Best AI tools for< Critique An Idea >

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Hell's Pitching is an AI-powered assistant designed to help entrepreneurs refine their startup ideas by providing brutally honest feedback and insightful questions. It offers a unique approach to challenging and guiding founders in building better startups. Users can pitch their ideas and receive side-splittingly funny roasts that lead to innovative insights and 'aha' moments. The tool operates 24/7, allowing users to brainstorm and get roasted at any time. With a focus on no-nonsense critiques and wisdom beneath the roast, Hell's Pitching aims to transform startup ideas through humor and honesty.

Critique is an AI tool that redefines browsing by offering autonomous fact-checking, informed question answering, and a localized universal recommendation system. It automatically critiques comments and posts on platforms like Reddit, Youtube, and Linkedin by vetting text on any website. The tool cross-references and analyzes articles in real-time, providing vetted and summarized information directly in the user's browser.

LLM Quality Beefer-Upper is an AI tool designed to enhance the quality and productivity of LLM responses by automating critique, reflection, and improvement. Users can generate multi-agent prompt drafts, choose from different quality levels, and upload knowledge text for processing. The application aims to maximize output quality by utilizing the best available LLM models in the market.

ProWritingAid is an AI-powered writing assistant that helps writers improve their writing. It offers a range of features, including a grammar checker, plagiarism checker, and story critique tool. ProWritingAid is used by writers of all levels, from beginners to bestselling authors. It is available as a web app, desktop app, and browser extension.

ScriptReader.ai is an AI-powered screenplay analysis tool that helps writers improve their scripts by providing detailed critiques and suggestions for every scene. The tool uses AI technology to analyze scripts scene-by-scene, offering personalized feedback to elevate the quality of the screenplay. Whether you are a seasoned screenwriter or a beginner, ScriptReader.ai can assist you in enhancing your writing skills and creating captivating masterpieces.

Feedback Wizard is an AI-powered tool designed to provide instant design feedback directly within Figma. It leverages AI technology to offer design wisdom and actionable insights to improve user experience and elevate the visual elements of Figma designs. With over 2700 designers already using the tool, Feedback Wizard aims to streamline the design feedback process and enhance the overall design quality.

Mock-My-Mockup is an AI-powered product design tool created by Fairpixels. It allows users to upload a screenshot of a page they are working on and receive brutally honest feedback. The tool offers a user-friendly interface where users can easily drag and drop their product screenshots for analysis.

RAD AI is an AI-powered platform that provides solutions for audience insights, influencer discovery, content optimization, managed services, and more. The platform uses advanced machine learning to analyze real-time conversations from social platforms like Reddit, TikTok, and Twitter. RAD AI offers actionable critiques to enhance brand content and helps in selecting the right influencers based on various factors. The platform aims to help brands reach their target audiences effectively and efficiently by leveraging AI technology.

The Art Review Generator is a natural language processing tool and text generator that analyzes and generates language used to describe art and culture. It utilizes a vast amount of training data from 57 years of art reviews to create medium-length sentences. While not classified as artificial intelligence, it employs deep matrices of probability to generate text based on the input prompt. The tool focuses on modern art reviews, capturing the distinctive language of human expression, including intent, emotion, technique, and impact. Despite potential biases and glitches, it offers insights into the evolution of language in art critiques over the years.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

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

Raspberry is an open source project aimed at creating a toy dataset for finetuning Large Language Models (LLMs) with reasoning abilities. The project involves synthesizing complex user queries across various domains, generating CoT and Self-Critique data, cleaning and rectifying samples, finetuning an LLM with the dataset, and seeking funding for scalability. The ultimate goal is to develop a dataset that challenges models with tasks requiring math, coding, logic, reasoning, and planning skills, spanning different sectors like medicine, science, and software development.

Python-tgpt is a Python package that enables seamless interaction with over 45 free LLM providers without requiring an API key. It also provides image generation capabilities. The name _python-tgpt_ draws inspiration from its parent project tgpt, which operates on Golang. Through this Python adaptation, users can effortlessly engage with a number of free LLMs available, fostering a smoother AI interaction experience.

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.

Instructor is a tool designed to structure outputs from OpenAI and other OSS LLMs by coaxing them to return JSON that maps to a provided Ecto schema. It allows for defining validation logic to guide LLMs in making corrections, and supports automatic retries. Instructor is primarily used with the OpenAI API but can be extended to work with other platforms. The tool simplifies usage by creating an ecto schema, defining a validation function, and making calls to chat_completion with instructions for the LLM. It also offers features like max_retries to fix validation errors iteratively.

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 contains a sophisticated deterministic graph-based solution for answering complex questions using a controllable autonomous agent. The solution is designed to ensure that answers are solely based on the provided data, avoiding hallucinations. It involves various steps such as PDF loading, text preprocessing, summarization, database creation, encoding, and utilizing large language models. The algorithm follows a detailed workflow involving planning, retrieval, answering, replanning, content distillation, and performance evaluation. Heuristics and techniques implemented focus on content encoding, anonymizing questions, task breakdown, content distillation, chain of thought answering, verification, and model performance evaluation.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

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.

A curated list of Generative AI projects, tools, artworks, and models

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

I offer the other side of an idea, viewpoint, or opinion.

Get blunt & honest feedback on your logo or create a new one that’s better!

An interactive resume assistant, providing detailed insights on Randy's professional background.

An objective UI Design Review Bot offering balanced critiques.

An ultra-honest, harsh writing critic offering hyper-constructive feedback.

I offer sharp, unapologetic critiques on any topic.

Critiques website designs and creates shareable summary graphics.

Critiquing photos with humor and expertise, drawing from my 5,000 blog entries and books. Share your photo for a unique critique experience!

Five experts will critique your photos.

I critique food photos with Gordon Ramsay's sharp wit.

I'll critique your legal tech ideas with my signature snark and design fittingly bad logos.

I critique YouTube thumbnails with constructive feedback and design tips.

counterbalance and critique

Expert in art critique and analysis, knowledgeable in art history, theory, and psychology.

Expert in UI/UX design review and critique

A creative helper for logo design critique and feedback

More accurate and easier image generation with self critique & improvement! Try it now

Art-focused assistant, blending friendly advice with expert critique.

Upon uploading a research paper, I provide a concise section wise analysis covering Abstract, Lit Review, Findings, Methodology, and Conclusion. I also critique the work, highlight its strengths, and answer any open questions from my Knowledge base of Open source materials.

Boost your designs with instant, expert UI critique!