Best AI tools for< Participate In Workshops >

GenAI Summit San Francisco 2024 is an innovative AI tool designed to bring together industry leaders, researchers, and enthusiasts to explore the latest trends and advancements in artificial intelligence. The platform offers a virtual space for networking, knowledge sharing, and collaboration, enabling participants to gain insights into cutting-edge AI technologies and applications. With interactive sessions, keynote speeches, and panel discussions, GenAI Summit fosters a vibrant community of AI professionals and facilitates meaningful connections in the field.

Workshop Studio is an AI-powered tool that helps you create and manage your workshops. With Workshop Studio, you can easily create beautiful, engaging workshops that are sure to impress your audience. Our intuitive drag-and-drop interface makes it easy to add content, images, and videos to your workshops. You can also use our built-in templates to get started quickly.

The Rundown AI is an AI tool designed to help users learn about artificial intelligence in a quick and efficient manner. It offers certificate courses, workshops, resources, newsletters, job board, and free guides related to AI. Users can stay updated with the latest AI news, tutorials, and workshops, and learn how to apply AI in various fields. The tool aims to cater to professionals from companies like Apple, OpenAI, Tesla, and NASA, providing them with valuable insights and knowledge about AI technologies.

DeepLearning.AI is an online platform offering a wide range of courses, discussions, and resources related to artificial intelligence. Users can engage in discussions, ask questions, and participate in various AI projects. The platform covers topics such as deep learning, machine learning, natural language processing, and more. DeepLearning.AI aims to provide a comprehensive learning experience for individuals interested in AI technologies.

Be10X is an ed-tech platform that provides online workshops and courses on AI tools, Microsoft Office, and Power BI. Their workshops are designed to help working professionals upskill, boost productivity, and achieve their career goals. Be10X offers a variety of workshops, including an AI Tools Workshop, an Office Hacks using AI Workshop, and a PowerBI Workshop. These workshops are led by IIT Kharagpur Alumni and provide participants with hands-on experience with AI tools and techniques.

The AI x Marketing Conference is a premier event focused on the intersection of artificial intelligence and marketing. It aims to provide attendees with insights, strategies, and hands-on experience to leverage AI for exponential growth in their businesses. The conference features keynote speakers, workshops, real-life case studies, lightning talks, networking opportunities, and more, all tailored to help participants understand and implement AI tools effectively in their marketing strategies.

Side School is an AI education platform based in Paris, France, offering practical training to professionals on how to integrate AI into their respective fields. The platform emphasizes hands-on learning over theory, tailored to busy schedules. Participants engage with peer groups for knowledge exchange. Side School's method focuses on practical application, with free online courses and workshops. Testimonials praise the engaging challenges and comprehensive feedback, highlighting the platform's user-friendly interface and inspiring instructors. The program aims to equip individuals with AI tools for immediate productivity gains, positioning AI as a productivity enhancer rather than a human replacement.

PS2 AI Filter is an AI-powered tool that allows users to create PS2-style images from their photos. It is easy to use and can be done in seconds. The tool is available as a web app and as an iOS app.

HeardThat is a smartphone application that leverages AI technology to help users hear speech more clearly in noisy environments. By using the app with existing Bluetooth earbuds or hearing aids, users can separate speech from background noise, allowing them to participate in conversations with confidence. HeardThat aims to address the common complaint of difficulty in understanding speech in noisy settings, which can lead to social isolation. The app provides users with control over ambient sound levels, enhancing their overall listening experience.

FOXSY.AI is an AI application that combines robotics and AI to create fully autonomous humanoid robot soccer players. The project aims to achieve the RoboCup final goal of having a team of robots win a soccer game against the winner of the most recent World Cup. The $FOXSY token powers the implementation of robotics and AI research, enabling users to engage with the RoboCup mechanics for entertainment value. The application offers various tools and features for users to participate in online tournaments, customize players, and analyze game strategies.

The Vector Institute for Artificial Intelligence is an independent, not-for-profit corporation dedicated to AI research. They work across sectors to advance AI application, adoption, and commercialization across Canada. Vector researchers are pushing the boundaries of machine learning and deep learning with applications ranging from privacy to security to healthcare. The institute offers a suite of programs, courses, and projects to help students, businesses, and working professionals from industry sponsors or small businesses. They collaborate with universities, health organizations, governments, and businesses to connect leading AI research with its application across Canada and the world.

NORA (Norwegian Artificial Intelligence Research Consortium) is a collaborative platform between 8 universities, 5 university colleges, and 5 research institutes in Norway focusing on AI, machine learning, and robotics. The consortium aims to enhance research, education, and innovation in these fields, fostering a vibrant community of researchers, educators, and innovators.

Afroverse is an AI-powered music investment platform designed specifically for the Afrobeat industry. It provides tools for demo submissions, cross-border collaborations, music distribution, investment opportunities, community engagement, and more.

RoleplayWithVideo is a platform that allows users to engage in role-playing activities using video content. Users can create and participate in various scenarios, enhancing their creativity and communication skills. The platform provides a unique way to interact with others and explore different roles and perspectives through video-based interactions. With RoleplayWithVideo, users can immerse themselves in virtual scenarios and enhance their storytelling abilities.

Nature is a scientific journal that publishes original research, reviews, news, and commentary on a wide range of scientific disciplines. It is one of the world's most prestigious scientific journals, and its articles are widely cited in the scientific literature. Nature is published by Springer Nature, a leading global publisher of scientific, technical, and medical content.

MachineHack is an AI platform that empowers AI developers by providing resources and knowledge for real-world ML projects through hackathons, community learning, and assessments. It hosts AI hackathons, offers practice opportunities, and features AI courses, blogs, and tools. The platform encourages innovation and skill development in the AI field.

SuperAI is the premier AI event happening in Singapore on 5-6 June 2024. It is a highly anticipated conference that brings together industry leaders, entrepreneurs, researchers, and curious minds to explore and unveil the next wave of transformative AI technologies. The event features keynote addresses, panel discussions, live demos showcasing AI innovation, and networking sessions, providing attendees with valuable insights and opportunities to connect with professionals in the AI field. SuperAI aims to define the future of artificial intelligence and inspire engagement in the limitless possibilities of AI.

MachineCon 2024 is an exclusive gathering of analytics and artificial intelligence leaders, organized by AIM Research. The conference focuses on exploring cutting-edge AI technologies and innovative analytics solutions that are shaping the future of various industries. It provides a platform for top analytics leaders to learn, network, and do business, emphasizing the transformative potential of data and AI in driving competitive advantage and business transformation.

WienerAI is an innovative AI tool that offers daily staking rewards through the concept of a Wiener Dog. Users can join the presale to participate in this unique opportunity. The platform leverages artificial intelligence to provide staking rewards on a daily basis, creating an engaging and rewarding experience for participants. WienerAI combines the charm of Wiener Dogs with the benefits of AI technology, making it a one-of-a-kind platform in the cryptocurrency space.

The Intelligent Automation Leadership Community is an AI-powered platform that serves as a portal for RPA Master automation. It helps users plan, launch, and scale their process automation programs. The platform offers the latest AI and automation technology insights, inspiring success stories, and feasibility assessment for automation projects. Users can also get advice from online AI & Automation Advisor, participate in automation projects, and share their expertise within the community.

AI Summer is a repository focused on providing workshops and resources for developing foundational skills in generative AI models and transformer models. The repository offers practical applications for inferencing and training, with a specific emphasis on understanding and utilizing advanced AI chat models like BingGPT. Participants are encouraged to engage in interactive programming environments, decide on projects to work on, and actively participate in discussions and breakout rooms. The workshops cover topics such as generative AI models, retrieval-augmented generation, building AI solutions, and fine-tuning models. The goal is to equip individuals with the necessary skills to work with AI technologies effectively and securely, both locally and in the cloud.

The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

The AWS Healthcare and Life Sciences AI/ML Immersion Day workshops provide hands-on experience for customers to learn about AI/ML services, gain a deep understanding of AWS AI/ML services, and understand best practices for using AI/ML in the context of HCLS applications. The workshops cater to individuals at all levels, from machine learning experts to developers and managers, and cover topics such as training, testing, MLOps, deployment practices, and software development life cycle in the context of AI/ML. The repository contains notebooks that can be used in AWS Instructure-Led Labs or self-paced labs, offering a comprehensive learning experience for integrating AI/ML into applications.

LLM Zoomcamp is a free online course focusing on real-life applications of Large Language Models (LLMs). Over 10 weeks, participants will learn to build an AI bot capable of answering questions based on a knowledge base. The course covers topics such as LLMs, RAG, open-source LLMs, vector databases, orchestration, monitoring, and advanced RAG systems. Pre-requisites include comfort with programming, Python, and the command line, with no prior exposure to AI or ML required. The course features a pre-course workshop and is led by instructors Alexey Grigorev and Magdalena Kuhn, with support from sponsors and partners.

This repository contains the Python source code for FINMEM, a Performance-Enhanced Large Language Model Trading Agent with Layered Memory and Character Design. It introduces FinMem, a novel LLM-based agent framework devised for financial decision-making, encompassing three core modules: Profiling, Memory with layered processing, and Decision-making. FinMem's memory module aligns closely with the cognitive structure of human traders, offering robust interpretability and real-time tuning. The framework enables the agent to self-evolve its professional knowledge, react agilely to new investment cues, and continuously refine trading decisions in the volatile financial environment. It presents a cutting-edge LLM agent framework for automated trading, boosting cumulative investment returns.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

LLM-workshop-2024 is a tutorial designed for coders interested in understanding the building blocks of large language models (LLMs), how LLMs work, and how to code them from scratch in PyTorch. The tutorial covers topics such as introduction to LLMs, understanding LLM input data, coding LLM architecture, pretraining LLMs, loading pretrained weights, and finetuning LLMs using open-source libraries. Participants will learn to implement a small GPT-like LLM, including data input pipeline, core architecture components, and pretraining code.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

This repository showcases how to build a simple LLM-based chatbot for answering questions based on documents using retrieval augmented generation (RAG) technique. It also provides guidance on deploying the chatbot using Podman or on the OpenShift Container Platform. The workshop associated with this repository introduces participants to LLMs & RAG concepts and demonstrates how to customize the chatbot for specific purposes. The software stack relies on open-source tools like streamlit, LlamaIndex, and local open LLMs via Ollama, making it accessible for GPU-constrained environments.

This repository introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

RAGHack is a hackathon focused on building AI applications using the power of RAG (Retrieval Augmented Generation). RAG combines large language models with search engine knowledge to provide contextually relevant answers. Participants can learn to build RAG apps on Azure AI using various languages and retrievers, explore frameworks like LangChain and Semantic Kernel, and leverage technologies such as agents and vision models. The hackathon features live streams, hack submissions, and prizes for innovative projects.

Rakis is a decentralized verifiable AI network in the browser where nodes can accept AI inference requests, run local models, verify results, and arrive at consensus without servers. It is open-source, functional, multi-model, multi-chain, and browser-first, allowing anyone to participate in the network. The project implements an embedding-based consensus mechanism for verifiable inference. Users can run their own node on rakis.ai or use the compiled version hosted on Huggingface. The project is meant for educational purposes and is a work in progress.

CortexTheseus is a full node implementation of the Cortex blockchain, written in C++. It provides a complete set of features for interacting with the Cortex network, including the ability to create and manage accounts, send and receive transactions, and participate in consensus. CortexTheseus is designed to be scalable, secure, and easy to use, making it an ideal choice for developers building applications on the Cortex blockchain.

Large Language Models (LLM) are used to browse the Wolfram directory and associated URLs to create the category structure and good word embeddings. The goal is to generate enriched prompts for GPT, Wikipedia, Arxiv, Google Scholar, Stack Exchange, or Google search. The focus is on one subdirectory: Probability & Statistics. Documentation is in the project textbook `Projects4.pdf`, which is available in the folder. It is recommended to download the document and browse your local copy with Chrome, Edge, or other viewers. Unlike on GitHub, you will be able to click on all the links and follow the internal navigation features. Look for projects related to NLP and LLM / xLLM. The best starting point is project 7.2.2, which is the core project on this topic, with references to all satellite projects. The project textbook (with solutions to all projects) is the core document needed to participate in the free course (deep tech dive) called **GenAI Fellowship**. For details about the fellowship, follow the link provided. An uncompressed version of `crawl_final_stats.txt.gz` is available on Google drive, which contains all the crawled data needed as input to the Python scripts in the XLLM5 and XLLM6 folders.

Expert in amateur and professional radio communications.

Algorand blockchain expert assistant!

Learn more about New York City Charter

Assists with Nouns DAO auction, active proposals and general questions

Scrum Expert Bot for trainers & participants in Scrum training at A-Leecon GmbH

～スレッド形式で『マーケティング』について学べるンゴ～

Analyzes participants from page 1 of Zoom .pdfs

Provide a prompt followed by multiple participant responses from chatHub delimited by name, or a list of phrase pairs to combine.

This GPT is an amazing debate facilitator or participant on any topic! Practice debating. Recreate a famous debate with you as a participant. Use the AI as a moderator between you and another person. Have the AI debate itself. And more!

Crafts formal, engaging seminar descriptions to inspire teachers.

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