Best AI tools for< Prepare Reports >

GIPY is an intelligent assistant that allows you to use ChatGPT on any Windows application. With GIPY, you can easily write emails, take notes, prepare reports and presentations, and even program software. To use GIPY, simply type >>> in any Windows application and start typing your prompt. GIPY will then use ChatGPT to generate text and code for you.

The website offers an AI-powered tool that allows users to easily convert images into fully editable PowerPoint slides. By leveraging the capabilities of GPT-4o, the tool eliminates the need for manual data copying, saving users valuable time and effort. With a user-friendly interface and high-quality output, users can quickly create professional presentations without the hassle of traditional methods.

The FileAI website offers an AI-powered file reading assistant that specializes in data extraction from structured documents like financial statements, legal documents, and research papers. It automates tasks related to legal and compliance review, finance and accounting report preparation, and research and academia support. The tool aims to streamline document processing, enhance learning processes, and improve research efficiency. With features like summarizing complex texts, extracting key information, and detecting plagiarism, FileAI caters to users in various industries and educational fields. The platform prioritizes data security and user privacy, ensuring that data is used solely for its intended purpose and deleted after 7 days of non-use.

GetFlashInsights is a website that provides valuable insights and analytics for businesses and individuals. It offers a range of tools and features to help users analyze data, track performance, and make informed decisions. With a user-friendly interface and powerful capabilities, GetFlashInsights is a go-to platform for data-driven decision-making.

Akkio is an AI data platform designed specifically for agencies and their clients. It offers a range of features to help agencies improve performance, including data preparation, predictive analytics, and reporting. Akkio is easy to use, with a drag-and-drop interface and no coding required. It also integrates with a variety of data sources, making it easy to get started.

Skillflow is an AI platform built for learning. Unlike ChatGPT, Skillflow only requires a single prompt to start exploring a topic. Additionally, Skillflow is structured like a video game to make the whole process a lot more fun! Skillflow uses the most advanced models to generate course content, games, lesson personalization and more. Read the content and pass the tests to continue into the next module.

Storialab is an AI-powered research tool that helps you find and analyze information from academic papers, news articles, and other sources. With Storialab, you can quickly and easily find the information you need to support your research or writing.

IKI AI is an intelligent knowledge interface that provides users with quick and easy access to information from a variety of sources. It uses natural language processing and machine learning to understand user queries and deliver relevant results. IKI AI can be used for a variety of tasks, including research, learning, and decision-making.

timeOS is an AI productivity companion that captures and summarizes your day, organizes all relevant information within the right tool, and proactively surfaces the knowledge you need, when you need it. It leverages AI to bypass non-essential meetings, provides detailed reports of missed events, and offers automatic notes without a bot. The platform seamlessly integrates actionable insights into your workflow, syncs with various tools, and offers multilingual support for clear communication. With a security-first approach, timeOS ensures user-controlled data privacy and encrypted storage of meeting summaries.

Saasguru is a comprehensive Salesforce skilling and certification platform that empowers individuals to launch or advance their Salesforce careers. It offers a wide range of learning resources, including live classes, mock exams, projects, and personalized mentorship, to help learners develop a strong foundation in Salesforce and prepare for certification exams. Saasguru also provides job readiness support, connecting learners with potential employers and providing interview preparation assistance.

The Princeton Review is an AI-based test preparation and tutoring platform offering personalized academic support, test prep courses, and college admissions counseling. With over 43 years of industry experience and a track record of helping millions of students, The Princeton Review uses sophisticated AI technology to provide students with tailored learning experiences, expert-led videos, interactive reports, and feedback tools for essays and homework. The platform covers a wide range of subjects and exams, from K-12 academics to graduate and professional tests like SAT, ACT, MCAT, LSAT, GRE, GMAT, and more. Additionally, it offers services for college admissions counseling, school partnerships, and international licensing.

APEUni is an AI-powered platform designed to help users practice for the Pearson Test of English (PTE) exam. It offers various AI scoring features for different sections of the PTE exam, such as Speaking, Writing, Reading, and Listening. Users can access practice materials, study guides, and receive detailed score reports to improve their performance. APEUni aims to provide a comprehensive and efficient way for PTE test takers to prepare for the exam.

FuturistU is an AI-powered masterclass platform that offers a vast database of ideas and innovations, trend reports, consumer insights, and customized services to accelerate innovation and ignite disruptive thinking. With over 20 million people benefiting from their New York Times Bestselling books and keynote videos, FuturistU aims to prepare individuals and organizations for the future by providing cutting-edge tools, frameworks, and training programs. Their AI-powered Trend Reports and exclusive PRO research help brands stay ahead of the curve by uncovering major shifts and emerging opportunities in the market.

WhiteBridge is an AI-powered online reputation management tool that helps individuals and businesses transform scattered online data into a coherent narrative of their digital identity. By finding, verifying, and structuring information about someone into insightful reports, WhiteBridge enables users to safeguard their reputation, understand prospects, prepare for pitches, hire wisely, and verify authenticity. The tool offers real-time validation, background analysis, and access to over 100 public data APIs to provide unmatched quality of information. WhiteBridge is designed for recruiters, sales reps, business owners, and privacy-conscious individuals to streamline background checks, build better connections, verify information, and safeguard personal data.

Spark is an AI tool designed specifically for accounting and business workflows. It allows users to create and chat with role-based assistants to get relevant answers to their accounting-related questions. Spark also enables users to add their own specific content for the AI to use, creating hyper-personalized responses. With Spark, accounting firms can boost their efficiency and scale their business.

Canopy is an all-in-one practice management software for accounting and tax firms. It helps firms manage their clients, documents, workflow, time and billing, and more. Canopy is designed to help firms work more efficiently and effectively, so they can focus on providing better client experiences.

Receiptor AI is an automated tool that extracts and categorizes receipts and invoices from emails, saving users time and effort in manual organization. It seamlessly integrates with various email accounts, offers real-time expense analytics, and supports multi-language extraction. The tool provides comprehensive information extraction, retroactive email analysis, and intelligent contextual categorization. Receiptor AI is designed to streamline accounting processes and enhance financial tracking for individuals and businesses.

Booke AI is an AI-driven bookkeeping software that automates tasks, reduces errors, and improves communication. It uses AI to categorize transactions, extract data from invoices and receipts, and provide expert reconciliation assistance. Booke AI integrates with Xero, QuickBooks, and Zoho Books, and offers a user-friendly client portal for seamless collaboration. With Booke AI, businesses can save time, reduce stress, and improve the accuracy of their bookkeeping.

DiscoveryAi is an AI-powered research assistant that helps you find and organize the information you need to make better decisions. With DiscoveryAi, you can quickly and easily search through a vast database of articles, news, and other content to find the information you need. You can also use DiscoveryAi to organize your research into folders and notes, and to collaborate with others on research projects.

Tellius is an AI Augmented Analytics Software and Decision Intelligence platform that empowers users to get faster insights from data, break silos between Business Intelligence (BI) and AI, and accelerate complex data analysis with AI-driven automation. The platform offers guided insights, data preparation, natural language search, automated machine learning, and self-service analytics & reporting. Tellius is loved by analytics and business teams for providing instant ad hoc answers, simplifying complex analysis, and surfacing hidden key drivers and anomalies through best-in-class automated insights.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

Nejumi Leaderboard 3 is a comprehensive evaluation platform for large language models, assessing general language capabilities and alignment aspects. The evaluation framework includes metrics for language processing, translation, summarization, information extraction, reasoning, mathematical reasoning, entity extraction, knowledge/question answering, English, semantic analysis, syntactic analysis, alignment, ethics/moral, toxicity, bias, truthfulness, and robustness. The repository provides an implementation guide for environment setup, dataset preparation, configuration, model configurations, and chat template creation. Users can run evaluation processes using specified configuration files and log results to the Weights & Biases project.

Eval-Scope is a framework for evaluating and improving large language models (LLMs). It provides a set of commonly used test datasets, metrics, and a unified model interface for generating and evaluating LLM responses. Eval-Scope also includes an automatic evaluator that can score objective questions and use expert models to evaluate complex tasks. Additionally, it offers a visual report generator, an arena mode for comparing multiple models, and a variety of other features to support LLM evaluation and development.

llama_cpp.rb provides Ruby bindings for the llama.cpp, a library that allows you to use the Llama language model in your Ruby applications. Llama is a large language model that can be used for a variety of natural language processing tasks, such as text generation, translation, and question answering. This gem is still under development and may undergo many changes in the future.

LLMOps with Prompt flow is a template and guidance for building LLM-infused apps using Prompt flow. It provides centralized code hosting, lifecycle management, variant and hyperparameter experimentation, A/B deployment, many-to-many dataset/flow relationships, multiple deployment targets, comprehensive reporting, BYOF capabilities, configuration-based development, local prompt experimentation and evaluation, endpoint testing, and optional Human-in-loop validation. The tool is customizable to suit various application needs.

Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.

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.

Steel-LLM is a project to pre-train a large Chinese language model from scratch using over 1T of data to achieve a parameter size of around 1B, similar to TinyLlama. The project aims to share the entire process including data collection, data processing, pre-training framework selection, model design, and open-source all the code. The goal is to enable reproducibility of the work even with limited resources. The name 'Steel' is inspired by a band '万能青年旅店' and signifies the desire to create a strong model despite limited conditions. The project involves continuous data collection of various cultural elements, trivia, lyrics, niche literature, and personal secrets to train the LLM. The ultimate aim is to fill the model with diverse data and leave room for individual input, fostering collaboration among users.

AirDash is a file sharing tool that allows users to transfer photos and files securely between devices on different platforms. It offers maximum privacy and security by encrypting files and transferring them directly. Users can quickly start transfers using native mobile share sheet and drag and drop on desktop. The tool supports all major platforms and app stores, and automatically selects the best and fastest connection available. Key technologies include Flutter 3 for app development, WebRTC for file transfers, and Firebase services for signaling, config storage, and release automation. AirDash is free to use and suitable for sharing any number of files of any size.

Jan is an open-source ChatGPT alternative that runs 100% offline on your computer. It supports universal architectures, including Nvidia GPUs, Apple M-series, Apple Intel, Linux Debian, and Windows x64. Jan is currently in development, so expect breaking changes and bugs. It is lightweight and embeddable, and can be used on its own within your own projects.

Databend is an open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake. With its focus on fast query execution and data ingestion, it's designed for complex analysis of the world's largest datasets.

Clipboard Conqueror is a multi-platform omnipresent copilot alternative. Currently requiring a kobold united or openAI compatible back end, this software brings powerful LLM based tools to any text field, the universal copilot you deserve. It simply works anywhere. No need to sign in, no required key. Provided you are using local AI, CC is a data secure alternative integration provided you trust whatever backend you use. *Special thank you to the creators of KoboldAi, KoboldCPP, llamma, openAi, and the communities that made all this possible to figure out.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

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.

Uncheatable Eval is a tool designed to assess the language modeling capabilities of LLMs on real-time, newly generated data from the internet. It aims to provide a reliable evaluation method that is immune to data leaks and cannot be gamed. The tool supports the evaluation of Hugging Face AutoModelForCausalLM models and RWKV models by calculating the sum of negative log probabilities on new texts from various sources such as recent papers on arXiv, new projects on GitHub, news articles, and more. Uncheatable Eval ensures that the evaluation data is not included in the training sets of publicly released models, thus offering a fair assessment of the models' performance.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

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Attach transaction reports from exchanges to calculate capital gains. It will even generate a file you can upload to turbo tax.

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