Best AI tools for< Solve Complex Puzzles >

OpenAI Strawberry Model is a cutting-edge AI initiative that represents a significant leap in AI capabilities, focusing on enhancing reasoning, problem-solving, and complex task execution. It aims to improve AI's ability to handle mathematical problems, programming tasks, and deep research, including long-term planning and action. The project showcases advancements in AI safety and aims to reduce errors in AI responses by generating high-quality synthetic data for training future models. Strawberry is designed to achieve human-like reasoning and is expected to play a crucial role in the development of OpenAI's next major model, codenamed 'Orion.'

Evervault is a flexible payments security platform that provides maximum protection with minimum compliance burden. It allows users to easily tokenize cards, optimize margins, comply with PCI standards, avoid gateway lock-in, and set up card issuing programs. Evervault is trusted by global leaders for securing sensitive payment data and offers features like PCI compliance, payments optimization, card issuing, network tokens, key management, and more. The platform enables users to accelerate card product launches, build complex card sharing workflows, optimize payment performance, and run highly sensitive payment operations. Evervault's unique encryption model ensures data security, reduced risk of data breach, improved performance, and maximum resiliency. It offers agile payments infrastructure, customizable UI components, cross-platform support, and effortless scalability, making it a developer-friendly solution for securing payment data.

Superbo is a digital enabler that empowers businesses to solve complex problems through the power of Conversational AI technology. Their innovative solutions and expert services help clients deliver effective, engaging conversational experiences that drive revenue growth and customer satisfaction. Superbo AI CX Ecosystem is the ultimate solution for businesses looking to revolutionize their customer interactions, providing personalized and efficient customer service 24/7. From chatbots to voice assistants, their flexible platform can be customized to fit specific needs and goals, helping to improve customer satisfaction, increase efficiency, and boost sales.

Andrew Roche AI is a powerful AI tool that revolutionizes how businesses interact with technology, enhancing productivity, driving innovation, and enabling informed decision-making. It significantly boosts efficiency and productivity by automating tasks, analyzing data, and providing actionable insights. The tool helps businesses reduce costs, optimize resource allocation, and personalize customer experiences. With AI, organizations can make strategic decisions, reduce expenses, expedite innovation, and stay competitive in a rapidly evolving landscape.

Imandra is a company that provides automated logical reasoning for Large Language Models (LLMs). Imandra's technology allows LLMs to build mental models and reason about them, unlocking the potential of generative AI for industries where correctness and compliance matter. Imandra's platform is used by leading financial firms, the US Air Force, and DARPA.

You.com is an AI tool designed for workplace productivity enhancement. It offers a deep research agent named ARI that can think, read, and analyze up to 400 sources to publish polished reports in under 5 minutes. The platform also provides features for marketing, sales, engineering, product data analysis, finance, and research, with industry-leading accuracy. Users can create custom agents and benefit from AI-powered solutions to solve complex challenges and transform ideas into visuals.

Camel AGI is a groundbreaking platform that revolutionizes the way artificial intelligence is utilized to solve complex tasks by employing a unique role-playing method inspired by loop architecture, similar to that of BabyAGI and AutoGPT. At its core, CamelAGI facilitates the collaboration between two autonomous AI agents, each assigned specific roles, to work synergistically towards accomplishing a designated task. This innovative approach allows users to observe as the agents, equipped with distinct capabilities and perspectives, engage in a dynamic and context-aware dialogue, effectively mirroring the collaborative efforts seen in human interactions.

Wolfram is a comprehensive platform that unifies algorithms, data, notebooks, linguistics, and deployment to provide a powerful computation platform. It offers a range of products and services for various industries, including education, engineering, science, and technology. Wolfram is known for its revolutionary knowledge-based programming language, Wolfram Language, and its flagship product Wolfram|Alpha, a computational knowledge engine. The platform also includes Wolfram Cloud for cloud-based services, Wolfram Engine for software implementation, and Wolfram Data Framework for real-world data analysis.

The OR Society is a professional membership body that supports the development of people working in operational research, data science, and analytics. The society provides a range of services to its members, including access to world-class journals, events and conferences, training courses, and pro bono opportunities. The OR Society also works to promote the use of operational research in all areas of industry, business, government, the community, and the third sector.

Cognitive Medium is a website that explores the intersection of artificial intelligence and human intelligence. The site features articles, interviews, and essays from leading thinkers in the field. Cognitive Medium's mission is to help people understand the potential of AI and to use it to create a better world.

Google DeepMind is an AI research company that aims to develop artificial intelligence technologies to benefit the world. They focus on creating next-generation AI systems to solve complex scientific and engineering challenges. Their models like Gemini, Veo, Imagen 3, SynthID, and AlphaFold are at the forefront of AI innovation. DeepMind also emphasizes responsibility, safety, education, and career opportunities in the field of AI.

Gauth is an AI-powered homework helper that provides step-by-step solutions to STEM problems. It utilizes advanced algorithms and AI technology to solve complex math, statistics, calculus, physics, chemistry, biology, and history questions. Gauth also offers live expert support, with thousands of real experts available 24/7 to provide detailed explanations and guidance. The app is designed to help students of all grades and levels conquer challenging homework problems and improve their understanding of STEM subjects.

Cognition is an applied AI lab that has developed Devin, a collaborative AI teammate designed to assist engineering teams in achieving more. Devin is the world's first AI software engineer, available for all engineering teams. The team behind Cognition comprises individuals with extensive experience in applied AI at top companies, and they are focused on building AI that can reason and solve complex problems.

Cheat Layer is a no-code business automation platform that leverages AI technology to solve complex automation problems. The platform utilizes a multi-modal model, Atlas-1, and a custom-trained version of GPT-4 to function as a personal AI team. Cheat Layer offers automations in simple language, robust targeting strategies, unlimited autoresponding, and no-code drag-drop interfaces for automating manual tasks. Users can automate various business processes efficiently and effectively.

The Intelligence Age website explores the advancements and implications of artificial intelligence in shaping the future of humanity. It discusses how AI can enhance human capabilities, solve complex problems, and lead to shared prosperity. The site delves into the history of technological progress, the potential of deep learning algorithms, and the transformative impact of AI on various aspects of society, such as healthcare, education, and scientific research. It emphasizes the need for responsible AI development to maximize benefits and mitigate risks in the Intelligence Age.

Terragentic is an AI-driven geospatial technology company that empowers sustainable resource management and transformative decision-making. They provide cutting-edge geospatial services, precise mapping, advanced data analytics, and innovative applications of artificial intelligence to solve complex challenges across diverse sectors. Terragentic is committed to environmental stewardship, ethical business practices, and delivering high-quality, AI-enhanced, accurate, and actionable geospatial intelligence to empower industries.

AI Native is a community-focused platform dedicated to demystifying artificial intelligence and making it accessible to everyone. They believe in the transformative power of AI to reshape industries, solve complex problems, and create a better future. Through events, podcasts, and discussions with industry leaders, AI Native aims to empower individuals and organizations to thrive in the age of AI by bridging the old world with new opportunities.

Tredence is a data science and AI services company that provides end-to-end solutions for businesses across various industries. The company's services include data engineering, data analytics, AI consulting, and machine learning operations (MLOps). Tredence has a team of experienced data scientists and engineers who use their expertise to help businesses solve complex data challenges and achieve their business goals.

Demand.io is a network of AI-driven, community-centric e-commerce applications that create social shopping experiences powered by artificial intelligence. The platform aims to help consumers shop smarter, save money, and connect with their passions by curating accurate e-commerce knowledge and delivering it through digital consumer apps and AI experiences. Demand.io leverages AI, decentralized community principles, and advanced engineering to solve complex problems and provide differentiated user value in the evolving landscape of e-commerce.

Milo is an AI-powered co-pilot for parents, designed to help them manage the chaos of family life. It uses GPT-4, the latest in large-language models, to sort and organize information, send reminders, and provide updates. Milo is designed to be accurate and solve complex problems, and it learns and gets better based on user feedback. It can be used to manage tasks such as adding items to a grocery list, getting updates on the week's schedule, and sending screenshots of birthday invitations.

Timefold Solver is an optimization engine evolved from OptaPlanner. Developed by the original OptaPlanner team, our aim is to free the world of wasteful planning.

The Smart Connections Visualizer Plugin is a tool designed to enhance note-taking and information visualization by creating dynamic force-directed graphs that represent connections between notes or excerpts. Users can customize visualization settings, preview notes, and interact with the graph to explore relationships and insights within their notes. The plugin aims to revolutionize communication with AI and improve decision-making processes by visualizing complex information in a more intuitive and context-driven manner.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

Репозиторий содержит информацию о применении искусственного интеллекта в разработке программного обеспечения. В частности, рассматриваются кейсы использования ChatGPT и других языковых моделей для автоматизации задач разработки, таких как написание кода, тестирование, рефакторинг и генерация документации.

QuantaLogic is a ReAct framework for building advanced AI agents that seamlessly integrates large language models with a robust tool system. It aims to bridge the gap between advanced AI models and practical implementation in business processes by enabling agents to understand, reason about, and execute complex tasks through natural language interaction. The framework includes features such as ReAct Framework, Universal LLM Support, Secure Tool System, Real-time Monitoring, Memory Management, and Enterprise Ready components.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework consists of MDP formulation, RICO algorithm with rollout and update stages, and reward normalization strategies to stabilize training. RAGEN aims to optimize reasoning and action strategies for LLM agents operating in complex environments.

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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework enables LLMs to reason and interact with the environment, optimizing entire trajectories for long-horizon reasoning while maintaining computational efficiency.

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An assistant to help you understand transfer learning better

A customized ChatGPT designed to excel in the field of synthetic biology, as a scientist, an engineer, and a business man

I develop and optimize algorithms with a technical and analytical approach.

Ubbe generates answers, not just advice. Designed for action, Ubbe adjusts its reasoning framework and tool use as your objective evolves, allowing you to solve even the most complex tasks.

In-depth tutor for complex and simple STEM queries with customizable learning paths

Uses common principles among Buddhism and Stoicism, within a complex adaptive system framework, to assist with decision making

Friendly math/science expert, making complex topics fun and accessible.

Unlocking clarity in complex ideas

Philosopher and ethical expert, I create intricate moral dilemmas to enhance critical thinking and decision-making skills. Guiding users through complex ethical scenarios, I foster deep introspection and diverse perspectives.

Highly capable, excels in processing complex tasks efficiently

A precise and reliable scientific calculator using Python for complex math operations.

Formal and professional in addressing complex, multifaceted issues.

Strategically aligns financial, logistical, and operational approaches, weaving innovative solutions into complex software development landscapes.

This version of AB is no longer being developed, the NEW version can be found at: https://chat.openai.com/g/g-WX9h4f6Lj-advisory-board Meet the ADVISORY BOARD v1.1! We're your personalized council of virtual experts designed to assist you in navigating through complex challenges and inquiries.

Discover FormicGPT, your strategic AI ally, inspired by 'Ender's Game' Formics. Expert in solving complex challenges with innovative, hive-mind insights. Elevate your strategies and decisions with FormicGPT's unparalleled intelligence

Ken Wilber thought specialist

Identify and explain mental models for various scenarios.