced users looking for powerful AI image generation capabilities.
AiTreasureBox
AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
instructor-php
Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.
awesome-mlops
Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.
WDoc
WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.
wdoc
wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words,Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
AeonLabs-AI-Volvo-MKII-Open-Hardware
This open hardware project aims to extend the life of Volvo P2 platform vehicles by updating them to current EU safety and emission standards. It involves designing and prototyping OEM hardware electronics that can replace existing electronics in these vehicles, using the existing wiring and without requiring reverse engineering or modifications. The project focuses on serviceability, maintenance, repairability, and personal ownership safety, and explores the advantages of using open solutions compared to conventional hardware electronics solutions.
20 - OpenAI Gpts
Energy Innovator
Advanced expert in wireless energy transmission, innovating with technical excellence and industry leadership, powered by OpenAI.
AI Cyberwar
AI and cyber warfare expert, advising on policy, conflict, and technical trends
Russian-English scientific translator
Concise and faithful translator of Russian to English scientific texts.
Tech Tutor
Formal yet witty guide in engineering, blending diverse fields with analogies for easier understanding.
Doc Maker
Prompt to create documents, such as design docs, reports, proposals, resumes, and more. Export to PDF, DOCX, PPTX, XLSX, CSV.
Expert en Rapports
Je suis un rédacteur de rapport d'expérience, fournissant des plans clairs et un style concis.
Master Researcher 150
A Master Researcher with vast experience in science and technology analysis.
Topic Explorer
Expert in breaking down a topic into subtopics, and providing in-depth analysis on the subtopics.
PósEngenhariaDeMateriaisEMetalúrgicaBR
Especialista em Engenharia de Materiais e Metalúrgica
Mechanical Machine
Assistive mechanical, math, and design expert. Copyright (C) 2024, Sourceduty - All Rights Reserved.
Specialized Scientific Translator
Translation of scientific publications in several languages in the field of generative AI, Machine Learning, and Deep Learning.
Academic Health Science Writing Transformer
Transforms academic writing to an interdisciplinary health sciences writing style, with clarity and interdisciplinary focus.