Best AI tools for< Implement Research Findings >

Papers With Code is an AI tool that provides access to the latest research papers in the field of Machine Learning, along with corresponding code implementations. It offers a platform for researchers and enthusiasts to stay updated on state-of-the-art datasets, methods, and trends in the ML domain. Users can explore a wide range of topics such as language modeling, image generation, virtual try-on, and more through the collection of papers and code available on the website.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

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.

Cue AI is an AI research lab dedicated to enhancing the capabilities of cutting-edge models. The lab is committed to pushing the boundaries of AI technology and innovation. While the website currently has limited information, it serves as a platform for sharing updates and developments in the field of artificial intelligence. For inquiries or collaborations, users can reach out via email at [email protected].

Nebius AI is an AI-centric cloud platform designed to handle intensive workloads efficiently. It offers a range of advanced features to support various AI applications and projects. The platform ensures high performance and security for users, enabling them to leverage AI technology effectively in their work. With Nebius AI, users can access cutting-edge AI tools and resources to enhance their projects and streamline their workflows.

Emerj is a leading provider of enterprise AI insights, research, and connections to the right AI tools and providers. We cover AI use-cases and impact in the world’s largest organizations. Our mission is to help businesses understand and implement AI to achieve their business goals.

Aiiot Talk is an AI tool that focuses on Artificial Intelligence, Robotics, Technology, Internet of Things, Machine Learning, Business Technology, Data Security, and Marketing. The platform provides insights, articles, and discussions on the latest trends and applications of AI in various industries. Users can explore how AI is reshaping businesses, enhancing security measures, and revolutionizing technology. Aiiot Talk aims to educate and inform readers about the potential of AI and its impact on society and the future.

K2 AI is an AI consulting company that offers a range of services from ideation to impact, focusing on AI strategy, implementation, operation, and research. They support and invest in emerging start-ups and push knowledge boundaries in AI. The company helps executives assess organizational strengths, prioritize AI use cases, develop sustainable AI strategies, and continuously monitor and improve AI solutions. K2 AI also provides executive briefings, model development, and deployment services to catalyze AI initiatives. The company aims to deliver business value through rapid, user-centric, and data-driven AI development.

The AI in Business Podcast is a platform designed for non-technical business leaders seeking AI opportunities, aligning AI capabilities with strategy, and achieving ROI. The podcast features interviews with top AI executives from Fortune 500 firms and unicorn startups, exploring trends, use-cases, and best practices for practical AI adoption.

GPT4oMini.app is an AI tool that offers free chat services powered by GPT-4o-mini. Users can ask any question and receive answers for free on the platform. The tool supports topological sorting in Go using generics and provides a simple implementation of a directed graph. It uses Depth-First Search (DFS) for topological sorting and detects cycles in the graph. GPT4oMini.app also offers assistance with various topics, including love, emoji representation, and adult website suggestions.

AI Mindset is a platform created by Conor Grennan that focuses on helping individuals and organizations understand and implement generative AI technologies. The platform offers insights, strategies, and news related to AI, along with training courses and resources to unlock the power of generative AI. Conor Grennan, a renowned expert in the field, has trained thousands of leaders and collaborated with prestigious organizations worldwide to drive innovation through AI solutions.

Mako AI is an AI-powered associate designed to revolutionize the workflows of investment firms by streamlining research, analysis, and drafting processes. It offers essential tools to simplify data access, safeguard information, and provide actionable insights. With features like enterprise search, chat capabilities, and a knowledge base, Mako AI centralizes institutional knowledge and ensures data security with SOC 2 Type II certification. The application is easy to implement, prioritizes security, and enhances collaboration within firms.

Inspect is an open-source framework for large language model evaluations created by the UK AI Safety Institute. It provides built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can explore various solvers, tools, scorers, datasets, and models to create advanced evaluations. Inspect supports extensions for new elicitation and scoring techniques through Python packages.

Prompt Storm is a powerful and easy-to-use Artificial Intelligence Chrome extension designed for ChatGPT, Google's Gemini, and Anthropic's Claude. It unlocks the potential of revolutionary AI technology by providing skillfully crafted prompts for various purposes such as acquiring new knowledge, enhancing productivity, developing marketing strategies, speeding up project development, and receiving expert advice. With Prompt Storm, users can unleash the power of AI to improve productivity and expand their knowledge base.

The C3.ai Digital Transformation Institute is a research consortium focused on accelerating the benefits of artificial intelligence for business, government, and society. It engages leading scientists in research related to the Science of Digital Transformation, which encompasses artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics. Established in March 2020, the institute consists of prominent institutions such as C3 AI, Microsoft Corporation, and various universities. The institute aims to drive innovation and collaboration in the field of AI and digital transformation.

Voicebot.ai is an AI-focused website that provides comprehensive information and insights on voice assistants, AI models, generative AI, and related technologies. The platform covers a wide range of topics such as smart speakers, voice shopping, healthcare voice assistants, and AI in marketing. It also offers reports, research, and best practices in the field of voice technology. Voicebot.ai aims to educate and inform its audience about the latest developments and trends in the AI industry.

Tübingen AI Center is a thriving hub for European AI, hosted by the Eberhard Karls University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems. It comprises 20 world-class machine learning research groups with more than 300 PhD students and Postdocs. The center fosters AI talents by offering education and hands-on experience from elementary school onwards. The Machine Learning Cloud at Tübingen AI Center provides cutting-edge AI research infrastructure, supporting collaborative work and large-scale simulations in ML. Funded by the Federal Ministry of Education and Research and the Ministry of Science, Research and Arts Baden-Württemberg.

Kenniscentrum Data & Maatschappij is a website dedicated to legal, ethical, and societal aspects of artificial intelligence and data applications. It provides insights, guidelines, and practical tools for individuals and organizations interested in AI governance and innovation. The platform offers resources such as policy documents, training programs, and collaboration cards to facilitate human-AI interaction and promote responsible AI use.

Seedbox is an AI-based solution provider that crafts custom AI solutions to address specific challenges and boost businesses. They offer tailored AI solutions, state-of-the-art corporate innovation methods, high-performance computing infrastructure, secure and cost-efficient AI services, and maintain the highest security standards. Seedbox's expertise covers in-depth AI development, UX/UI design, and full-stack development, aiming to increase efficiency and create sustainable competitive advantages for their clients.

Artificial Intelligence + is a comprehensive platform focusing on AI, Robotics, and IoT. It covers a wide range of topics related to artificial intelligence, including the dangers, impacts, and advancements in the field. The platform also delves into robotics, space exploration, and the intersection of AI with various industries. With a mix of articles, blogs, and expert insights, Artificial Intelligence + serves as a valuable resource for individuals interested in staying updated on the latest trends and developments in the AI landscape.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

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.

The NewEraAI-Papers repository provides links to collections of influential and interesting research papers from top AI conferences, along with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Users can stay up to date with the latest advances in AI research by exploring this repository. Contributions to improve the completeness of the list are welcomed, and users can create pull requests, open issues, or contact the repository owner via email to enhance the repository further.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

Moon Dev AI Agents for Trading is an experimental project exploring the potential of artificial financial intelligence for trading and investing research. The project aims to develop AI agents to complement and potentially replace human trading operations by addressing common trading challenges such as emotional reactions, ego-driven decisions, inconsistent execution, fatigue effects, impatience, and fear & greed cycles. The project focuses on research areas like risk control, exit timing, entry strategies, sentiment collection, and strategy execution. It is important to note that this project is not a profitable trading solution and involves substantial risk of loss.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

MIMIR is a Python package designed for measuring memorization in Large Language Models (LLMs). It provides functionalities for conducting experiments related to membership inference attacks on LLMs. The package includes implementations of various attacks such as Likelihood, Reference-based, Zlib Entropy, Neighborhood, Min-K% Prob, Min-K%++, Gradient Norm, and allows users to extend it by adding their own datasets and attacks.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

ICE-Score is a tool designed to instruct large language models to evaluate code. It provides a minimum viable product (MVP) for evaluating generated code snippets using inputs such as problem, output, task, aspect, and model. Users can also evaluate with reference code and enable zero-shot chain-of-thought evaluation. The tool is built on codegen-metrics and code-bert-score repositories and includes datasets like CoNaLa and HumanEval. ICE-Score has been accepted to EACL 2024.

ShieldLM is a bilingual safety detector designed to detect safety issues in LLMs' generations. It aligns with human safety standards, supports customizable detection rules, and provides explanations for decisions. Outperforming strong baselines, ShieldLM is impressive across 4 test sets.

llm-rankers is a repository that provides implementations for Pointwise, Listwise, Pairwise, and Setwise Document Ranking using Large Language Models. It includes various methods for reranking documents retrieved by a first-stage retriever, such as BM25. The repository offers examples and code snippets for using LLMs to improve document ranking performance in information retrieval tasks. Additionally, it introduces a new setwise reranker called Rank-R1 with reasoning ability.

Cherry Data Selection project introduces a self-guided methodology for LLMs to autonomously discern and select cherry samples from open-source datasets, minimizing manual curation and cost for instruction tuning. The project focuses on selecting impactful training samples ('cherry data') to enhance LLM instruction tuning by estimating instruction-following difficulty. The method involves phases like 'Learning from Brief Experience', 'Evaluating Based on Experience', and 'Retraining from Self-Guided Experience' to improve LLM performance.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

Improves product quality through innovative research and development.

Provides concise GC troubleshooting and method development advice that is easy to implement.

协助撰写《基于CNN网络的手写汉字识别》的毕业论文

Crafts advanced, 200+ line HLSL shaders with exotic and brilliant design.

Diseñador de actividades sobre métodos numéricos con aplicación de herramientas de inteligencia artificial.

Assists with Qiskit code and quantum computing concepts.

Sa tead kõike töökeskkonnast ja seadustest mis sellega kaasnevad

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

Versatile IoT expertise for advice, explanations, and troubleshooting

R&D security expert

Fun and scholarly insights into systems theory

Implement specific web applications based on sketches submitted by users

Your proactive virtual CTO, ready to implement requests

Assists in enhancing e-commerce sites for better conversions with tailored, easy-to-implement advice.

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Agente de IA especializado em Proteção de Dados

Guides users on Oracle EPM Cloud services and tasks.

Expert in Your ERP software, specializing in White Label contracts and implementation advice.

ISO27001およびISO/IEC 27002のベストプラクティスに精通したアドバイザー　Expert in ISO27001 and ISO/IEC 27002 best practices.

Japanese-first, young GCP expert with AI diagrams.