Best AI tools for< Improve Reasoning Capabilities >

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.'

LangChain is an AI tool that offers a suite of products supporting developers in the LLM application lifecycle. It provides a framework to construct LLM-powered apps easily, visibility into app performance, and a turnkey solution for serving APIs. LangChain enables developers to build context-aware, reasoning applications and future-proof their applications by incorporating vendor optionality. LangSmith, a part of LangChain, helps teams improve accuracy and performance, iterate faster, and ship new AI features efficiently. The tool is designed to drive operational efficiency, increase discovery & personalization, and deliver premium products that generate revenue.

Image In Words is a generative model designed for scenarios that require generating ultra-detailed text from images. It leverages cutting-edge image recognition technology to provide high-quality and natural image descriptions. The framework ensures detailed and accurate descriptions, improves model performance, reduces fictional content, enhances visual-language reasoning capabilities, and has wide applications across various fields. Image In Words supports English and has been trained using approximately 100,000 hours of English data. It has demonstrated high quality and naturalness in various tests.

Robot Writers AI is an artificial intelligence tool that automates writing tasks. It offers advanced AI engines like ChatGPT-4o, enabling users to interact with AI personalities, generate content, interpret voice, video, and text in real-time, and more. The tool aims to enhance the writing process by providing faster response times, increased reasoning capabilities, and improved user experience. With features like video interaction, voice-to-voice communication, and a desktop app, Robot Writers AI is revolutionizing the writing industry by leveraging cutting-edge AI technology.

Alan AI is an advanced conversational AI platform that offers a wide range of AI solutions for various industries. It simplifies tasks, enhances business operations, and empowers sales strategies through AI technology. The platform provides features like question answering, semantic search, reporting, private data sources, and context awareness. With a focus on actionable AI, Alan AI aims to redefine learning and streamline decision-making processes. It offers a comprehensive suite of tools for developers, including technology architecture overview, integration, deployment, and analytics. Alan AI stands out for its innovative approach to AI reasoning, transparency, and control, making it a valuable asset for organizations seeking to leverage AI capabilities.

Rainbird Decision Intelligence is an AI-powered platform that automates complex decision-making processes with trust and explainability. It leverages advanced reasoning engines to bridge data and processes, ensuring reliable and traceable AI-powered decisions. Rainbird is used across various industries such as banking, financial services, healthcare, legal, and insurance to streamline operations and enhance decision-making capabilities.

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

GPT-4o is a state-of-the-art AI model developed by OpenAI, capable of processing and generating text, audio, and image outputs. It offers enhanced emotion recognition, real-time interaction, multimodal capabilities, improved accessibility, and advanced language capabilities. GPT-4o provides cost-effective and efficient AI solutions with superior vision and audio understanding. It aims to revolutionize human-computer interaction and empower users worldwide with cutting-edge AI technology.

Debate AI is an AI-powered platform designed to enhance users' critical thinking and argumentation skills. It provides insights, feedback, and personalized advice to help individuals master the art of debate. By leveraging AI technology, Debate AI offers a unique opportunity for users to engage in meaningful discussions, improve reasoning skills, and gain confidence in articulating ideas effectively. Whether you are a professional debater, university student, aspiring politician, high school debater, or public speaking coach, Debate AI aims to revolutionize the way you approach debates and communication.

d-Matrix is an AI tool that offers ultra-low latency batched inference for generative AI technology. It introduces Corsair™, the world's most efficient AI inference platform for datacenters, providing high performance, efficiency, and scalability for large-scale inference tasks. The tool aims to transform the economics of AI inference by delivering fast, sustainable, and scalable AI solutions without compromising on speed or usability.

Socratify is an AI tool designed for professionals, students, and curious minds to sharpen their debating skills. It offers curated business stories, challenges users with AI, provides personalized feedback, and encourages daily practice in just 5 minutes. Users can enhance decision-making, explore real business situations, and improve critical thinking through active learning. Socratify aims to upgrade how humans think and learn by leveraging AI technology.

Nuance is a Conversational AI platform specializing in Healthcare and Customer Engagement. It offers AI solutions and services that transform the way organizations work, connect, and interact with others. Nuance provides industry-leading AI technology and deep vertical expertise to address challenges and accelerate business results, from healthcare solutions to customer engagement. The platform aims to amplify users' ability to help others and advance the effectiveness of organizations, ultimately making a positive impact on the world.

Brainy Buddy is an AI learning companion designed to assist users in enhancing their reasoning skills. It leverages artificial intelligence technology to provide personalized learning experiences and improve cognitive abilities. With Brainy Buddy, users can engage in interactive activities and challenges that stimulate critical thinking and problem-solving. The platform offers a diverse range of educational resources and tools to support continuous learning and skill development. Whether you are a student looking to boost academic performance or an individual seeking to sharpen your cognitive skills, Brainy Buddy is your go-to AI companion for intellectual growth and development.

Lecturio is an award-winning, AI-powered, all-in-one study tool designed for medical and nursing students. It offers comprehensive learning content, personalized tutoring, and resources for various medical and nursing courses, exams, and specialties. Lecturio integrates evidence-based learning tools and strategies to enhance students' study routines and exam performance. The platform aims to help students achieve mastery of medical and nursing concepts through innovative teaching methods and advanced technology.

Chima is an AI tool that is revolutionizing the enterprise landscape by offering Complex Human Reasoning Systems powered by AI. It automates various functions, enhances customer targeting, and improves business operations. Chima ensures industry-grade security and compliance, making it a reliable choice for enterprises looking to leverage AI for growth and efficiency.

Ferhat Erata is an AI application developed by a Computer Science PhD graduate from Yale University. The application focuses on training transformers to solve NP-complete problems using reinforcement learning and improving test-time compute strategies for reasoning. It also explores learning randomized reductions and program properties for security, privacy, and side-channel resilience. Ferhat Erata is currently an Applied Scientist at the Automated Reasoning Group at AWS, working on Neuro-Symbolic AI to prevent factual errors caused by LLM hallucinations using mathematically sound Automated Reasoning checks.

Tutorly is an AI-powered tutoring platform that offers personalized quiz questions, interactive verbal reasoning exercises, and tailored feedback to enhance the learning experience. Users can choose from a selection of premade tutors or provide custom instructions, upload notes, chat with the tutor, and ask unlimited questions to get instant, accurate answers. With flexible pricing plans and access to beta gamemodes, Tutorly aims to revolutionize the way students learn beyond limits.

Tactic is an AI-powered platform that provides generative insights and solutions for customers by leveraging AI technology to generate target accounts unique to businesses and new customer insights from various data sources. It offers features such as no-code custom AI builder, process automation, multi-step reasoning, model agnostic data import, and simple user experience. Tactic is trusted by hypergrowth startups and Fortune 500 companies for market research, audience automation, and customer data management. The platform helps users increase revenue, save time on research and analysis, and close more deals efficiently.

AI MathGPT is an AI-powered math tutoring tool designed to assist students and parents with math homework. It offers advanced reasoning, step-by-step solutions, and clear explanations for challenging math problems. The tool aims to boost math performance, provide 24/7 support, and enhance math learning experiences for users of all levels.

Everseen is an AI platform that offers a comprehensive suite of tools for data collection, contextualization, insight discovery, process modeling, video translation, AI reasoning, model engineering, continuous learning, governance, and more. It is designed to help businesses in the retail industry prevent losses, accelerate sales, protect inventory, improve product availability, and ensure process integrity. Everseen's Vision AI Factory supports hyper-scaled applications with value assurance and governance at its core, enabling users to combat retail shrink threats effectively.

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.

The Awesome-Neuro-Symbolic-Learning-with-LLM repository is a curated collection of papers and resources focusing on improving reasoning and planning capabilities of Large Language Models (LLMs) and Multi-Modal Large Language Models (MLLMs) through neuro-symbolic learning. It covers a wide range of topics such as neuro-symbolic visual reasoning, program synthesis, logical reasoning, mathematical reasoning, code generation, visual reasoning, geometric reasoning, classical planning, game AI planning, robotic planning, AI agent planning, and more. The repository provides a comprehensive overview of tutorials, workshops, talks, surveys, papers, datasets, and benchmarks related to neuro-symbolic learning with LLMs and MLLMs.

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.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

The Awesome-System2-Reasoning-LLM repository is dedicated to a survey paper titled 'From System 1 to System 2: A Survey of Reasoning Large Language Models'. It explores the development of reasoning Large Language Models (LLMs), their foundational technologies, benchmarks, and future directions. The repository provides resources and updates related to the research, tracking the latest developments in the field of reasoning LLMs.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

FuseAI is a repository that focuses on knowledge fusion of large language models. It includes FuseChat, a state-of-the-art 7B LLM on MT-Bench, and FuseLLM, which surpasses Llama-2-7B by fusing three open-source foundation LLMs. The repository provides tech reports, releases, and datasets for FuseChat and FuseLLM, showcasing their performance and advancements in the field of chat models and large language models.

R1-searcher is a tool designed to incentivize the search capability in large reasoning models (LRMs) via reinforcement learning. It enables LRMs to invoke web search and obtain external information during the reasoning process by utilizing a two-stage outcome-supervision reinforcement learning approach. The tool does not require instruction fine-tuning for cold start and is compatible with existing Base LLMs or Chat LLMs. It includes training code, inference code, model checkpoints, and a detailed technical report.

The repository 'Awesome LLM Reasoning Openai-o1 Survey' provides a collection of survey papers and related works on OpenAI o1, focusing on topics such as LLM reasoning, self-play reinforcement learning, complex logic reasoning, and scaling law. It includes papers from various institutions and researchers, showcasing advancements in reasoning bootstrapping, reasoning scaling law, self-play learning, step-wise and process-based optimization, and applications beyond math. The repository serves as a valuable resource for researchers interested in exploring the intersection of language models and reasoning techniques.

**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

This repository contains a curated list of papers focusing on the self-correction of large language models (LLMs) during inference. It covers various frameworks for self-correction, including intrinsic self-correction, self-correction with external tools, self-correction with information retrieval, and self-correction with training designed specifically for self-correction. The list includes survey papers, negative results, and frameworks utilizing reinforcement learning and OpenAI o1-like approaches. Contributions are welcome through pull requests following a specific format.

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**

STILL is an open-source project exploring slow-thinking reasoning systems, focusing on o1-like reasoning systems. The project has released technical reports on enhancing LLM reasoning with reward-guided tree search algorithms and implementing slow-thinking reasoning systems using an imitate, explore, and self-improve framework. The project aims to replicate the capabilities of industry-level reasoning systems by fine-tuning reasoning models with long-form thought data and iteratively refining training datasets.

This repository is dedicated to enhancing Language Model (LLM) reasoning with reinforcement learning (RL). It includes a collection of the latest papers, slides, and materials related to RL-based LLM reasoning, aiming to facilitate quick learning and understanding in this field. Starring this repository allows users to stay updated and engaged with the forefront of RL-based LLM reasoning.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

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.

海龜湯是訓練邏輯推理與MECE的好遊戲，透過「是」、「不是」或「無關」得到線索，拼湊出完整的劇情。如果太過困難，可以說「你贏了」

Stephen Toulmin’s Theory of Argumentation. FIRST TIME? Start with "Good morning!" PRIMEIRA VEZ? Comece com um "Bom dia!"

A logician with a witty and gentlemanly demeanor.

Analyzes texts for logical fallacies and rhetorical tricks

如名所示，我帮你核查事实性信息，分析逻辑谬误，训练并增强你的批判性思维肌肉。

Helps user learn essential vocabulary for GRE test with multiple choice questions

I identify flaws in debates and outline reasoning errors.

Grades op-eds on reasoning, fair engagement, and open-mindedness.

Articulate, precise mentor employing the Socratic method & Batesonian reasoning to find solution to issues (updated on 10 Jan 24)

I provide consistent age guesses and reasons from photos.

Prompt Engineer automatically enhances the prompt, autonomously reasons based on that prompt, and generates exceptional responses.

Helps thinking from first principles

Gives you tips and suggestions on how you can improve your application for your users.

Upload a screenshot of your Tinder profile to improve it and get feedback

Improve your Ideas with First Principles Thinking

Offers exercises and techniques to improve memory retention and cognitive functions.

Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!

Improve your physical & mental health

Analyzes customer churn and provides strategies to improve loyalty and retention.

Improve your curriculum telling chatgpt your cv and the desired job