Best AI tools for< Calculate Deductions >

FlyFin is the world's #1 A.I. and CPA tax filing service designed for freelancers, self-employed individuals, business owners, and 1099 & W-2 workers. The platform leverages artificial intelligence to identify every possible tax deduction, making tax filing faster, cheaper, and more accurate. With a dedicated team of CPAs, FlyFin ensures precise tax preparation and maximum refunds for its users. The service covers federal and state taxes for various entities, offers full audit insurance, and guarantees a 100% money-back refund policy. FlyFin is a secure and efficient solution for individuals looking to streamline their tax filing process.

Taxly.ai is an advanced AI-powered tax application designed to streamline tax filing for individuals, freelancers, and self-employed professionals in Australia. The application offers automated estimations, expert CPA support, and real-time expense tracking to ensure accurate deductions and compliance with ATO guidelines. With a user-friendly interface and intuitive features, Taxly.ai simplifies tax management and maximizes tax savings for users.

GPT Calculator is a free tool that helps you calculate the token count and cost of your GPT prompts. You can also use the API to integrate the calculator into your own applications. GPT Calculator is a valuable tool for anyone who uses GPT-3 or other large language models.

The LLM Token Counter is a sophisticated tool designed to help users effectively manage token limits for various Language Models (LLMs) like GPT-3.5, GPT-4, Claude-3, Llama-3, and more. It utilizes Transformers.js, a JavaScript implementation of the Hugging Face Transformers library, to calculate token counts client-side. The tool ensures data privacy by not transmitting prompts to external servers.

Token Counter is an AI tool designed to convert text input into tokens for various AI models. It helps users accurately determine the token count and associated costs when working with AI models. By providing insights into tokenization strategies and cost structures, Token Counter streamlines the process of utilizing advanced technologies.

Blue Dot is a leading AI tax compliance platform that offers solutions for global tax management and VAT recovery. The platform provides a comprehensive view of employee-driven transactions, ensuring tax compliance and reducing vulnerabilities. Blue Dot's technology leverages AI and ML to optimize VAT outcomes and automate the review process for taxable employee benefits. The platform is fully integrated with expense management systems, helping organizations streamline compliance efforts and improve data integrity.

UpCodes is a searchable platform designed for architects, engineers, and construction professionals to easily access building codes, assemblies, and building products. It provides a user-friendly interface for quick and efficient navigation through complex regulations and standards, streamlining the design and construction process. With UpCodes, users can search, compare, and analyze building codes and products, ensuring compliance and quality in their projects.

FoodIntake is an AI-powered food tracking app that helps users make healthier food choices. It features a large database of branded foods, AI food analysis, and personalized nutrition recommendations. The app is easy to use and provides users with a comprehensive view of their diet, including calorie and nutrient intake, macronutrient distribution, and food processing levels.

TheToolBus.ai is an AI-powered platform offering a wide range of free digital tools to streamline various tasks. From age calculation to file conversion, image editing, text formatting, and more, users can access a diverse set of tools to enhance productivity and efficiency in their daily digital activities. The platform also features AI-generated content creation tools, such as cover letter generator, quiz generator, and text-to-emoji converter, catering to different user needs. With regular updates and a community-driven approach, TheToolBus.ai aims to provide users with innovative solutions to simplify their digital workflows.

The website offers a free AI Excel Formula Generator tool that converts text instructions into formulas or explains input formulas. It also provides other AI-powered data analysis tools like sentiment analysis, PDF to Excel converter, SQL query generator, and more. The AI-driven tools aim to simplify Excel tasks, automate formula creation, and help beginners utilize Excel's functionalities efficiently and accurately.

Deferred.com is a free AI tool designed to assist users with 1031 exchanges, a tax-deferral strategy in real estate investment. The platform offers a range of resources, including an exchange calculator, expert answers, and matching with 1031 professionals. Users can optimize tax savings, find the right intermediary, and access essential reading materials on tax deferral and exchange rules. With a focus on simplifying the complex process of 1031 exchanges, Deferred.com aims to empower real estate investors to make informed decisions and maximize their financial benefits.

SvahaMe.ai is an AI-powered platform that offers Vedic Astrology services, providing interpretations based on the positions of planets during one's birth. It aims to make Vedic Astrology easily understandable and accessible, utilizing artificial intelligence to analyze over 20 Vedic charts for a comprehensive astrological profile. The platform also features an auspicious name generator and tools to explore celestial energies and cosmic identities. SvahaMe.ai emphasizes privacy and ethical standards, ensuring user data confidentiality.

MathGPT is an AI math solver and calculator that provides users with the ability to solve various mathematical problems, including calculations, derivatives, and integrations. It also offers a question notebook feature and AI tutoring capabilities. Users can input mathematical expressions and equations, and MathGPT will provide step-by-step solutions and answers. The tool supports a wide range of mathematical functions and constants, making it a versatile and efficient tool for students, educators, and anyone needing assistance with math problems.

Peak is a game-changing AI platform designed to optimize product inventory and pricing for businesses of all sizes. It offers unique AI solutions tailored to each business, transforming decision-making processes and driving competitive advantage. With a focus on inventory intelligence, pricing intelligence, and AI performance guarantee, Peak aims to accelerate growth, widen margins, and increase profits for its users.

TimeComplexity.ai is an AI tool that helps users analyze the runtime complexity of their code. It works seamlessly across different programming languages without the need for headers, imports, or a main statement. Users can simply input their code and get insights into its performance. However, it is important to note that the results provided by TimeComplexity.ai may not always be accurate, so users are advised to use the tool at their own risk.

AI Teller is an online AI fortune-telling website that provides intelligent services based on ChatGPT technology. It supports AI fortune teller, AI Vedic astrology calculator, and AI Chinese BAZI calculator. AI Teller utilizes AI technology to provide creative calculation results and allows users to engage in a magical AI conversation. It is a one-stop calculation platform that provides comprehensive services, including fortune telling, destiny calculation, Vedic astrology, and divination calculations.

UNA is an AI-powered platform revolutionizing the immigration process. It offers comprehensive insights on Canadian immigration programs such as entrepreneur, study, investment, skilled worker, provincial nomination, refugee, family reunification, and self-employment. UNA tailors suitable immigration paths for users and provides real-time interpretation of the latest immigration policies.

MyLoans.ai is an AI-powered consumer advocate tool designed to assist graduate students in navigating their student loan repayment journey with confidence. The platform offers a free loan repayment calculator tailored specifically for current and former graduate students, providing simple and accurate answers to help users manage their student loans effectively.

CSV-GPT is an AI tool that allows users to analyze CSV files instantly using the powerful GPT4 model. It provides a user-friendly interface for a wide range of data analysis tasks, from calculating averages to finding correlations. The tool is designed to streamline the data analysis process and provide accurate insights quickly and efficiently. With CSV-GPT, users can make informed decisions based on data-driven analysis without the need for complex coding or manual calculations.

Chinese Feng Shui online calculation tool combined with AI intelligent analysis to accurately predict Chinese Feng Shui energy and optimize living or business environments, enhancing fortune and well-being.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Black Marlin is a UCI compliant chess engine fully written in Rust by Doruk Sekercioglu. It supports Chess960 and features a variety of search algorithms, pruning techniques, and evaluation methods. Black Marlin is designed to be efficient and accurate, and it has been shown to perform well against other top chess engines.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

Tokencost is a clientside tool for calculating the USD cost of using major Large Language Model (LLMs) APIs by estimating the cost of prompts and completions. It helps track the latest price changes of major LLM providers, accurately count prompt tokens before sending OpenAI requests, and easily integrate to get the cost of a prompt or completion with a single function. Users can calculate prompt and completion costs using OpenAI requests, count tokens in prompts formatted as message lists or string prompts, and refer to a cost table with updated prices for various LLM models. The tool also supports callback handlers for LLM wrapper/framework libraries like LlamaIndex and Langchain.

pgvecto.rs is a Postgres extension written in Rust that provides vector similarity search functions. It offers ultra-low-latency, high-precision vector search capabilities, including sparse vector search and full-text search. With complete SQL support, async indexing, and easy data management, it simplifies data handling. The extension supports various data types like FP16/INT8, binary vectors, and Matryoshka embeddings. It ensures system performance with production-ready features, high availability, and resource efficiency. Security and permissions are managed through easy access control. The tool allows users to create tables with vector columns, insert vector data, and calculate distances between vectors using different operators. It also supports half-precision floating-point numbers for better performance and memory usage optimization.

LangSim is a tool developed to address the challenge of using simulation tools in computational chemistry and materials science, which typically require cryptic input files or programming experience. The tool provides a Large Language Model (LLM) extension with agents to couple the LLM to scientific simulation codes and calculate physical properties from a natural language interface. It aims to simplify the process of interacting with simulation tools by enabling users to query the large language model directly from a Python environment or a web-based interface.

abliterator.py is a simple Python library/structure designed to ablate features in large language models (LLMs) supported by TransformerLens. It provides capabilities to enter temporary contexts, cache activations with N samples, calculate refusal directions, and includes tokenizer utilities. The library aims to streamline the process of experimenting with ablation direction turns by encapsulating useful logic and minimizing code complexity. While currently basic and lacking comprehensive documentation, the library serves well for personal workflows and aims to expand beyond feature ablation to augmentation and additional features over time with community support.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

Microchain is a function calling-based LLM agents tool with no bloat. It allows users to define LLM and templates, use various functions like Sum and Product, and create LLM agents for specific tasks. The tool provides a simple and efficient way to interact with OpenAI models and create conversational agents for various applications.

SheetCopilot is an assistant agent that manipulates spreadsheets by following user commands. It leverages Large Language Models (LLMs) to interact with spreadsheets like a human expert, enabling non-expert users to complete tasks on complex software such as Google Sheets and Excel via a language interface. The tool observes spreadsheet states, polishes generated solutions based on external action documents and error feedback, and aims to improve success rate and efficiency. SheetCopilot offers a dataset with diverse task categories and operations, supporting operations like entry & manipulation, management, formatting, charts, and pivot tables. Users can interact with SheetCopilot in Excel or Google Sheets, executing tasks like calculating revenue, creating pivot tables, and plotting charts. The tool's evaluation includes performance comparisons with leading LLMs and VBA-based methods on specific datasets, showcasing its capabilities in controlling various aspects of a spreadsheet.

This repository contains the official implementation of the code for the paper 'Your Transformer is Secretly Linear'. It provides functions for calculating anisotropy score, intrinsic dimension, linearity score, and centered linearity score based on pseudo-random features. Additionally, a pip package is available for easy installation. Users can also download the dataset used in the paper for further analysis.

Instruct NER is a solution for complex Named Entity Recognition tasks, including Nested NER, based on modern Large Language Models (LLMs). It provides tools for dataset creation, training, automatic metric calculation, inference, error analysis, and model implementation. Users can create instructions for LLM, build dictionaries with labels, and generate model input templates. The tool supports various entity types and datasets, such as RuDReC, NEREL-BIO, CoNLL-2003, and MultiCoNER II. It offers training scripts for LLMs and metric calculation functions. Instruct NER models like Llama, Mistral, T5, and RWKV are implemented, with HuggingFace models available for adaptation and merging.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

InstructGraph is a framework designed to enhance large language models (LLMs) for graph-centric tasks by utilizing graph instruction tuning and preference alignment. The tool collects and decomposes 29 standard graph datasets into four groups, enabling LLMs to better understand and generate graph data. It introduces a structured format verbalizer to transform graph data into a code-like format, facilitating code understanding and generation. Additionally, it addresses hallucination problems in graph reasoning and generation through direct preference optimization (DPO). The tool aims to bridge the gap between textual LLMs and graph data, offering a comprehensive solution for graph-related tasks.

Forust is a lightweight package for building gradient boosted decision tree ensembles. The algorithm code is written in Rust with a Python wrapper. It implements the same algorithm as XGBoost and provides nearly identical results. The package was developed to better understand XGBoost, as a fun project in Rust, and to experiment with adding new features to the algorithm in a simpler codebase. Forust allows training gradient boosted decision tree ensembles with multiple objective functions, predicting on datasets, inspecting model structures, calculating feature importance, and saving/loading trained boosters.

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