Best AI tools for< Attend Machine Learning Workshops >

AICamp is an AI application that offers live learning events, workshops, meetups, and seminars on various AI-related topics such as machine learning, data processing, generative AI, and more. It provides a platform for developers to share knowledge, practical experiences, and best practices in the field of AI and data science. AICamp aims to connect like-minded individuals globally and facilitate learning and networking opportunities in the AI community.

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.

The AI+X Summit is the largest event focusing on AI research, development, and application in the German-speaking part of Switzerland. The event covers various tracks and workshops on topics such as AI in finance, urban mobility, human-centered design, generative AI, responsible AI, AI for science, and more. It aims to bring together industry professionals, startups, academia, and a wider ecosystem to explore the latest advancements in artificial intelligence and its applications across different sectors.

The Global Blockchain Show is an annual event that brings together experts and enthusiasts in the blockchain and AI industries. The event features a variety of speakers, workshops, and exhibitions, and provides a platform for attendees to learn about the latest developments in these fields. The 2024 Global Blockchain Show will be held in Dubai, UAE, from April 16-17. The event will feature a keynote address from Sophia, the world's most famous humanoid robot, as well as presentations from other leading experts in the blockchain and AI fields. Attendees will also have the opportunity to network with other professionals in the industry and learn about the latest products and services from leading companies. The Global Blockchain Show is a must-attend event for anyone interested in the latest developments in blockchain and AI.

Open Data Science (ODS) is a community website offering a platform for data science enthusiasts to engage in tracks, competitions, hacks, tasks, events, and projects. The website serves as a hub for job opportunities and provides a space for privacy policy, service agreements, and public offers. ODS.AI, established in 2015, focuses on various data science topics such as machine learning, computer vision, natural language processing, and more. The platform hosts online and offline events, conferences, and educational courses to foster learning and networking within the data science community.

Climate Change AI is a community platform dedicated to leveraging artificial intelligence to address the challenges of climate change. The platform serves as a hub for researchers, practitioners, and policymakers to collaborate, share knowledge, and develop AI solutions for mitigating the impacts of climate change. By harnessing the power of AI technologies, Climate Change AI aims to accelerate the transition to a sustainable and resilient future.

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.

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.

AIM Research is a leading platform providing insights and analysis on the Artificial Intelligence industry. The website offers a comprehensive range of resources, including research reports, event coverage, news articles, and expert opinions. AIM Research focuses on highlighting the latest trends, innovations, and key players in the AI sector, catering to professionals, researchers, and enthusiasts seeking in-depth knowledge and understanding of AI technologies and applications.

AIScoop is a comprehensive platform that serves as the ultimate source for all things related to artificial intelligence. It offers up-to-date news, trends, information, and events within the AI industry, particularly focusing on the intersection of AI and the public sector. Backed by Scoop News Group's expertise in delivering top-notch AI content, AIScoop provides unparalleled coverage and exclusive insights into the rapidly evolving AI landscape.

The Intel Gaudi AI accelerator developer website provides resources, guidance, tools, and support for building, migrating, and optimizing AI models. It offers software, model references, libraries, containers, and tools for training and deploying Generative AI and Large Language Models. The site focuses on the Intel Gaudi accelerators, including tutorials, documentation, and support for developers to enhance AI model performance.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

Built In is an online community for startups and tech companies. Find startup jobs, tech news and events.

The AI Summit London is a premier event that celebrates commercial AI applications, bringing together technologists and business professionals to explore real-world AI implementations. The event offers unparalleled learning opportunities, deep-dive discovery, and extensive networking with heavyweight speakers. Attendees can expect to engage with cutting-edge AI demos, immersive fringe features, and VIP experiences, all aimed at accelerating their AI journey and transforming theoretical discussions into practical and profitable applications.

Scout is an AI-powered platform that focuses on community-centered recruiting. It connects professionals with job opportunities and helps companies find the right talent faster. With over 5 million visitors and 10,000+ recruiters on the platform, Scout offers customized solutions, bias-free AI processes, and support teams to optimize the hiring process. The platform leverages AI, data-driven insights, and adaptive systems to ensure better fits and faster discovery of talent. Scout is trusted by thousands of organizations for its innovative approach to recruiting.

O'Reilly Media is an AI-powered platform offering technology and business training for individuals, businesses, government, and higher education institutions. With over 5,000 companies relying on their digital courses, O'Reilly provides resources to upskill teams in tools and technologies driving business outcomes. The platform features courses, certifications, interactive learning, live events, and insights reporting. O'Reilly leverages generative AI tools and large language models to help employees stay ahead in their tech careers. The platform also offers diversity scholarships and awards to promote inclusivity and recognize excellence in technical learning. With a history of over 40 years, O'Reilly has been sharing knowledge through books, tech conferences, and online learning content.

AiThority.com is a platform that covers AI technology news, editorial insights, and digital marketing trends from around the globe. It provides updates on modern marketing tech adoption, AI interviews, tech articles, and events related to artificial intelligence. The website aims to keep its audience informed about the latest advancements and applications of AI in various industries.

No Jitter is an AI application that provides insights for the Connected Enterprise. It covers a wide range of technology topics including AI & Speech Technologies, Cloud Communications, Contact Center/Customer Experience, and more. The website offers news, views, best practices, digital resources, and events related to enterprise communications. No Jitter aims to keep professionals updated on the latest trends and developments in the field of technology and communication.

FedScoop is a website providing Federal Government Tech News, Breaking Govt IT News. It covers topics such as modernization, cybersecurity, AI, emerging tech, policy, and workforce. The site offers special reports, events, podcasts, and videos to keep readers informed about the latest developments in the government technology sector.

Global Fintech Series is a comprehensive platform that covers top finance technology news, editorial insights, and digital marketing trends from around the world. It provides relevant updates on modern Fintech adoption through Fintech interviews, tech articles, and events.

This repository contains a comprehensive list of various summer schools and winter schools in the field of artificial intelligence, machine learning, medical imaging, and healthcare. It provides detailed information about upcoming events, including the name, venue, date, deadline, organizers, fees, and scholarship details. The repository aims to share opportunities with the community and aspiring AI researchers/engineers, data scientists.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, Tensorflow, XGBoost, MPI, Paddle and others. Training Operator allows you to use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs or using Training Operator Python SDK. > Note: Before v1.2 release, Kubeflow Training Operator only supports TFJob on Kubernetes. * For a complete reference of the custom resource definitions, please refer to the API Definition. * TensorFlow API Definition * PyTorch API Definition * Apache MXNet API Definition * XGBoost API Definition * MPI API Definition * PaddlePaddle API Definition * For details of all-in-one operator design, please refer to the All-in-one Kubeflow Training Operator * For details on its observability, please refer to the monitoring design doc.

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports Hyperparameter Tuning, Early Stopping and Neural Architecture Search. Katib is the project which is agnostic to machine learning (ML) frameworks. It can tune hyperparameters of applications written in any language of the users’ choice and natively supports many ML frameworks, such as TensorFlow, Apache MXNet, PyTorch, XGBoost, and others. Katib can perform training jobs using any Kubernetes Custom Resources with out of the box support for Kubeflow Training Operator, Argo Workflows, Tekton Pipelines and many more.

Elyra is a set of AI-centric extensions to JupyterLab Notebooks that includes features like Visual Pipeline Editor, running notebooks/scripts as batch jobs, reusable code snippets, hybrid runtime support, script editors with execution capabilities, debugger, version control using Git, and more. It provides a comprehensive environment for data scientists and AI practitioners to develop, test, and deploy machine learning models and workflows efficiently.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

TokenFormer is a fully attention-based neural network architecture that leverages tokenized model parameters to enhance architectural flexibility. It aims to maximize the flexibility of neural networks by unifying token-token and token-parameter interactions through the attention mechanism. The architecture allows for incremental model scaling and has shown promising results in language modeling and visual modeling tasks. The codebase is clean, concise, easily readable, state-of-the-art, and relies on minimal dependencies.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

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.

Welcome to the μLearn x Pathway Initiative, an exciting adventure into the world of Artificial Intelligence (AI)! This comprehensive course, developed in collaboration with Pathway, will empower you with the knowledge and skills needed to navigate the fascinating world of AI, with a special focus on Large Language Models (LLMs).

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

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Career assistant for IBP students and graduates.

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Use a library terminal to explore the culture of an alternate world.

2024 Korean Brand Awards 를 수상하고 싶은 개인, 기업, 유공자분들에게 정보를 드리기 위해 준비한 공간입니다.

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