Best AI tools for< Build Language Profile >

Tuned Together is an AI-powered platform designed to help individuals find their ideal romantic partner. By utilizing advanced Language Style Matching algorithms, the platform offers a unique compatibility assessment based on users' communication patterns. Backed by scientific research, Tuned Together provides predictive insights on relationship success and stability, empowering users to make informed decisions in their quest for love.

This is a unified DevOps platform to build AI applications. It provides a comprehensive set of tools and services to help developers build, deploy, and manage AI applications. The platform includes a variety of features such as a code editor, a debugger, a profiler, and a deployment manager. It also provides access to a variety of AI services, such as natural language processing, machine learning, and computer vision.

Accent Guesser is a free online accent test powered by advanced AI analysis. It allows users to record their voice, receive detailed insights about their accent characteristics, and compare their accent to native speakers. The tool is ideal for professionals seeking to improve communication in international business settings, language learners tracking pronunciation progress, and individuals interested in understanding their cultural background through accent analysis.

ROASTLI is an AI tool designed to analyze LinkedIn profiles and posts using advanced AI technology like ChatGPT. It generates a detailed analysis of the user's personality based on their LinkedIn activity. Additionally, ROASTLI is built on Wordware, an IDE for creating custom AI agents using natural language, making it suitable for various applications such as legal contract generation, marketing automation, and invoice analysis. It is ideal for cross-functional teams working on LLM applications, including non-technical members who require prompt outputs and quick iterations. ROASTLI empowers domain experts to shape LLM outputs without coding, particularly beneficial for scenarios like lawyers developing legal SaaS products. Developers can leverage ROASTLI to build sophisticated AI agents swiftly, offering features like loops, conditional logic, structured generation, and custom API integrations.

FlirtAI is an AI-powered app designed to enhance online dating communication. It provides personalized suggestions and context-aware analysis to help users craft engaging and meaningful responses. FlirtAI prioritizes privacy and encourages responsible use to foster genuine connections.

Jobscan is a comprehensive job search tool that helps job seekers optimize their resumes, cover letters, and LinkedIn profiles to increase their chances of getting interviews. It uses artificial intelligence and machine learning technology to analyze job descriptions and identify the skills and keywords that recruiters are looking for. Jobscan then provides personalized suggestions on how to tailor your application materials to each specific job you apply for. In addition to its resume and cover letter optimization tools, Jobscan also offers a job tracker, a LinkedIn optimization tool, and a career change tool. With its powerful suite of features, Jobscan is an essential tool for any job seeker who wants to land their dream job.

WriteSmart is an AI-powered tool that helps you generate engaging comments on LinkedIn. It uses natural language processing to analyze the content of a post and your profile to generate relevant and personalized comments. You can also use WriteSmart to draft your own comments and add the power of refined language. WriteSmart is available in 26 languages and is trusted by over 1000 clients.

Go Beyond AI is an AI-powered tool that helps businesses create personalized messages for each customer. It uses advanced AI and psychometrics to analyze a recipient's social media profile and craft a message that is tailored to their personality. This can help businesses increase conversions, build relationships, and save time.

TechCrunch is a leading technology media property, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.

VocaBuddy is a vocabulary-building application designed to help users enhance their language skills. The app allows users to store and practice their vocabulary in an interactive and engaging way. With features like random word generation and building vocabulary from selected words, VocaBuddy aims to make learning new words fun and effective. The app is user-friendly and suitable for learners of all levels, from beginners to advanced. VocaBuddy is a valuable tool for anyone looking to expand their vocabulary and improve their language proficiency.

Signapse AI is an AI-powered sign language translation application that revolutionizes accessibility for Deaf individuals. It offers real-time Generative AI sign language translation software, seamlessly translating British Sign Language (BSL) and American Sign Language (ASL) for public spaces, websites, and videos. The application utilizes a large dataset of sign language videos, AI technology for video selection and blending, and integrates into workflows to provide accurate and engaging communication. Signapse aims to bridge communication barriers and ensure inclusivity by making content truly inclusive and accessible to everyone.

FutureSmart AI is a platform that provides custom Natural Language Processing (NLP) solutions. The platform focuses on integrating Mem0 with LangChain to enhance AI Assistants with Intelligent Memory. It offers tutorials, guides, and practical tips for building applications with large language models (LLMs) to create sophisticated and interactive systems. FutureSmart AI also features internship journeys and practical guides for mastering RAG with LangChain, catering to developers and enthusiasts in the realm of NLP and AI.

Sarvam AI is an AI application focused on leading transformative research in AI to develop, deploy, and distribute Generative AI applications in India. The platform aims to build efficient large language models for India's diverse linguistic culture and enable new GenAI applications through bespoke enterprise models. Sarvam AI is also developing an enterprise-grade platform for developing and evaluating GenAI apps, while contributing to open-source models and datasets to accelerate AI innovation.

MAGE is a GPT web app generator that allows users to create custom web applications using natural language prompts. With MAGE, users can quickly and easily build web applications without having to write any code. MAGE is powered by OpenAI's GPT-3 technology, which allows it to understand and generate human-like text. This makes it easy for users to create web applications that are both powerful and user-friendly.

LM-Kit.NET is a comprehensive AI toolkit for .NET developers, offering a wide range of features such as AI agent integration, data processing, text analysis, translation, text generation, and model optimization. The toolkit enables developers to create intelligent and adaptable AI applications by providing tools for language models, sentiment analysis, emotion detection, and more. With a focus on performance optimization and security, LM-Kit.NET empowers developers to build cutting-edge AI solutions seamlessly into their C# and VB.NET applications.

Flowscript is a revolutionary app development platform that empowers users to build fully functional web applications using plain English. Its AI-powered engine instantly converts requirements specified in plain English into applications with robust business rules, data models, and secure workflows. With Flowscript, anyone can become a developer and streamline their workflows, getting more done in less time. It offers features like AI-powered workflows, data tables with relations, dynamic form generation, engagement and interaction tools, and secure data storage options.

Had-a Call is an AI-powered call management platform that revolutionizes customer outreach by breaking down language barriers and building stronger relationships with customers worldwide. It offers multi-language call center software, real-time call performance analytics, and scalable solutions for data-driven customer engagement. With Had-a Call, businesses can effortlessly scale their call center operations and make data-driven decisions to drive customer engagement and improve performance.

Arcee AI is a platform that offers a cost-effective, secure, end-to-end solution for building and deploying Small Language Models (SLMs). It allows users to merge and train custom language models by leveraging open source models and their own data. The platform is known for its Model Merging technique, which combines the power of pre-trained Large Language Models (LLMs) with user-specific data to create high-performing models across various industries.

GPT Engineer is an AI tool designed to help users build web applications 10x faster by chatting with AI. Users can sync their projects with GitHub and deploy them with a single click. The tool offers features like displaying top stories from Hacker News, creating landing pages for startups, tracking crypto portfolios, managing startup operations, and building front-end with React, Tailwind & Vite. GPT Engineer is currently in beta and aims to streamline the web development process for users.

LanguaTalk is a language learning platform that offers personalized coaching from 5-star tutors and world-class AI software to help users achieve fluency in various languages. The platform provides tailored language tutoring, practice sessions with advanced AI, and a combination of both for accelerated learning. LanguaTalk leverages AI technology to offer features such as personalized coaching, practice conversations, role plays, instant corrections, interactive transcripts, vocabulary learning through flashcards, and more. The platform has both free and paid plans, with a focus on providing effective and affordable language learning solutions.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

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.

This repository is a Chinese translation of the GitHub project 'LLMs-from-scratch', including detailed markdown notes and related Jupyter code. The translation process aims to maintain the accuracy of the original content while optimizing the language and expression to better suit Chinese learners' reading habits. The repository features detailed Chinese annotations for all Jupyter code, aiding users in practical implementation. It also provides various supplementary materials to expand knowledge. The project focuses on building Large Language Models (LLMs) from scratch, covering fundamental constructions like Transformer architecture, sequence modeling, and delving into deep learning models such as GPT and BERT. Each part of the project includes detailed code implementations and learning resources to help users construct LLMs from scratch and master their core technologies.

Julep is an advanced platform for creating stateful and functional AI apps powered by large language models. It offers features like statefulness by design, automatic function calling, production-ready deployment, cron-like asynchronous functions, 90+ built-in tools, and the ability to switch between different LLMs easily. Users can build AI applications without the need to write code for embedding, saving, and retrieving conversation history, and can connect to third-party applications using Composio. Julep simplifies the process of getting started with AI apps, whether they are conversational, functional, or agentic.

Inngest is a platform that offers durable functions to replace queues, state management, and scheduling for developers. It allows writing reliable step functions faster without dealing with infrastructure. Developers can create durable functions using various language SDKs, run a local development server, deploy functions to their infrastructure, sync functions with the Inngest Platform, and securely trigger functions via HTTPS. Inngest Functions support retrying, scheduling, and coordinating operations through triggers, flow control, and steps, enabling developers to build reliable workflows with robust support for various operations.

`npcsh` is a python-based command-line tool designed to integrate Large Language Models (LLMs) and Agents into one's daily workflow by making them available and easily configurable through the command line shell. It leverages the power of LLMs to understand natural language commands and questions, execute tasks, answer queries, and provide relevant information from local files and the web. Users can also build their own tools and call them like macros from the shell. `npcsh` allows users to take advantage of agents (i.e. NPCs) through a managed system, tailoring NPCs to specific tasks and workflows. The tool is extensible with Python, providing useful functions for interacting with LLMs, including explicit coverage for popular providers like ollama, anthropic, openai, gemini, deepseek, and openai-like providers. Users can set up a flask server to expose their NPC team for use as a backend service, run SQL models defined in their project, execute assembly lines, and verify the integrity of their NPC team's interrelations. Users can execute bash commands directly, use favorite command-line tools like VIM, Emacs, ipython, sqlite3, git, pipe the output of these commands to LLMs, or pass LLM results to bash commands.

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.

AWS MCP is a Model Context Protocol (MCP) server that facilitates interactions between AI assistants and AWS environments. It allows for natural language querying and management of AWS resources during conversations. The server supports multiple AWS profiles, SSO authentication, multi-region operations, and secure credential handling. Users can locally execute commands with their AWS credentials, enhancing the conversational experience with AWS resources.

The WhatsApp AI Assistant repository offers a chatbot named Sydney that serves as an AI-powered personal assistant. It utilizes Language Model (LLM) technology to provide various features such as Google/Bing searching, Google Calendar integration, communication capabilities, group chat compatibility, voice message support, basic text reminders, image recognition, and more. Users can interact with Sydney through natural language queries and voice messages. The chatbot can transcribe voice messages using either the Whisper API or a local method. Additionally, Sydney can be used in group chats by mentioning her username or replying to her last message. The repository welcomes contributions in the form of issue reports, pull requests, and requests for new tools. The creators of the project, Veigamann and Luisotee, are open to job opportunities and can be contacted through their GitHub profiles.

The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.

FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-the-art performance across diverse scenarios.

MNN-LLM is a high-performance inference engine for large language models (LLMs) on mobile and embedded devices. It provides optimized implementations of popular LLM models, such as ChatGPT, BLOOM, and GPT-3, enabling developers to easily integrate these models into their applications. MNN-LLM is designed to be efficient and lightweight, making it suitable for resource-constrained devices. It supports various deployment options, including mobile apps, web applications, and embedded systems. With MNN-LLM, developers can leverage the power of LLMs to enhance their applications with natural language processing capabilities, such as text generation, question answering, and dialogue generation.

Obsidian BMO Chatbot is a plugin that allows users to generate and brainstorm ideas while creating notes using Large Language Models (LLMs) from various providers like Ollama, LM Studio, Anthropic, OpenAI, Mistral AI, and more. Users can interact with self-hosted LLMs, create chatbots with specific knowledge and personalities, chat from anywhere within Obsidian, and receive formatted responses in Obsidian Markdown. The plugin also offers features like customizable bot name, prompt selection, saving chat history as markdown, and more. Users can activate the plugin through Obsidian Community plugins or by installing it manually. Supported models include Ollama, LM Studio, Anthropic, Mistral AI, Google Gemini Pro, OpenAI, and Openrouter provided models.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

EVE is an official PyTorch implementation of Unveiling Encoder-Free Vision-Language Models. The project aims to explore the removal of vision encoders from Vision-Language Models (VLMs) and transfer LLMs to encoder-free VLMs efficiently. It also focuses on bridging the performance gap between encoder-free and encoder-based VLMs. EVE offers a superior capability with arbitrary image aspect ratio, data efficiency by utilizing publicly available data for pre-training, and training efficiency with a transparent and practical strategy for developing a pure decoder-only architecture across modalities.

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

A dedicated job assistant for CV enhancement, interview prep, and job matching.

Your tech buddy helping you refurbish or build a PC from scratch, tailored to your needs, budget, and language.

Learn how to read other people's body langauge, and us your own to communicate powerfully.

Empathetic, interactive love language guide.

Helps you build an OpenAI Assistant Client

Accelerates the learning of key phrases and cultural norms for travelers in various languages.

Interprets body language in diverse daily situations with contextual insights.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

AI engineer specializing in building GPTs with the OpenAI API

OCamlは至高の言語

Use AI to build an online business

This GPT helps you build new GPTs.

Helps you build logic security into your GPTs custom instructions. Documentation: https://github.com/infotrix/SSLLMs---Semantic-Secuirty-for-LLM-GPTs

Build Autonomous AI Agents

Helps you build valid json objects to use in your actions API calls.

Describe the AI you want to build and what kind of tasks you need assistance with, get a structured, focused and well prompt engineered blueprint to paste into GPT-Builder.

Lightweight autonomous ai agents that build production ready applications from prompts

An all-in-one, consultative L&D expert AI helping you build impactful, customized learning solutions for your organization.

Expert on Voiceflow, the AI chat and automation platform

An adaptive tool for personalized chatbot creation guidance.