Best AI tools for< Model Thinking >

PG's Principles is an AI Mentor application that provides responses based on the principles advocated by Paul Graham in his essays. It aims to help users make decisions by modeling their thinking after the renowned figure. The tool offers guidance and insights inspired by Graham's philosophies, offering a unique approach to decision-making.

FunBlocks is an AI reading and writing assistant application that aims to unleash users' full potential by providing a suite of AI-powered tools for brainstorming, writing, reading, and creating presentations. It offers features such as AI Flow for creativity enhancement, AI Extension for boosting efficiency, and AI Writer and AI Slides for content creation. Users can benefit from personalized AI solutions, seamless collaboration ecosystem, and innovative prompts tailored to their needs. FunBlocks caters to various user roles, including students, content creators, researchers, and professionals, by offering a comprehensive support system for knowledge work.

Engage in thought-provoking debates with AI Debate Competitions. Enter the arena of ideas, where every perspective matters. Prepare to challenge and be challenged as you delve into discussions powered by advanced AI technology. Choose from a variety of debate models and languages to tailor your experience. With AI Debate Competitions, you can hone your critical thinking skills, expand your knowledge, and connect with fellow debaters from around the globe.

Signature is a private artificial intelligence platform that allows enterprises to keep their data secure and leverage AI models trained on their confidential corporate data. The platform offers services for model training, output delivery, and integration of AI capabilities into workflows. Signature aims to optimize generative AI potential for brands and enterprises by providing secure and private AI solutions. The platform also offers consultancy services to assist in AI adoption and content production. With a focus on security, privacy, and customization, Signature helps clients create exclusive and high-performance AI models.

ArkiFi is a revolutionary finance workflow automation tool powered by Generative AI, designed to streamline financial analysis processes and empower finance professionals to focus on strategic decision-making. The application ensures deterministic output without 'hallucination,' enabling enterprises to trust results with unparalleled reliability. With cross-platform functionality, ArkiFi saves time by automating grind work such as formatting and debugging, allowing users to concentrate on critical thinking and innovation. The tool is reshaping the finance industry by disintermediating human labor in advanced finance sectors like investment banking and private equity.

SuperAGI is a leading research organization focused on Generalized Super Intelligence. They work on research in technical areas such as Neurosymbolic AI, Autonomous Agents & Multi-Agent Systems, New Model Architectures, System 2 Thinking, Recursive Self-Improving Systems, and other socio-economic super AGI-related topics such as Digital Workforce, Algorithmic Governance, UBI, etc.

Mental Models is a decision-making tool that uses AI to help entrepreneurs make better decisions. It provides users with over 50 mental models, a community of like-minded entrepreneurs, and personalized insights. Mental Models is designed to help entrepreneurs overcome complex business challenges and make more confident, regret-free decisions.

Gaspard+Bruno is a premier AI consulting agency and platform dedicated to empowering businesses with high-end custom AI solutions. They offer sophisticated art direction and content production driven by technology, with a strong focus on exploration and technique. They value close and collaborative relationships with forward-thinking clients.

Derwen is an open-source integration platform for production machine learning in enterprise, specializing in natural language processing, graph technologies, and decision support. It offers expertise in developing knowledge graph applications and domain-specific authoring. Derwen collaborates closely with Hugging Face and provides strong data privacy guarantees, low carbon footprint, and no cloud vendor involvement. The platform aims to empower AI engineers and domain experts with quality, time-to-value, and ownership since 2017.

Xmind is an AI-powered mind mapping tool that offers seamless team collaboration. It provides a full-featured platform for creating mind maps and brainstorming, with intuitive features to spark creativity. Users can jot down ideas, organize thoughts, and customize mind maps with ease. Xmind also offers unique structures like Fishbone, Org Chart, and Timeline, along with features such as Outliner, ZEN Mode, and Pitch Mode for enhanced productivity. The tool prioritizes user privacy, with no monitoring or tracking of private data, ad-free experience, and local file storage for enhanced security. Xmind has garnered positive feedback from users worldwide, including educators, professionals, and students, who praise its simplicity, power, and effectiveness in various tasks.

Flavorish is an AI-powered cooking assistant that helps users create delicious meals with ease. It offers a range of features to simplify the cooking process, including AI-powered recipe generation, smart shopping lists, recipe storage, and offline mode. With Flavorish, users can save time, reduce food waste, and explore new cuisines with confidence.

Mindsera is the world's first AI-powered journal that offers features such as AI-generated artworks, mindset analysis, automatic summaries, writing templates based on frameworks, AI mentorship by historical figures, clean journal design with smart highlights and habit tracking, stories from the community, tutorials, and articles providing timeless wisdom. Users can benefit from personalized mentorship and feedback to improve mindset, cognitive skills, mental health, and fitness. The application aims to enhance self-awareness, critical thinking, and decision-making by providing tools for thought analysis, entry analysis, and journal analysis. Mindsera also offers features like voice journaling, structured writing templates, mental models, and frameworks to help users structure their thinking and achieve mental fitness.

OpenAI01.net is an AI tool that offers free usage with some limitations. It provides a new series of AI models designed to spend more time thinking before responding, capable of reasoning through complex tasks and solving harder problems in science, coding, and math. Users can ask questions and get answers for free, with the option to select different models based on credits. The tool excels in complex reasoning tasks and has shown impressive performance in various benchmarks.

Brainglue is a conversational AI tool designed for creative professionals to supercharge their strategic thinking and communication. It offers a suite of AI workflows optimized for writing, analysis, research, illustration, and more. Users can chat with AI advisors, access frontier models like GPT-4 and Claude 3, save recurring context in memory docs, and generate images with state-of-the-art models. Brainglue aims to enhance productivity and provide a thoughtful AI experience tailored for knowledge professionals and creative minds.

Moxie is an AI-powered academic research writing companion that assists users in refining arguments, guiding research, and enhancing academic voice. It offers personalized feedback, AI-powered writing assistance, and tools for research design. Unlike AI content generators, Moxie empowers scholars to tackle complex tasks while preserving their critical thinking. The platform provides premium AI models, interactive learning sessions, and a personalized approach to academic writing. Users can streamline research processes, refine arguments, and receive actionable feedback to enhance their academic work.

ibl.ai is a generative AI platform that focuses on education, providing cutting-edge solutions for institutions to create AI mentors, tutoring apps, and content creation tools. The platform empowers educators by giving them full control over their code, data, and models. With advanced features and support for both web and native mobile platforms, ibl.ai seamlessly integrates with existing infrastructure, making it easy to deploy across organizations. The platform is designed to enhance learning experiences, foster critical thinking, and engage students deeply in educational content.

Enhans AI Model Generator is an advanced AI tool designed to help users generate AI models efficiently. It utilizes cutting-edge algorithms and machine learning techniques to streamline the model creation process. With Enhans AI Model Generator, users can easily input their data, select the desired parameters, and obtain a customized AI model tailored to their specific needs. The tool is user-friendly and does not require extensive programming knowledge, making it accessible to a wide range of users, from beginners to experts in the field of AI.

The Frontier Model Forum (FMF) is a collaborative effort among leading AI companies to advance AI safety and responsibility. The FMF brings together technical and operational expertise to identify best practices, conduct research, and support the development of AI applications that meet society's most pressing needs. The FMF's core objectives include advancing AI safety research, identifying best practices, collaborating across sectors, and helping AI meet society's greatest challenges.

Role Model AI is a revolutionary multi-dimensional assistant that combines practicality and innovation. It offers four dynamic interfaces for seamless interaction: phone calls for on-the-go assistance, an interactive agent dashboard for detailed task management, lifelike 3D avatars for immersive communication, and an engaging Fortnite world integration for a gaming-inspired experience. Role Model AI adapts to your lifestyle, blending seamlessly into your personal and professional worlds, providing unparalleled convenience and a unique, versatile solution for managing tasks and interactions.

AI Model Agency is a cutting-edge synthetic photography platform that revolutionizes the world of fashion representation by seamlessly blending technology and creativity. The platform offers innovative AI-generated models, personalized recommendations, and influencer collaboration services to empower brands in enhancing their visual content and boosting e-commerce conversions.

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.

AIW is a code base for experiments and raw data related to Alice in Wonderland, showcasing complete reasoning breakdown in state-of-the-art large language models. Users can collect experiments data using LiteLLM and TogetherAI, and plot the data using provided scripts. The tool allows for executing experiments over LiteLLM and lmsys, with options for different prompt types and AIW variations. The project also includes acknowledgments and a citation for reference.

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

llm-colosseum is a tool designed to evaluate Language Model Models (LLMs) in real-time by making them fight each other in Street Fighter III. The tool assesses LLMs based on speed, strategic thinking, adaptability, out-of-the-box thinking, and resilience. It provides a benchmark for LLMs to understand their environment and take context-based actions. Users can analyze the performance of different LLMs through ELO rankings and win rate matrices. The tool allows users to run experiments, test different LLM models, and customize prompts for LLM interactions. It offers installation instructions, test mode options, logging configurations, and the ability to run the tool with local models. Users can also contribute their own LLM models for evaluation and ranking.

IG-LLM is a framework for solving inverse-graphics problems by instruction-tuning a Large Language Model (LLM) to decode visual embeddings into graphics code. The framework demonstrates natural generalization across distribution shifts without special inductive biases. It provides training and evaluation data for various scenarios like CLEVR, 2D, SO(3), 6-DoF, and ShapeNet. The environment setup can be done using conda/micromamba or Dockerfile. Training can be initiated for each scenario with specific commands, and inference can be performed using the provided script.

The LLM Evaluation guidebook provides comprehensive guidance on evaluating language model performance, including different evaluation methods, designing evaluations, and practical tips. It caters to both beginners and advanced users, offering insights on model inference, tokenization, and troubleshooting. The guide covers automatic benchmarks, human evaluation, LLM-as-a-judge scenarios, troubleshooting practicalities, and general knowledge on LLM basics. It also includes planned articles on automated benchmarks, evaluation importance, task-building considerations, and model comparison challenges. The resource is enriched with recommended links and acknowledgments to contributors and inspirations.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

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.

LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.

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.

gollm is a Go package designed to simplify interactions with Large Language Models (LLMs) for AI engineers and developers. It offers a unified API for multiple LLM providers, easy provider and model switching, flexible configuration options, advanced prompt engineering, prompt optimization, memory retention, structured output and validation, provider comparison tools, high-level AI functions, robust error handling and retries, and extensible architecture. The package enables users to create AI-powered golems for tasks like content creation workflows, complex reasoning tasks, structured data generation, model performance analysis, prompt optimization, and creating a mixture of agents.

AlphaFold3 is an implementation of the Alpha Fold 3 model in PyTorch for accurate structure prediction of biomolecular interactions. It includes modules for genetic diffusion and full model examples for forward pass computations. The tool allows users to generate random pair and single representations, operate on atomic coordinates, and perform structure predictions based on input tensors. The implementation also provides functionalities for training and evaluating the model.

This repository is the workshop repository for the Causal Modeling in Machine Learning Workshop on Altdeep.ai. The material is open source and free. The course covers causality in model-based machine learning, Bayesian modeling, interventions, counterfactual reasoning, and deep causal latent variable models. It aims to equip learners with the ability to build causal reasoning algorithms into decision-making systems in data science and machine learning teams within top-tier technology organizations.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

Benchmark HVAC GPT model with unmatched expertise and forward-thinking solutions, powered by OpenAI

Expert in applying mental models across various domains.

Explains mental models with examples, inspired by thinkers like Charlie Munger.

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

Java & Python programming assistant for AI model inference.

Discover A More Robust Business: Craft tailored value proposition statements, develop a comprehensive business model canvas, conduct detailed PESTLE analysis, and gain strategic insights on enhancing business model elements like scalability, cost structure, and market competition strategies. (v1.18)

A software architect for C4 Model generation.

Let's get started by telling me about your business: What do you offer? Who do you serve? ------------------------------------------------------- Need help Prompt Engineering? Reach out on LinkedIn: StephenHnilica

Business Model Canvas Creator - Build and evaluate your business model

Discover if your group, relationship or organization uses specific methods to recruit and maintain control over people

Generates Environmental impact assessment templates based on specific global locations and parameters.

Expert in Marian NMT models and training

Un aiuto a costruire il Business Model Canvas della tua iniziativa

Expert in ML model optimization and tuning!

Business model expert, create detailed reports based on business ideas.

是一个专门用于建立数学模型并撰写python代码的gpt.

Assists with ROMS and COAWST modeling in Linux environments.

Consultor experto en Business Model Canvas para emprendedores

Expert on AI Model NFT Marketplace, offering insights on blockchain tech and NFTs.