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Towards Data Science is a Medium publication dedicated to sharing concepts, ideas, and codes in the field of data science. It provides a platform for data scientists, researchers, and practitioners to connect, learn, and contribute to the advancement of the field.

Zazzani AI Buddy is an AI-powered platform that empowers users to create, debug code, write articles, and communicate with AI in multiple languages. It enhances productivity by generating ideas, providing context-specific answers, and eliminating monotony through automated tasks. Users can sign up to receive updates and contribute to the platform's growth. Zazzani AI Buddy aims to streamline workflows and inspire creativity through its innovative AI capabilities.

MarsX is a revolutionary dev tool that seamlessly integrates AI, NoCode, Code, and MicroApps, empowering developers to create innovative software solutions with unprecedented speed and efficiency. At its core, MarsX offers a comprehensive suite of features that cater to the diverse needs of developers, from AI-powered landing page builders to a vast Micro AppStore brimming with ready-to-use Micro-Apps. These Micro-Apps, meticulously crafted by developers worldwide, provide instant access to a plethora of functionalities, enabling developers to rapidly assemble complex applications without the need for extensive coding. MarsX's commitment to innovation extends beyond its core offerings, as evidenced by its continuous development of cutting-edge tools such as AI website builders and AI-powered UI generators. These tools leverage the transformative power of AI to streamline the development process, allowing developers to focus on their creativity and strategic decision-making. By harnessing the collective knowledge and expertise of a global developer community, MarsX fosters a collaborative environment where developers can share their creations, learn from each other, and contribute to the ever-expanding ecosystem of Micro-Apps. MarsX's mission is to democratize software development, making it accessible to individuals and teams of all skill levels. With its intuitive interface, comprehensive documentation, and a supportive community, MarsX empowers developers to bring their ideas to life, transforming complex software development into an accessible and enjoyable experience.

Flora Incognita is an AI-supported plant identification application that allows users to identify more than 16,000 plant species. It enables users to save plant observations, access extensive plant fact sheets, and contribute to science through citizen science projects. The app is free of charge, advertising-free, and can be used offline, making it ideal for educational purposes and nature conservation initiatives. The research project 'Flora Incognita++' combines AI technology with citizen science to enhance plant identification and research.

4'33" is an AI agent designed to help students and researchers discover the people they need, such as students seeking professors in a specific field or city. The tool assists in asking better questions, connecting with individuals, and evaluating how well they align with the user's requirements and background. Powered by Perplexity, 4'33" offers a platform for connecting people and answering questions, alongside AI technology. The tool aims to facilitate easier and faster connections between users and relevant individuals, enabling knowledge sharing and collaboration.

Heartspace is an AI-powered platform that offers an autonomous AI researcher and writer named NirvanaAI. The platform aims to revolutionize the media industry by providing pre-made article summaries, news monitoring, and content creation services. NirvanaAI is designed to assist journalists and news organizations in automating news summaries, researching topics, and writing high-quality articles in a human-like tone. Heartspace ensures user privacy, ethical communication, and supports multiple languages. The platform is subscription-based, ad-free, GDPR compliant, and prioritizes responsible journalism.

RejuveAI is a decentralized token-based system that aims to democratize longevity globally. The Longevity App allows users to take control of their health data, monitor essential metrics, and earn RJV tokens. The application leverages revolutionary AI technology to analyze human body functions in-depth, providing insights for combating aging. RejuveAI collaborates with researchers, clinics, and data enthusiasts to ensure affordable and accessible innovative outcomes. Users can unlock exclusive discounts on various services by accumulating RJV tokens.

GitHub is the world's leading AI-powered developer platform that offers a wide range of tools and features to enhance the developer experience. It provides automation for workflows, security features to find and fix vulnerabilities, instant development environments, AI-powered code assistance with GitHub Copilot, code review and management capabilities, issue tracking, collaboration tools, and more. GitHub empowers developers to accelerate innovation and collaborate efficiently, making it a go-to platform for individuals, teams, and organizations in the software development industry.

Almaya is a digital autobiography platform that allows users to record and share their stories, advice, and life lessons with their loved ones. It is a safe and private way to preserve memories and connect with family and friends, both now and in the future. Almaya uses artificial intelligence to help users create a personalized and interactive autobiography that can be easily shared and accessed from anywhere, anytime.

IX Coach is an AI-powered interdisciplinary coaching platform that helps individuals and teams achieve their goals. The platform provides users with access to a network of certified coaches, as well as a variety of tools and resources to support their coaching journey.

Emerge AI is an AI-driven wellness application that offers a unique experience by providing AI-generated digital companions to support users on their wellness journey. Through innovative NFT technology, users can earn tokens by achieving fitness milestones, contributing to the growth of their digital pets. The app also focuses on networking with friends to create a vibrant community around wellness and technology. With a comprehensive suite of features, Emerge AI aims to empower users in achieving wellness excellence.

Neurochain AI is a decentralized AI-as-a-Service (DeAIAS) network that provides an innovative solution for building, launching, and using AI-powered decentralized applications (dApps). It offers a community-driven approach to AI development, incentivizing contributors with $NCN rewards. The platform aims to address challenges in the centralized AI landscape by democratizing AI development and leveraging global computing resources. Neurochain AI also features a community-powered content generation engine and is developing its own independent blockchain. The team behind Neurochain AI includes experienced professionals in infrastructure, cryptography, computer science, and AI research.

Pl@ntNet is a citizen science project available as an application that helps you identify plants from your photos. It is a collaborative project that brings together scientists, naturalists, and citizens from all over the world to collect and share data on plant diversity. The app uses artificial intelligence to identify plants from photos, and the data collected is used to create a global database of plant diversity. Pl@ntNet is free to use and is available in over 20 languages.

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.

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

The Allen Institute for AI (AI2) is a leading research institute dedicated to advancing artificial intelligence technologies for the common good. They focus on Natural Language Processing, Computer Vision, and AI applications for the environment. AI2 collaborates with diverse teams to tackle challenging problems in AI research, aiming to create world-changing AI solutions. The institute promotes diversity, equity, and inclusion in the research community, and offers opportunities for individuals to contribute to impactful AI projects.

AIhub is a platform that connects the AI community and the world by providing news articles, opinions, and education related to artificial intelligence. It serves as a hub for sharing information, resources, and contributing to the advancement of AI technologies. The platform covers a wide range of topics such as AI research, machine learning, robotics, and the societal impact of AI.

Comfy Org is an open-source AI tooling platform dedicated to advancing and democratizing AI technology. The platform offers tools like node manager, node registry, CLI, automated testing, and public documentation to support the ComfyUI ecosystem. Comfy Org aims to make state-of-the-art AI models accessible to a wider audience by fostering an open-source and community-driven approach. The team behind Comfy Org consists of individuals passionate about developing and maintaining various components of the platform, ensuring a reliable and secure environment for users to explore and contribute to AI tooling.

Medgic is an advanced AI tool designed to scan, analyze, and detect skin problems using powerful AI technology. Users can simply take a photo of their skin condition, and Medgic provides results along with friendly advice. The AI robot aims to reimagine medicine by continuously learning and evolving to contribute towards solving global healthcare challenges. It is available for free on all devices and offers general information for educational purposes only, not as a replacement for physician consultation.

Rebuff AI is an AI tool designed as a self-hardening prompt injection detector. It is built to strengthen its prompt detection capabilities as it encounters more attacks. The tool serves as a playground for developers to experiment with prompt injection detection and enhance their understanding of AI security. With an intuitive API, Rebuff AI empowers users to protect the AI community by improving prompt injection detection mechanisms. The tool is a valuable resource for developers looking to enhance AI security practices and contribute to a safer AI environment.

Substrate is an open-source framework designed for human understanding, meaning, and progress. It provides a platform for individuals to contribute by modifying various object files such as Problems, Solutions, and Ideas. The project aims to visualize human progress and offers a web-based interface to facilitate non-coders in contributing. Substrate was created by Daniel Miessler in July 2024 and has a single-repo structure for easier project management. The tool emphasizes collaboration and inspiration from contributors like Jonathan Dunn, Joel Parish, and Joseph Thacker.

AIHub is a client that integrates the capabilities of multiple large models, allowing users to quickly and easily build their own personalized AI assistants. It supports custom plugins for endless possibilities. The tool provides powerful AI capabilities, rich configuration options, customization of AI assistants for text and image conversations, AI drawing, installation of custom plugins, personal knowledge base building, AI calendar generation, support for AI mini programs, and ongoing development of additional features. Users can download the application package from the release section, resolve issues related to macOS app installation, and contribute ideas by submitting issues. The project development involves installation, development, and building processes for different operating systems.

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.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Merlinn is an open-source AI-powered on-call engineer that automatically jumps into incidents & alerts, providing useful insights and RCA in real time. It integrates with popular observability tools, lives inside Slack, offers an intuitive UX, and prioritizes security. Users can self-host Merlinn, use it for free, and benefit from automatic RCA, Slack integration, integrations with various tools, intuitive UX, and security features.

Shell-AI (`shai`) is a CLI utility that enables users to input commands in natural language and receive single-line command suggestions. It leverages natural language understanding and interactive CLI tools to enhance command line interactions. Users can describe tasks in plain English and receive corresponding command suggestions, making it easier to execute commands efficiently. Shell-AI supports cross-platform usage and is compatible with Azure OpenAI deployments, offering a user-friendly and efficient way to interact with the command line.

Chroma is an open-source embedding database that provides a simple, scalable, and feature-rich way to build Python or JavaScript LLM apps with memory. It offers a fully-typed, fully-tested, and fully-documented API that makes it easy to get started and scale your applications. Chroma also integrates with popular tools like LangChain and LlamaIndex, and supports a variety of embedding models, including Sentence Transformers, OpenAI embeddings, and Cohere embeddings. With Chroma, you can easily add documents to your database, query relevant documents with natural language, and compose documents into the context window of an LLM like GPT3 for additional summarization or analysis.

LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

The ai-playground repository contains code from tutorials presented on the Code AI with Rok YouTube channel. It includes tutorials on using the OpenAI Assistants API v1 beta to build personal math tutors, customer support chatbots, and more. Additionally, there are tutorials on using Gemini Pro API, Snowflake Cortex LLM functions, LlamaIndex chat streaming app, Fetch.ai uAgents, Milvus Standalone, spaCy for NER, and more. The repository aims to provide practical examples and guides for developers interested in AI-related projects and tools.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

This repository contains a collection of sample applications and Jupyter Notebooks for hands-on experience with Pinecone vector databases and common AI patterns, tools, and algorithms. It includes production-ready examples for review and support, as well as learning-optimized examples for exploring AI techniques and building applications. Users can contribute, provide feedback, and collaborate to improve the resource.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

OpenSumi is a framework designed to help users quickly build AI Native IDE products. It provides a set of tools and templates for creating Cloud IDEs, Desktop IDEs based on Electron, CodeBlitz web IDE Framework, Lite Web IDE on the Browser, and Mini-App liked IDE. The framework also offers documentation for users to refer to and a detailed guide on contributing to the project. OpenSumi encourages contributions from the community and provides a platform for users to report bugs, contribute code, or improve documentation. The project is licensed under the MIT license and contains third-party code under other open source licenses.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

python-sc2 is an easy-to-use library for writing AI Bots for StarCraft II in Python 3. It aims for simplicity and ease of use while providing both high and low level abstractions. The library covers only the raw scripted interface and intends to help new bot authors with added functions. Users can install the library using pip and need a StarCraft II executable to run bots. The API configuration options allow users to customize bot behavior and performance. The community provides support through Discord servers, and users can contribute to the project by creating new issues or pull requests following style guidelines.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

README-AI is a developer tool that auto-generates README.md files using a combination of data extraction and generative AI. It streamlines documentation creation and maintenance, enhancing developer productivity. This project aims to enable all skill levels, across all domains, to better understand, use, and contribute to open-source software. It offers flexible README generation, supports multiple large language models (LLMs), provides customizable output options, works with various programming languages and project types, and includes an offline mode for generating boilerplate README files without external API calls.

This repository provides resources to understand and utilize GPT (Generative Pre-trained Transformer) by Azure OpenAI. It includes sample solutions, use cases, and quick start guides. Users can explore various applications of GPT, such as chatbots, customer service, and content generation. The repository also offers Langchain, Semantic Kernel, and Prompt Flow samples, along with Serverless SQL GPT for natural language processing in Azure Synapse Analytics. The samples are based on GPT 3.5, with plans to update for GPT-4. Users are encouraged to contribute to keep the repository updated with the latest technologies and solutions.

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