Best AI tools for< Calculate Embeddings >

The Cat Years Calculator is an AI application that accurately calculates a cat's age in human years based on advanced veterinary research. It offers both traditional and scientific age calculations, considering factors like breed, gender, neutered status, weight, and health. The tool provides valuable insights into understanding how cats age and helps cat owners better care for their feline companions.

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 that provides access to building codes, assemblies, and building products libraries. It offers a comprehensive database of regulations and standards for construction projects, enabling users to easily search and reference relevant information. With UpCodes, architects, engineers, contractors, and other industry professionals can streamline their workflow, ensure compliance with codes, and enhance the quality of their designs. The platform is designed to simplify the process of accessing and interpreting building codes, saving time and reducing errors in construction 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.

Thatch is a modern health benefits platform that offers a personalized healthcare experience to employees using an ICHRA. It provides a flexible and affordable way for companies to offer healthcare benefits by allowing them to set a budget and empower team members to choose their preferred healthcare options. Thatch simplifies benefits administration, helps in budgeting, and offers a Thatch Visa debit card for easy payment of healthcare costs. The platform works with all payroll providers and insurance plans, making it a convenient solution for companies of all sizes.

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 Excel Formula Generator is an AI-driven tool that simplifies the process of creating and understanding Excel formulas. It helps users convert text instructions into formulas or input existing formulas to have them explained. The tool also offers capabilities for data analysis, data visualization, and advanced data models, making it valuable for entry-level professionals in various industries.

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.

My Dog Years is an AI-powered calculator that accurately converts between human years and dog years. The tool considers breed-specific characteristics and provides precise age comparisons based on DNA research and scientific studies. Users can easily determine their age in dog years or their dog's age in human years with the help of this innovative tool.

The Dog Age Calculator is an AI-powered tool that accurately converts a dog's age into human years based on advanced scientific research and breed-specific data. It considers factors such as DNA methylation research, genetic factors, breed-specific aging patterns, individual health characteristics, and environmental influences on aging to provide precise results. The tool offers a comparison between the scientific research method and the traditional method of age calculation, highlighting the limitations of the latter. Users can easily calculate their dog's age in human years and receive care recommendations based on their life stage.

The Human Years to Dog Years Calculator is a fun and professional tool that accurately converts human age to dog years based on AI and scientific research. It considers breed-specific characteristics to provide precise age comparisons, continuously updated with the latest research data. Users can select their birth date and dog breed to discover their equivalent age in the dog world, gaining insights into different life stages and growth patterns across breeds.

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.

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.

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.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

Transformer Lab is an app that allows users to experiment with Large Language Models by providing features such as one-click download of popular models, finetuning across different hardware, RLHF and Preference Optimization, working with LLMs across different operating systems, chatting with models, using different inference engines, evaluating models, building datasets for training, calculating embeddings, providing a full REST API, running in the cloud, converting models across platforms, supporting plugins, embedded Monaco code editor, prompt editing, inference logs, all through a simple cross-platform GUI.

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.

Wllama is a WebAssembly binding for llama.cpp, a high-performance and lightweight language model library. It enables you to run inference directly on the browser without the need for a backend or GPU. Wllama provides both high-level and low-level APIs, allowing you to perform various tasks such as completions, embeddings, tokenization, and more. It also supports model splitting, enabling you to load large models in parallel for faster download. With its Typescript support and pre-built npm package, Wllama is easy to integrate into your React Typescript projects.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

chromem-go is an embeddable vector database for Go with a Chroma-like interface and zero third-party dependencies. It enables retrieval augmented generation (RAG) and similar embeddings-based features in Go apps without the need for a separate database. The focus is on simplicity and performance for common use cases, allowing querying of documents with minimal memory allocations. The project is in beta and may introduce breaking changes before v1.0.0.

DeepPavlov is an open-source conversational AI library built on PyTorch. It is designed for the development of production-ready chatbots and complex conversational systems, as well as for research in the area of NLP and dialog systems. The library offers a wide range of models for tasks such as Named Entity Recognition, Intent/Sentence Classification, Question Answering, Sentence Similarity/Ranking, Syntactic Parsing, and more. DeepPavlov also provides embeddings like BERT, ELMo, and FastText for various languages, along with AutoML capabilities and integrations with REST API, Socket API, and Amazon AWS.

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.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

ChatWeb is a tool that can crawl web pages, extract text from PDF, DOCX, TXT files, and generate an embedded summary. It can answer questions based on text content using chatAPI and embeddingAPI based on GPT3.5. The tool calculates similarity scores between text vectors to generate summaries, performs nearest neighbor searches, and designs prompts to answer user questions. It aims to extract relevant content from text and provide accurate search results based on keywords. ChatWeb supports various modes, languages, and settings, including temperature control and PostgreSQL integration.

WebWhiz is an open-source tool that allows users to train ChatGPT on website data to build AI chatbots for customer queries. It offers easy integration, data-specific responses, regular data updates, no-code builder, chatbot customization, fine-tuning, and offline messaging. Users can create and train chatbots in a few simple steps by entering their website URL, automatically fetching and preparing training data, training ChatGPT, and embedding the chatbot on their website. WebWhiz can crawl websites monthly, collect text data and metadata, and process text data using tokens. Users can train custom data, but bringing custom open AI keys is not yet supported. The tool has no limitations on context size but may limit the number of pages based on the chosen plan. WebWhiz SDK is available on NPM, CDNs, and GitHub, and users can self-host it using Docker or manual setup involving MongoDB, Redis, Node, Python, and environment variables setup. For any issues, users can contact [email protected].

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Let's calculate the carbon footprint of your building!

Calculate the results of your A/B test and check whether the result is statistically significant or due to chance.

Calculate aspect ratio from width & height

I help simplify and realistically calculate how much house you can buy. Real Estate , Personal Finance, Mortgages, & more.

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

Effortlessly calculate your tip and total bill with TipCheck Calculator Pro. Simply scan your restaurant or bar receipt, and get instant suggested tip amounts with an accurate breakdown of your total payment. No more guesswork.

Calculate website worth by analyzing monthly revenue, using industry-standard valuation methods to provide approximate, informative value estimates.

I calculate current values of precious metals like gold and silver.

I calculate and recommend tire chain sizes based on your tire specs.

I help calculate and reduce your personal environmental footprint.

I'm an Environmental Impact Analyzer, here to calculate and reduce your carbon footprint.

I am The EthiSizer GPT, a sim of a Global Ethical Governor. I simulate Ethical Scenarios, & calculate Personal Ethics Scores.

This GPT will guide you through an anxiety questionnaire and calculate your total score.

by Medicinex.tech: Simply snap a photo of your meals or nutrition label, and AI will calculate the calories and nutrients in your food and track progress.

A GST rate calculator for goods and services, using provided documents for accuracy.

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Calcola e impara come si fanno i calcoli

Thoracolumbar Injury Classification and Severity (TLICS) system calculator

Calculates division remainders, emphasizing Euclidean division principles.

Calculates crypto earnings for Ghosts of Tabor based on GPUs and Intel room level