Best AI tools for< Explore Learning Strategies >

TWIML is a platform that provides intelligent content focusing on Machine Learning and Artificial Intelligence technologies. It offers podcasts, articles, and resources to practitioners, innovators, and leaders, giving insights into the present and future of ML & AI. The platform covers a wide range of topics such as deep reinforcement learning, fusion energy production, data-centric AI, responsible AI, and machine learning platform strategies.

Techstrong Learning is an AI-powered platform that hosts various virtual and in-person events focusing on technology, innovation, and enterprise development. The platform aims to bring together professionals from diverse backgrounds to explore the transformative impact of AI across different business landscapes. With a special focus on enterprise, DevOps, and AI development, Techstrong Learning offers a holistic learning experience through conferences, summits, and virtual events. Participants gain valuable insights into leveraging AI for decision-making, cost efficiency, and customer engagement, equipping them with strategic knowledge to navigate the future of AI-driven business dynamics.

EnterpriseAI is an advanced computing platform that focuses on the intersection of high-performance computing (HPC) and artificial intelligence (AI). The platform provides in-depth coverage of the latest developments, trends, and innovations in the AI-enabled computing landscape. EnterpriseAI offers insights into various sectors such as financial services, government, healthcare, life sciences, energy, manufacturing, retail, and academia. The platform covers a wide range of topics including AI applications, security, data storage, networking, and edge/IoT technologies.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

3pi.ai is a conversational AI platform that helps businesses build and deploy AI-powered chatbots and virtual assistants. It provides a range of features to help businesses create engaging and informative chatbots, including natural language processing, machine learning, and a drag-and-drop interface. 3pi.ai's chatbots can be used to automate customer service, sales, and marketing tasks, and can be deployed on a variety of platforms, including websites, messaging apps, and social media.

Kavout is an AI-powered financial research assistant that provides investors with data-driven insights and cutting-edge technology to help them make informed investment decisions. The platform offers a range of features, including natural language search, stock screening, portfolio analysis, and personalized recommendations. Kavout's AI algorithms adapt to each user's unique investment style, providing tailored insights and guidance.

Juan Beltrán is a website that offers AI applications and consulting services. The website provides a range of AI tools, including a LinkedIn lead generation tool, a LinkedIn profile optimizer, and a lead researcher tool. The website also offers a blog with articles on AI business transformation, AI use cases, and AI in the workplace. The website is designed to help businesses unlock the potential of AI and achieve exponential growth.

Buzz4AI is a platform that provides a curated list of AI tools, software, and research to help businesses enhance strategies, optimize workflow, and stay ahead in the rapidly evolving field of artificial intelligence. The platform offers a wide range of AI solutions for various business needs, including cold email software, DDoS protection software, learning management systems, payroll software, biometric attendance software, and more. Buzz4AI aims to empower users with up-to-date and secure information, interactive tool comparison, community-driven reviews, and the latest AI tools to revolutionize industries with cutting-edge capabilities and advancements.

Sympher AI offers a suite of easy-to-use AI apps for everyday tasks. These apps are designed to help users save time, improve productivity, and make better decisions. Some of the most popular Sympher AI apps include: * **MeMyselfAI:** This app helps users create personalized AI assistants that can automate tasks, answer questions, and provide support. * **Screenshot to UI Components:** This app helps users convert screenshots of UI designs into code. * **User Story Generator:** This app helps project managers quickly and easily generate user stories for their projects. * **EcoQuery:** This app helps businesses assess their carbon footprint and develop strategies to reduce their emissions. * **SensAI:** This app provides user feedback on uploaded images. * **Excel Sheets Function AI:** This app helps users create functions and formulas for Google Sheets or Microsoft Excel. * **ScriptSensei:** This app helps users create tailored setup scripts to streamline the start of their projects. * **Flutterflow Friend:** This app helps users answer their Flutterflow problems or issues. * **TestScenarioInsight:** This app generates test scenarios for apps before deploying. * **CaptionGen:** This app automatically turns images into captions.

XaslarBet is an AI betting tips platform that provides advanced trained models for NBA player props and football picks. The platform offers free AI sports tools using predictive analytics and machine learning algorithms to enhance the betting experience. XaslarBet focuses on player performances and historical data to deliver accurate picks across various sports markets, including basketball, baseball, and cricket. The platform aims to revolutionize the betting landscape by offering real-time AI sports predictions for both newcomers and seasoned bettors.

8VDX is an AI application that offers fine-tuned AI models for credit funds, empowering users to make data-driven decisions in the realm of credit investing. The platform enhances speed, accuracy, and strategic depth across various financial instruments like bonds, private credit, and CLOs. By leveraging AI technology, 8VDX streamlines the investment analysis process, automates bond screening, and provides continuous learning from surveillance to optimize investment strategies.

Strictly is an AI tool designed for service businesses to create and optimize websites, deploy AI chatbots, and improve SEO strategies. It offers fast website creation, AI chatbots for customer service and sales, one-click SEO optimization, and AI assistance for learning and decision-making. Strictly.ai aims to help businesses attract more customers, increase revenue, and improve search presence by leveraging AI technology.

Zipscore.ai is an AI-powered platform that offers advanced data analytics solutions for businesses. It leverages machine learning algorithms to analyze large datasets and extract valuable insights to drive informed decision-making. The platform is designed to help companies optimize their operations, improve customer engagement, and enhance overall performance through data-driven strategies. With Zipscore.ai, users can easily visualize complex data, identify trends, and predict future outcomes, empowering them to stay ahead in today's competitive market.

Dan Rose AI is a platform focused on applied artificial intelligence, providing insights and strategies on how AI can be utilized in the present time for real value. The website features blog posts, speaking engagements, and consulting services related to AI applications and strategies. Dan Rose Johansen, the founder, emphasizes practical approaches to AI implementation and its strategic use.

SurferPips is a best-in-class trading robot for forex that provides unmatched AI precision and wealth growth. It is designed to be the ultimate all-in-one trading success tool, offering a range of features such as fully automated trading, customizable risk, and access to ready-to-use strategies. SurferPips is trusted by over 500 successful traders and entrepreneurs and has been recognized as the #1 bot performer of the year.

Alchemyze is an AI-driven investment platform that provides hedge fund quality insights and comprehensive stock analysis to empower investors with smarter investment strategies. The platform leverages cutting-edge technology and machine learning algorithms to democratize market intelligence, making top-tier insights accessible to all investors. Alchemyze offers powerful features such as comprehensive stock grades, advanced insights, total access to top-rated stocks, weekly picks, custom portfolios, market insights, and stock screener capabilities. With over 500 graded features and a unique Aurum Engine scoring system, Alchemyze enables users to make personalized and strategic investment decisions based on accurate data and tailored grading formulas.

Technology Magazine is a leading platform covering the latest trends and innovations in the technology sector. It provides in-depth articles, interviews, and videos on topics such as AI, machine learning, cloud computing, cybersecurity, digital transformation, and data analytics. The magazine aims to connect the global community of enterprise IT and technology executives by offering insights into the digital journey and showcasing top companies and industry leaders.

Gradient Insight is a data science consulting and AI solutions provider. They offer a range of services including generative AI development, machine learning, computer vision, robotics and automation, AI strategy and roadmap, and data analytics. Their team of expert data scientists helps businesses to de-risk their investment in AI and to overcome barriers to engineering innovation. Gradient Insight has worked with clients such as Opitas, a fintech company, and the UK MOD. They offer a smooth and efficient process from consultation to delivery, and ongoing support and improvement.

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.

AGENT is an AI chatbot powered by OpenAI and Anthropic, designed to handle customer inquiries, qualify leads, and enhance customer engagement. Developed by I Need Leads Ltd, AGENT combines advanced natural language processing, intelligent chatbots, and machine learning to empower businesses of all sizes in generating and managing leads efficiently. The platform adapts, learns, and grows with businesses, ensuring they stay ahead in the competitive digital landscape.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.

Flower is a framework for building federated learning systems. It is designed to be customizable, extensible, framework-agnostic, and understandable. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

Odyssey is a framework designed to empower agents with open-world skills in Minecraft. It provides an interactive agent with a skill library, a fine-tuned LLaMA-3 model, and an open-world benchmark for evaluating agent capabilities. The framework enables agents to explore diverse gameplay opportunities in the vast Minecraft world by offering primitive and compositional skills, extensive training data, and various long-term planning tasks. Odyssey aims to advance research on autonomous agent solutions by providing datasets, model weights, and code for public use.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

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.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Awesome_GPT_Super_Prompting is a repository that provides resources related to Jailbreaks, Leaks, Injections, Libraries, Attack, Defense, and Prompt Engineering. It includes information on ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, and Adversarial Machine Learning. The repository contains curated lists of repositories, tools, and resources related to GPTs, prompt engineering, prompt libraries, and secure prompting. It also offers insights into Cyber-Albsecop GPT Agents and Super Prompts for custom GPT usage.

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.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

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.

Engaging guide to discover your unique learning style with interactive and adaptive scenarios.

Interaktiver KI-Online-Kurs: 1. Gib hier ein beliebiges Fußballthema ein, z.B. Kopfballtraining, Lieblingsverein oder -spieler 2. Besuche aiMOOC.org und trage deinen Titel in das Eingabefeld ein. 3. Füge den generierten GPT-Text ein und speichere ihn.

You made it, Creator! 💡 I'm Creator's Guide. ✨️ Your dedicated Guide for creating responsible, self-managing AI culture, systems, games, universes, art, etc. 🚀

A channel for learning about Foresighting, including models, processes, and approaches.

Summarizes, explains, and guides through RL and Spinning Up.

Explore theology, Bible studies, and the Christian faith through deep discussions on God, Jesus, scripture, and philosophy. Engage in simulated theologian talks, in-depth theological teachings, and interactive biblical learning.

An expert in archaeology and ancient civilizations, offering immersive learning experiences.

Comprehensive quantum physics and cosmology exploration tool with simulations, problem-solving, and interactive learning.

Articulates E-Learning FAB

Your Gateway to AI Discovery – Ask, Compare, Learn. Explore AI tools and software with ease. Create AI Tech Stacks for your business and much more – Just ask, and AI Hub will do the rest!

Designed for native-ish chinese speakers

Dynamic learning guide, fostering curiosity and intellectual growth.

Engaging educational philosopher for dynamic learning dialogue

Friendly, interactive encyclopedia with gamified learning and diverse topics

Interactive art guide, enriching learning with questions and tips.

Explores recent developments in AI, including Sam Altman's reinstatement as OpenAI CEO.

In-depth atheism discussions with debates, experiments, and learning paths

Facilitates learning foreign words with visual mnemonics

Expands queries with tangential insights

A witty yet succinct guide for HuggingFace, offering technical assistance on using the platform - based on their Learning Hub