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Victor Dibia is an expert in Applied Machine Learning and HCI. He is currently a Principal Research Software Engineer at the Human-AI eXperiences (HAX) team, Microsoft Research where he focuses on Generative AI. His research interests are at the intersection of human-computer interaction (HCI), computational social science, and applied machine learning. His research has been published at conferences such as ACL, EMNLP, AAAI, and CHI and has received multiple best paper awards. His work has also been featured in outlets such as the Wall Street Journal and VentureBeat. He is an IEEE Senior member, a Google Certified Professional (Data Engineer, Cloud Architect), and currently a Google Developer Expert in Machine Learning. He holds a PhD in Information Systems from City University of Hong Kong (recipient of the HKPFS scholar award by the Hong Kong Research Grants Council). His dissertation studied developer contribution behavior in software crowdsourcing contests - factors influencing participation, the impact of incentives on participation behavior, and the problem-solving process within crowdsourcing contests. Prior to City University, he studied at the Information Networking Institute at Carnegie Mellon University where he earned a Master's degree in Information Networking. He previously worked as a Principal Research Engineer at Cloudera Fast Forward Labs, Research Staff Member at IBM Research, Technical Lead for MIT Global Startup Labs, Researcher at the Innovation Management Lab, Athens Information Technology Athens Greece, and founder/lead developer for a small startup focused on West African markets.

ReLogo AI is an AI application that allows users to express their brand through AI-generated photorealistic renders for interior design projects. Users can upload a picture of their project and explore over 20 unique design styles to create stunning visual representations in just seconds. The tool offers a seamless experience for users to bring their design ideas to life with the power of artificial intelligence.

NSFW Character AI is an AI-powered chatbot that allows users to create and interact with their own custom AI characters. With no filters and support for NSFW content, users can unleash their imaginations and bring their own unique characters to life. The platform also offers image generation capabilities, allowing users to create visual representations of their characters.

Ink Studio AI is a user-friendly and fast Tattoo Generator powered by artificial intelligence. It allows users to visualize their tattoo ideas quickly and easily, saving time and money. With a wide range of tattoo styles available, users can personalize their designs and generate new ones with tweaked prompts. The application leverages Stable Diffusion, a state-of-the-art text-to-image model, to turn textual prompts into stunning visual representations.

Historica is an AI-powered history map application that offers a unique experience of exploring civilization's timeline through meticulously reconstructed landscapes. It leverages generative AI to provide historical insights, predictive analysis, and personalized learning in the field of history. The platform aims to immerse users in the rich tapestry of human history by utilizing innovative technologies to reshape traditional research methodologies and enhance historical education.

RBG AI Drop #001 is an AI tool that allows users to interact with a virtual representation of Justice Ruth Bader Ginsburg. Users can ask her any YES/NO question and receive a response. The tool aims to provide a fun and engaging experience for users interested in exploring the world of artificial intelligence and virtual interactions.

Eightify.app is a web application that focuses on verifying the security of user connections. It ensures that users are human by conducting a verification process that may take a few seconds. The application prompts users to enable JavaScript and cookies to proceed, emphasizing performance and security through Cloudflare services.

The website is a platform for Android apps available on Google Play. It features a wide range of games, movies, books, and apps for kids. Users can explore and download various entertainment options, make payments, manage subscriptions, and access settings. The site showcases popular apps and games, including Honor of Kings, Mobile Legends: Bang Bang, eFootball™ 2024, and more. It also provides updates on new releases, in-app purchases, and events happening in the gaming world.

Google DeepMind is a British artificial intelligence research laboratory owned by Google. The company was founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. DeepMind's mission is to develop safe and beneficial artificial intelligence. The company's research focuses on a variety of topics, including machine learning, reinforcement learning, and computer vision. DeepMind has made significant contributions to the field of artificial intelligence, including the development of AlphaGo, the first computer program to defeat a professional human Go player.

TheresAnAIForThat.com is a website that provides information and resources on various AI tools and applications. Users can explore different AI technologies, learn about their features and advantages, and find suitable applications for their needs. The website aims to educate and inform users about the potential of AI in various industries and how it can be leveraged to enhance productivity and efficiency.

Atlassian Marketplace is a platform where users can explore and discover new apps for Atlassian products. Users can browse through various categories to find useful apps such as charts and diagrams, test management tools, and more. The platform aims to provide a wide range of apps to enhance productivity and efficiency for Atlassian users.

LABS.GOOGLE is an experimental platform where users can explore the latest advancements in AI technology. The platform offers a wide range of AI tools and applications that cater to various interests, from visual arts to music creation. Users can experiment with AI-driven projects, collaborate with innovators, and access personalized AI collaborators for different tasks.

The website is an AI tool called Google Lens that allows users to search, discover, and explore the world around them using AI-powered technology. Users can identify plants, search for information, shop, translate text, find songs, and more by simply using their camera or voice. Google Lens provides detailed overviews, helps with homework, and offers a unique way to interact with the environment through augmented reality. With 25 years of search history, Google Lens continues to innovate and inspire users worldwide.

AI Playground is a platform that allows users to compare top AI models side-by-side. It provides documentation, examples, and search functionality for various AI models. Users can access AI SDK Playground to experiment with different models and providers. The platform also offers features like sharing, feedback, and integration with GitHub and Vercel. AI Playground aims to facilitate the exploration and utilization of AI technologies for solving complex problems.

Albus is an AI-powered platform that allows users to explore, learn, and create with the help of advanced AI models and tools. It offers features such as generating images with SDXL and DALL-E, PDF intelligence, image/audio insights, mind-mapping, audio narrations, and more. Albus aims to break down complex topics, spark creativity, and provide valuable insights across various content formats.

GPTE is a free directory of over 5,000 AI tools covering various categories such as code, video, writing, productivity, design, image, audio, assistant, lifestyle, business, education, gaming, and more. Users can search for AI tools, ask the bot for help, and discover the latest tools and trends in AI. The platform features a wide range of AI-powered applications designed to assist users in different tasks and projects.

Stable Diffusion XL (SDXL) is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. It is an improved version of the previous Stable Diffusion models, with better photorealistic outputs, more detailed imagery, and improved face generation. SDXL is available via DreamStudio and other image generation apps like NightCafe Studio and ClipDrop. It can be used for a variety of tasks, including image generation, image-to-image prompting, inpainting, and outpainting.

The website offers a platform for users to create history timelines. Users can easily create and view timelines on various historical topics. The platform allows users to explore and learn about different historical events in a structured and organized manner.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

OSS Insight is a website that provides deep insight into developers and repositories on GitHub, offering information about stars, pull requests, issues, pushes, comments, and reviews. The platform ranks repositories based on various scores and provides insights about trending repositories in different programming languages and technical fields. Users can explore curated repository lists, hot collections, and game engines, among other features. Additionally, OSS Insight offers tutorials and workshops on analyzing GitHub events using TiDB Cloud.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL databases, and tools for transforming aggregated data into features useful for analysis and AI/ML. It offers documentation, installation instructions, and basic usage examples for exploring various financial APIs and features. Users can install recommended datasets from 3rd party APIs into a local SQL database, access Bureau of Economic Analysis (BEA) data, Federal Reserve Economic Data (FRED), Securities and Exchange Commission (SEC) filings, and more. The package also allows users to explore raw data features, install refined data features, and perform refined aggregations of raw data. Configuration options for API keys, user agents, and data locations are provided, along with information on dependencies and related projects.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

The AI-Gateway repository explores the AI Gateway pattern through a series of experimental labs, focusing on Azure API Management for handling AI services APIs. The labs provide step-by-step instructions using Jupyter notebooks with Python scripts, Bicep files, and APIM policies. The goal is to accelerate experimentation of advanced use cases and pave the way for further innovation in the rapidly evolving field of AI. The repository also includes a Mock Server to mimic the behavior of the OpenAI API for testing and development purposes.

The NaLLM project repository explores the synergies between Neo4j and Large Language Models (LLMs) through three primary use cases: Natural Language Interface to a Knowledge Graph, Creating a Knowledge Graph from Unstructured Data, and Generating a Report using static and LLM data. The repository contains backend and frontend code organized for easy navigation. It includes blog posts, a demo database, instructions for running demos, and guidelines for contributing. The project aims to showcase the potential of Neo4j and LLMs in various applications.

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.

The Clarifai Python SDK offers a comprehensive set of tools to integrate Clarifai's AI platform to leverage computer vision capabilities like classification , detection ,segementation and natural language capabilities like classification , summarisation , generation , Q&A ,etc into your applications. With just a few lines of code, you can leverage cutting-edge artificial intelligence to unlock valuable insights from visual and textual content.

Recent LLM (Large Language Models)-based CV and multi-modal works.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

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.

This repository contains code for reproducing experiments on lie detection in black-box LLMs by asking unrelated questions. It includes Q/A datasets, prompts, and fine-tuning datasets for generating lies with language models. The lie detectors rely on asking binary 'elicitation questions' to diagnose whether the model has lied. The code covers generating lies from language models, training and testing lie detectors, and generalization experiments. It requires access to GPUs and OpenAI API calls for running experiments with open-source models. Results are stored in the repository for reproducibility.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

This CustomGPT is designed to simulate intricate discussions between representatives of various philosophical and ethical schools, such as the Renaissance, Stoicism, Existentialism, and others, using relevant texts and artworks as knowledge resources.

Expands queries with tangential insights

I specialize in encouraging people to critically reflect on and explore their beliefs through Socratic questioning and neutral conversation.

Explore the infinite and your place in it.

Explore any topic with an advanced hierarchical interactive mapping with streamlined control. Begin with !start [topic].

Explore cities, immerse in cultures, and master languages in a conversational adventure.

Solution-focused, cognitive-behavioral, and transformational coaching to explore yourself, including journalling support.

Powerful and insightful. Ready to explore the subconscious world you didn't even know you had?

we can explore various aspects of spells, magic, and their historical significance. Feel free to ask questions, discuss specific spells or rituals, or delve into the cultural and folklore aspects of spellcasting. I'm here to provide insights and engage in a visionary conversation.

Explore social and environmental data for 169 countries to measure social progress and go beyond GDP. Using data from the Social Progress Imperative and powered by Open AI.

Explore any location with a visual street view perspective.

I help you to explore the galaxy by answering astronomy questions with the Gaia Space Telescope. Ask a question, download .csv, upload .csv for plotting

Explore 7779 new global AI products with ease! / 7779個のAI productのDBをもとにリサーチ

Explore the history of international football games, just by asking questions!

Explore Professor Oak's garden of rare, unknown creatures from his own vast knowledge.

Explore art with humor, dark wit, and now heartwarming stories about artists and their works.

Explore Poe's classic tale and its Netflix adaptation with rich insights.

Explore Lex Fridman's podcast universe with Lex Fridman GPT—extracting wisdom from deep conversations with brilliant minds on technology, humanity, and philosophy.

Explore The City of the Future

Explore the sexy SutraKama (NSFW), an ancient text delving into relationships, love, and intimate customs, offering insights on sensual art and emotional connections. For research and Education. Powered by www.breebs.com