Best AI tools for< Show Reasoning Samples >

Show by Animaker is an AI-powered email marketing tool that helps businesses create personalized and engaging email campaigns. With Show, you can automate interactive email creation, define unlimited custom user journeys and audience segments, and track campaign performance with advanced analytics. Show also offers deliverability features such as in-built hard stops, deliverability alerts, and domain warm-up capabilities.

The Podcast Show Notes Generator is an AI-powered tool designed to help podcasters create engaging show notes quickly and efficiently. It offers features such as converting audio into concise summaries, auto-identifying distinct sections in audio, and generating detailed text transcripts. The tool aims to enhance accessibility, SEO, and audience engagement for podcasters by providing a user-friendly platform to streamline the show notes creation process.

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.

Undress AI Pro is a controversial computer vision application that uses machine learning to remove clothing from images of people. It was based on deep learning and generative adversarial networks (GANs). The technology powering Undress AI and DeepNude was based on deep learning and generative adversarial networks (GANs). GANs involve two neural networks competing against each other - a generator creates synthetic images trying to mimic the training data, while a discriminator tries to distinguish the real images from the generated ones. Through this adversarial process, the generator learns to produce increasingly realistic outputs. For Undress AI, the GAN was trained on a dataset of nude and clothed images, allowing it to "unclothe" people in new images by generating the nudity.

Anime AI is a user-friendly website that utilizes advanced AI technology to transform photos into stunning anime-style images or generate anime art from text prompts. With Anime AI, users can effortlessly unleash their creativity and share breathtaking anime creations without the need for drawing skills or AI knowledge. The platform offers a seamless experience for beginners and experienced users alike, allowing them to turn their imagination into reality in just a few seconds.

Algolia is an AI search tool that provides users with the results they need to see, category and collection pages built by AI, recommendations throughout the user journey, data-enhanced customer experiences through the Merchandising Studio, and insights in one dashboard with Analytics. It offers pre-built UI components for custom journeys and integrates with platforms like Adobe Commerce, BigCommerce, Commercetools, Salesforce CC, and Shopify. Algolia is trusted by various industries such as retail, e-commerce, B2B e-commerce, marketplaces, and media. It is known for its ease of use, speed, scalability, and ability to handle a high volume of queries.

Workdiary is a game-changing productivity website designed to help users seamlessly organize and streamline their work tasks, achievements, and goals. It offers features such as AI Integration, goal setting and tracking, project management, milestone celebration, career guidance, and badge collection. Users can utilize their personal OpenAI key to enhance project outcomes, track progress, and receive actionable guidance to advance in their careers. Workdiary aims to empower users to take control of their professional journey and shape their future with a tool that evolves with their needs.

MatchPhotos is an AI-powered application designed to help individuals enhance their dating profiles by generating realistic and high-quality photos. By utilizing custom-trained AI models, MatchPhotos transforms ordinary images into eye-catching photos that highlight the user's best features. The application offers a seamless process for users to upload their photos, have them analyzed and enhanced by AI, and then select their favorite shots for download. With MatchPhotos, users can stand out on dating apps without the need for professional photoshoots, expensive equipment, or recurring payments for premium accounts.

Text.Theater is an AI-powered Discord bot that simulates scenes from TV shows based on custom prompts. Users can request completely new scenes from their favorite TV shows, and the bot uses advanced language generation technology to create dialogue between the main characters, providing a unique and innovative experience for Discord users.

Minodor is an AI-powered SEO tool that helps you optimize your content for higher Google rankings. It provides you with an SEO rating for each segment of your content and offers guidance on how to improve your SEO. Minodor also includes a text editor, image generator, and external link suggestion tool, all in one platform.

LemonSpeak is an AI tool designed to automate content creation for podcast marketing. It helps podcasters save time by creating marketing content from their episodes, making them more discoverable and attractive on various platforms. The tool streamlines content creation with minimal interaction, offering features like transcript generation, subtitles, summaries, show notes, episode titles, tweets, blog posts, Q&A + polls, chapters, and quotes. LemonSpeak aims to revolutionize productivity in podcasting by providing a simple and efficient solution for content creation and promotion.

The website offers a fun and interactive tool that uses advanced AI to match users' facial features to popular characters from movies, TV shows, and games. Users can upload their photo, find their look-alike character, and even swap their face with the character's. The tool provides a unique way for users to discover characters they resemble and create shareable content for social media.

Luma Dream Machine is a cutting-edge AI tool that empowers users to ideate, visualize, and create stunning images and videos effortlessly. It offers a new fluid medium for creativity, enabling users to bring their wildest dreams to life with the help of powerful image and video AI models. The platform is designed to be intuitive and user-friendly, allowing users to explore endless ideas, make unique creations, and share their vision with the world. Luma Dream Machine is available on iOS and the Web, providing a seamless experience for creators of all levels.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Synthesis Tutor is an AI-powered math tutoring application designed for children aged 5-11. It offers personalized math learning experiences, immediate evaluation and adaptation, unlimited practice, and active engagement. The application aims to build deep understanding and confidence in math through a multisensory experience. Synthesis Tutor goes beyond rote memorization, empowering children to explore, understand, and excel in math. It provides 1-on-1 attention, fills gaps in knowledge, and offers immersive, engaging, and fun learning experiences.

Clipwing is an AI-powered video production tool that helps users create high-quality video content efficiently. With features like promo video generation, subtitles generation, and transcript generation, Clipwing enables users to save time and effort in producing engaging videos. The tool leverages AI technology to transcribe videos, identify key segments, and add dynamic subtitles. Clipwing supports various video formats and languages, making it a versatile solution for content creators looking to enhance their video marketing strategies.

Valentine Generator is an AI-powered tool that generates love letters for individuals who may struggle with expressing their romantic feelings. Users can input details such as the recipient, sender, and a keyword to personalize the generated message. The tool aims to assist users in conveying their emotions and creating heartfelt messages for their loved ones. Developed by Wonderful, the Valentine Generator offers a fun and creative way to celebrate love and connect with others.

Synthesis is an innovative educational platform designed for kids who seek to think independently and excel in math and problem-solving. Developed in collaboration with DARPA researchers, it offers a superhuman math tutor and collaborative games to enhance children's problem-solving and communication skills. Founded as part of the SpaceX school initiative, Synthesis aims to cultivate student voice, strategic thinking, and collaborative problem-solving abilities. The platform provides unique learning experiences to a global community, empowering students to develop essential skills for the future.

Swell AI is a powerful writing tool that uses artificial intelligence to help you create high-quality content for your podcast, blog, or website. With Swell AI, you can easily generate podcast show notes, transcripts, articles, summaries, titles, social media posts, and more. Swell AI is also a great tool for creating chatbots for your podcast episodes. With Swell AI, you can easily create a chatbot that can answer any question about your episode. Swell AI is easy to use and integrates with all of your favorite podcasting and content creation tools. Start using Swell AI today and see how it can help you create amazing content that will engage your audience and grow your business.

Bento is a personalized 'Link in Bio' platform that allows users to showcase all aspects of their creativity in one beautiful page. Users can display their videos, podcasts, newsletters, photos, paid products, streams, and calendar all in one place, eliminating the need for multiple links. Bento is designed for creatives to easily share their content with their audience and monetize their work. The platform is free to use and offers a unique link for each user to customize their page.

The Open-Reasoning-Tasks repository is a collaborative project aimed at creating a comprehensive list of reasoning tasks for training large language models (LLMs). Contributors can submit tasks with descriptions, examples, and optional diagrams to enhance LLMs' reasoning capabilities.

LLM Reasoners is a library that enables LLMs to conduct complex reasoning, with advanced reasoning algorithms. It approaches multi-step reasoning as planning and searches for the optimal reasoning chain, which achieves the best balance of exploration vs exploitation with the idea of "World Model" and "Reward". Given any reasoning problem, simply define the reward function and an optional world model (explained below), and let LLM reasoners take care of the rest, including Reasoning Algorithms, Visualization, LLM calling, and more!

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

AReaL (Ant Reasoning RL) is an open-source reinforcement learning system developed at the RL Lab, Ant Research. It is designed for training Large Reasoning Models (LRMs) in a fully open and inclusive manner. AReaL provides reproducible experiments for 1.5B and 7B LRMs, showcasing its scalability and performance across diverse computational budgets. The system follows an iterative training process to enhance model performance, with a focus on mathematical reasoning tasks. AReaL is equipped to adapt to different computational resource settings, enabling users to easily configure and launch training trials. Future plans include support for advanced models, optimizations for distributed training, and exploring research topics to enhance LRMs' reasoning capabilities.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

LlamaV-o1 is a Large Multimodal Model designed for spontaneous reasoning tasks. It outperforms various existing models on multimodal reasoning benchmarks. The project includes a Step-by-Step Visual Reasoning Benchmark, a novel evaluation metric, and a combined Multi-Step Curriculum Learning and Beam Search Approach. The model achieves superior performance in complex multi-step visual reasoning tasks in terms of accuracy and efficiency.

Speechless.AI is committed to integrating the superior language processing and deep reasoning capabilities of large language models into practical business applications. By enhancing the model's language understanding, knowledge accumulation, and text creation abilities, and introducing long-term memory, external tool integration, and local deployment, our aim is to establish an intelligent collaborative partner that can independently interact, continuously evolve, and closely align with various business scenarios.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

SWE-RL is the official codebase for the paper 'SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution'. It is the first approach to scale reinforcement learning based LLM reasoning for real-world software engineering, leveraging open-source software evolution data and rule-based rewards. The code provides prompt templates and the implementation of the reward function based on sequence similarity. Agentless Mini, a part of SWE-RL, builds on top of Agentless with improvements like fast async inference, code refactoring for scalability, and support for using multiple reproduction tests for reranking. The tool can be used for localization, repair, and reproduction test generation in software engineering tasks.

This repository provides a collection of tools and techniques for defending against injection attacks in software applications. It includes code samples, best practices, and guidelines for implementing secure coding practices to prevent common injection vulnerabilities such as SQL injection, XSS, and command injection. The tools and resources in this repository aim to help developers build more secure and resilient applications by addressing one of the most common and critical security threats in modern software development.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

This repository focuses on organizing resources for building synthetic datasets using large language models. It covers important datasets, libraries, tools, tutorials, and papers related to synthetic data generation. The goal is to provide pragmatic and practical resources for individuals interested in creating synthetic datasets for machine learning applications.

AlignBench is the first comprehensive evaluation benchmark for assessing the alignment level of Chinese large models across multiple dimensions. It includes introduction information, data, and code related to AlignBench. The benchmark aims to evaluate the alignment performance of Chinese large language models through a multi-dimensional and rule-calibrated evaluation method, enhancing reliability and interpretability.

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 repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

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Informative guide for judging classic cars in a virtual show.

Immersive character portrayals from 'Peep Show', grounded in script data

Diagram creation: flowcharts, mindmaps, UML, chart, PlotUML, workflow, sequence, ERD, database & architecture visualization for code, presentations and documentation. [New] Add a logo or any image to graph diagrams. Easy Download & Edit

Generates images hinting at 80s TV shows, keeping score for a guessing game.

I help you find a Show or Sporting Event on a Streaming Platform or Channel.

Insightful commentary on news, and current events, and your mom, by Beavis and Butthead

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Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.

Playful guide for a virtual dog show, creating and presenting imaginative dog breeds.

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Insights into TV show trends

Host a comedic game show of absurd inventions!

A movie and TV show , Songs & Books recommendation assistant for various streaming platforms.

Find Broadway show tickets in your city. Get latest recommendations and tips for UNFORGETTABLE musical experience.

Family-friendly game show host! Remembering your game choices and preferences, it creates personalized, fun-filled sessions, adapting to your group's dynamics. Always ready to host, it guarantees an interactive, immersive experience.

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