Best AI tools for< Pair Data >

CodeMate is an AI pair programmer tool designed to help developers write error-free code faster and more efficiently. It offers features such as code analysis, debugging assistance, code refactoring, and code review using advanced AI algorithms and machine learning techniques. CodeMate supports various programming languages and provides a secure environment for developers to work on their projects. With a user-friendly interface and collaborative features, CodeMate aims to streamline the coding process and enhance productivity for individual developers, teams, and enterprises.

CodeMate is an AI pair programmer tool designed to help developers write error-free code faster. It offers features like code navigation, understanding complex codebases, intuitive interface for smarter coding, instant debugging, code refactoring, and AI-powered code reviews. CodeMate supports all programming languages and provides suggestions for code optimizations. The tool ensures the security and privacy of user code and offers different pricing plans for individual developers, teams, and enterprises. Users can interact with their codebase, documentation, and Git repositories using CodeMate Chat. The tool aims to improve code quality and productivity by acting as a co-developer while programming.

Cursor is an AI-first code editor that helps developers build software faster. It provides a variety of features to help developers, including code completion, code generation, and error detection. Cursor is also designed to be easy to use and integrates with popular development tools like VSCode.

SpellBox is a versatile AI coding assistant that helps developers of all levels write code faster and more efficiently. With SpellBox, you can say goodbye to hours of frustrating coding and hello to quick, easy solutions. SpellBox creates the code you need from simple prompts, so you can solve your toughest programming problems in seconds.

Sommify is an AI sommelier application designed to help companies sell wine by creating memorable experiences for customers. The application addresses common issues in the wine industry such as customers' preferences, lack of information, and hesitation to ask questions. Sommify leverages AI technology and data analysis to automate wine pairing, generate valuable insights, and assist customers in finding the perfect wine match. Trusted by industry leaders and backed by investors, Sommify aims to revolutionize the wine purchasing experience through personalized recommendations and tailored solutions.

AskCodi is an AI-powered coding assistant designed to enhance developer productivity and efficiency. It offers a range of features, including AI-powered chat, workbooks, and integrations, to streamline coding tasks and improve code quality. AskCodi is trusted by developers worldwide for its ability to automate repetitive processes, provide real-time code suggestions, and enhance overall coding performance.

AskCodi is an AI coding assistant that helps developers write code more efficiently. It provides real-time suggestions, code completion, and error detection to streamline the coding process. With its advanced algorithms, AskCodi can understand the context of the code and offer relevant recommendations. By leveraging machine learning techniques, AskCodi continuously learns and improves its suggestions to better assist developers in their coding tasks.

Cursor is an AI code editor designed to enhance productivity for developers. It offers features such as code prediction, natural language editing, and the ability to import extensions seamlessly. Cursor ensures privacy and security by not storing user code and is SOC 2 certified. It is loved by developers worldwide for its AI capabilities integrated into the coding experience.

Machinet is an AI Agent designed for full-stack software developers. It serves as an AI-based IDE that assists developers in various tasks, such as code generation, terminal access, front-end debugging, architecture suggestions, refactoring, and mentoring. The tool aims to enhance productivity and streamline the development workflow by providing intelligent assistance and support throughout the coding process. Machinet prioritizes security and privacy, ensuring that user data is encrypted, secure, and never stored for training purposes.

Frame is a pair of AI-powered glasses that gives you superpowers. With Frame, you can see the world around you in a whole new way. You can translate text and speech, search the web, and even hack into devices. Frame is open-source, so you can customize it to fit your needs. With Frame, the only limit is your imagination.

aiXcoder is an innovative, intelligent programming robot product. It is provided as a "virtual programming expert" trained with professional code from various fields. Through pair programming with aiXcoder, programmers will feel significant improvements in working efficiency. With the help of aiXcoder, programmers will shake off the traditional "word-by-word" programming operation. aiXcoder could predict programmers' intentions intelligently and complete "the following code snaps" automatically. Programmers just need to confirm the generated code by one button click. Thus, it could improve coding efficiency dramatically.

Morphlin is an AI-powered trading platform that empowers traders with smart tools and insights to make informed decisions. The platform offers a powerful AI MorphlinGPT API Key Pair for smart trading on Binance. Users can access real-time information, investment analysis, and professional research reports from third-party experts. Morphlin integrates data from mainstream markets and exchanges, providing clear information through a dynamic dashboard. The platform's core values include offering a good environment for researchers to share opinions and a referral program that shares 10% of Morphlin fees with community KOLs. With Morphlin, traders can trade wisely and efficiently, backed by AI technology and comprehensive market data.

Storia AI is an AI tool designed to assist software engineering teams in understanding and generating code. It provides a Perplexity-like chat experience where users can interact with an AI expert that has access to the latest versions of open-source software. The tool aims to improve code understanding and generation by providing responses backed with links to implementations, API references, GitHub issues, and more. Storia AI is developed by a team of natural language processing researchers from Google and Amazon Alexa, with a mission to build the most reliable AI pair programmer for engineering teams.

Juno is an AI tool designed to enhance data science workflows by providing code suggestions, automatic debugging, and code editing capabilities. It aims to make data science tasks more efficient and productive by assisting users in writing and optimizing code. Juno prioritizes privacy and offers the option to run on private servers for sensitive datasets.

Platvix is an AI-powered platform that connects startups with investors. It offers a range of features to help startups find the right investors and to help investors find the most promising startups. Platvix's matchmaking engine uses AI to pair startups with investors based on their compatibility. The platform also provides investors with detailed insights into startup performance metrics and market trends. Platvix is designed to address the challenges that startups and investors face in connecting with each other. It provides a secure and transparent platform for startups to raise funding and for investors to find new investment opportunities.

Be My Eyes is an AI-powered visual assistance application that connects blind and low-vision users with volunteers and companies worldwide. Users can request live video support, receive assistance through artificial intelligence, and access professional support from partners. The app aims to improve accessibility for individuals with visual impairments by providing a platform for real-time assistance and support.

Be My Eyes is a free mobile app that connects blind and low-vision people with sighted volunteers and AI-powered assistance. With Be My Eyes, blind and low-vision people can access visual information, get help with everyday tasks, and connect with others in the community. Be My Eyes is available in over 180 languages and has over 6 million volunteers worldwide.

LookRight.ai is an AI tool designed to provide users with a second pair of eyes for various tasks such as rating outfits, providing roasts, inspiring messages, completing looks, and writing product captions. Users can select a prompt from the list and upload a picture to receive feedback and suggestions. The tool leverages artificial intelligence to analyze images and generate responses to assist users in making decisions and enhancing their content.

The Run Recommender is a web-based tool that helps runners find the perfect pair of running shoes. It uses a smart algorithm to suggest options based on your input, giving you a starting point in your search for the perfect pair. The Run Recommender is designed to be user-friendly and easy to use. Simply input your shoe width, age, weight, and other details, and the Run Recommender will generate a list of potential shoes that might suit your running style and body. You can also provide information about your running experience, distance, and frequency, and the Run Recommender will use this information to further refine its suggestions. Once you have a list of potential shoes, you can click on each shoe to learn more about it, including its features, benefits, and price. You can also search for the shoe on Amazon to find the best deals.

Vincent C. Müller is an AvH Professor of "Philosophy and Ethics of AI" and Director of the Centre for Philosophy and AI Research (PAIR) at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU) in Germany. He is also a Visiting Professor at the Technical University Eindhoven (TU/e) in the Netherlands. His research interests include the philosophy of artificial intelligence, ethics of AI, and the impact of AI on society.

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.

NExT-GPT is an end-to-end multimodal large language model that can process input and generate output in various combinations of text, image, video, and audio. It leverages existing pre-trained models and diffusion models with end-to-end instruction tuning. The repository contains code, data, and model weights for NExT-GPT, allowing users to work with different modalities and perform tasks like encoding, understanding, reasoning, and generating multimodal content.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Merlin is a groundbreaking model capable of generating natural language responses intricately linked with object trajectories of multiple images. It excels in predicting and reasoning about future events based on initial observations, showcasing unprecedented capability in future prediction and reasoning. Merlin achieves state-of-the-art performance on the Future Reasoning Benchmark and multiple existing multimodal language models benchmarks, demonstrating powerful multi-modal general ability and foresight minds.

FlagEmbedding focuses on retrieval-augmented LLMs, consisting of the following projects currently: * **Long-Context LLM** : Activation Beacon * **Fine-tuning of LM** : LM-Cocktail * **Embedding Model** : Visualized-BGE, BGE-M3, LLM Embedder, BGE Embedding * **Reranker Model** : llm rerankers, BGE Reranker * **Benchmark** : C-MTEB

This repository contains the training code of MobileLLM, a language model optimized for on-device use cases with fewer than a billion parameters. It integrates SwiGLU activation function, deep and thin architectures, embedding sharing, and grouped-query attention to achieve high-quality LLMs. MobileLLM-125M/350M shows significant accuracy improvements over previous models on zero-shot commonsense reasoning tasks. The design philosophy scales effectively to larger models, with state-of-the-art results for MobileLLM-600M/1B/1.5B.

PsyDI is a multi-modal and interactive chatbot designed for psychological assessments. It aims to explore users' cognitive styles through interactive analysis of their inputs, ultimately determining their Myers-Briggs Type Indicator (MBTI). The chatbot offers customized feedback and detailed analysis for each user, with upcoming features such as an MBTI gallery. Users can access PsyDI directly online to begin their journey of self-discovery.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=