Best AI tools for< Evaluate Research Articles >
20 - AI tool Sites
Scite
Scite is an award-winning platform for discovering and evaluating scientific articles via Smart Citations. Smart Citations allow users to see how a publication has been cited by providing the context of the citation and a classification describing whether it provides supporting or contrasting evidence for the cited claim.
Scholarcy
Scholarcy is an AI-powered tool designed to simplify knowledge management for students and researchers. It helps users to summarize, analyze, and organize research materials efficiently. With features like smart highlighting, flashcard summaries, and the ability to import documents from various sources, Scholarcy aims to revolutionize the research workflow. Users can enhance their summaries, jump to key findings, critically evaluate texts, and organize their knowledge effectively. The tool also allows users to synthesize insights, export to other apps, and apply their learnings in writing. Scholarcy is used by students and researchers at all academic levels, offering a user-friendly solution for academic paper management.
UX Tigers
UX Tigers is a website that provides user experience insights and articles from Jakob Nielsen. The website covers a wide range of UX topics, including user research, design, and usability. UX Tigers also offers a variety of resources, such as templates and tools, to help UX professionals improve their work.
Skeptic Reader
Skeptic Reader is a Chrome plugin that helps users detect bias and logical fallacies in real-time while browsing the internet. It uses GPT-4 technology to identify potential biases and fallacies in news articles, social media posts, and other online content. The plugin provides users with counter-arguments and suggestions for further research, helping them to make more informed decisions about the information they consume. Skeptic Reader is designed to promote critical thinking and media literacy, and it is a valuable tool for anyone who wants to navigate the online world with a more discerning eye.
VerifactAI
VerifactAI is a tool that helps users verify facts. It is a web-based application that allows users to input a claim and then provides evidence to support or refute the claim. VerifactAI uses a variety of sources to gather evidence, including news articles, academic papers, and social media posts. The tool is designed to be easy to use and can be used by anyone, regardless of their level of expertise.
BenchLLM
BenchLLM is an AI tool designed for AI engineers to evaluate LLM-powered apps by running and evaluating models with a powerful CLI. It allows users to build test suites, choose evaluation strategies, and generate quality reports. The tool supports OpenAI, Langchain, and other APIs out of the box, offering automation, visualization of reports, and monitoring of model performance.
Web3 Summary
Web3 Summary is an AI-powered platform that simplifies on-chain research across multiple chains and protocols, helping users find trading opportunities in the DeFi and NFT space. The platform offers a range of tools including a Trading Terminal, Wallet Study, Discord Bot, Mobile App, Profit Taking feature, Relative Valuations, Chrome Extension, and Developer APIs. Users can access comprehensive research kits, AI-based personal researchers, and tools to evaluate tokens and NFTs. Web3 Summary aims to empower users with accurate valuation metrics, simplify web3 projects, and provide insights for profitable decision-making in the crypto space.
Prolific
Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.
PubCompare
PubCompare is a powerful AI-powered tool that helps scientists search, compare, and evaluate experimental protocols. With over 40 million protocols in its database, PubCompare is the largest repository of trusted experimental protocols. PubCompare's AI-powered search features allow users to find similar protocols, highlight critical steps, and evaluate the reproducibility of protocols based on in-protocol citations. PubCompare is available from any computer and requires no download.
Athina AI
Athina AI is a platform that provides research and guides for building safe and reliable AI products. It helps thousands of AI engineers in building safer products by offering tutorials, research papers, and evaluation techniques related to large language models. The platform focuses on safety, prompt engineering, hallucinations, and evaluation of AI models.
OpinioAI
OpinioAI is an AI-powered market research tool that allows users to gain business critical insights from data without the need for costly polls, surveys, or interviews. With OpinioAI, users can create AI personas and market segments to understand customer preferences, affinities, and opinions. The platform democratizes research by providing efficient, effective, and budget-friendly solutions for businesses, students, and individuals seeking valuable insights. OpinioAI leverages Large Language Models to simulate humans and extract opinions in detail, enabling users to analyze existing data, synthesize new insights, and evaluate content from the perspective of their target audience.
EpicStart
EpicStart is an AI-powered platform that helps entrepreneurs validate their SaaS ideas quickly and efficiently. It offers features such as user story generation, comprehensive market research, idea analysis, and competitor analysis. By leveraging AI-driven insights, EpicStart aims to streamline the process of planning and launching a successful startup. The platform also provides detailed research reports, identifies market trends, and helps users understand their competitive advantage. With integrations and 24/7 support, EpicStart is designed to assist startups in making informed decisions and accelerating their product development.
Competely
Competely is an AI-powered competitive analysis tool that provides comprehensive insights into competitors across various industries. It saves users hours of manual research by generating detailed side-by-side comparisons, including marketing strategies, product features, pricing models, audience demographics, customer sentiment, company information, and SWOT analysis. The tool is suitable for founders, executives, marketers, product managers, agencies, and consultants, helping them make data-driven decisions and outsmart the competition.
Stanford HAI
Stanford HAI is a research institute at Stanford University dedicated to advancing AI research, education, and policy to improve the human condition. The institute brings together researchers from a variety of disciplines to work on a wide range of AI-related projects, including developing new AI algorithms, studying the ethical and societal implications of AI, and creating educational programs to train the next generation of AI leaders. Stanford HAI is committed to developing human-centered AI technologies and applications that benefit all of humanity.
Emerj
Emerj is a leading provider of enterprise AI insights, research, and connections to the right AI tools and providers. We cover AI use-cases and impact in the world’s largest organizations. Our mission is to help businesses understand and implement AI to achieve their business goals.
Fireopps
Fireopps is an AI Business Plan Generator that allows users to create a professional business plan in just 2 minutes using AI technology. The platform offers a fast and efficient way to generate a comprehensive business plan, including SWOT analysis, market analysis, competitor research, ideal customer profile, and more. Fireopps aims to streamline the process of creating a business plan by leveraging AI-driven insights and data-backed recommendations.
Flow AI
Flow AI is an advanced AI tool designed for evaluating and improving Large Language Model (LLM) applications. It offers a unique system for creating custom evaluators, deploying them with an API, and developing specialized LMs tailored to specific use cases. The tool aims to revolutionize AI evaluation and model development by providing transparent, cost-effective, and controllable solutions for AI teams across various domains.
Census GPT
Census GPT is an AI tool that provides data analysis services based on census data and crime statistics in the USA. Users can ask questions related to demographics, income levels, education, population, and crime rates in specific areas. The tool is designed to assist users in obtaining detailed insights and information about various regions in the United States.
NotedSource
NotedSource is a global research and innovation platform that connects users to a network of research experts. The platform utilizes AI to scout, vet, and manage collaboration projects efficiently. Users can post requests to evaluate experts, startups, and technologies, streamline contract drafting, simplify payments, and access a single project management platform. NotedSource also offers learning and development solutions, executive education, and strategy and innovation services.
Sacred
Sacred is a tool to configure, organize, log and reproduce computational experiments. It is designed to introduce only minimal overhead, while encouraging modularity and configurability of experiments. The ability to conveniently make experiments configurable is at the heart of Sacred. If the parameters of an experiment are exposed in this way, it will help you to: keep track of all the parameters of your experiment easily run your experiment for different settings save configurations for individual runs in files or a database reproduce your results In Sacred we achieve this through the following main mechanisms: Config Scopes are functions with a @ex.config decorator, that turn all local variables into configuration entries. This helps to set up your configuration really easily. Those entries can then be used in captured functions via dependency injection. That way the system takes care of passing parameters around for you, which makes using your config values really easy. The command-line interface can be used to change the parameters, which makes it really easy to run your experiment with modified parameters. Observers log every information about your experiment and the configuration you used, and saves them for example to a Database. This helps to keep track of all your experiments. Automatic seeding helps controlling the randomness in your experiments, such that they stay reproducible.
20 - Open Source AI Tools
storm
STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**
Awesome-LLM-in-Social-Science
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.
llm-course
The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod | ![Open In Colab](img/colab.svg) | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. | ![Open In Colab](img/colab.svg) | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. | ![Open In Colab](img/colab.svg) | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. | ![Open In Colab](img/colab.svg) | | 🌳 Model Family Tree | Visualize the family tree of merged models. | ![Open In Colab](img/colab.svg) | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. | ![Open In Colab](img/colab.svg) |
Awesome-LLM-in-Social-Science
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.
llms-tools
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.
GenAI-Showcase
The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.
InternLM-XComposer
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) based on InternLM2-7B excelling in free-form text-image composition and comprehension. It boasts several amazing capabilities and applications: * **Free-form Interleaved Text-Image Composition** : InternLM-XComposer2 can effortlessly generate coherent and contextual articles with interleaved images following diverse inputs like outlines, detailed text requirements and reference images, enabling highly customizable content creation. * **Accurate Vision-language Problem-solving** : InternLM-XComposer2 accurately handles diverse and challenging vision-language Q&A tasks based on free-form instructions, excelling in recognition, perception, detailed captioning, visual reasoning, and more. * **Awesome performance** : InternLM-XComposer2 based on InternLM2-7B not only significantly outperforms existing open-source multimodal models in 13 benchmarks but also **matches or even surpasses GPT-4V and Gemini Pro in 6 benchmarks** We release InternLM-XComposer2 series in three versions: * **InternLM-XComposer2-4KHD-7B** 🤗: The high-resolution multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _High-resolution understanding_ , _VL benchmarks_ and _AI assistant_. * **InternLM-XComposer2-VL-7B** 🤗 : The multi-task trained VLLM model with InternLM-7B as the initialization of the LLM for _VL benchmarks_ and _AI assistant_. **It ranks as the most powerful vision-language model based on 7B-parameter level LLMs, leading across 13 benchmarks.** * **InternLM-XComposer2-VL-1.8B** 🤗 : A lightweight version of InternLM-XComposer2-VL based on InternLM-1.8B. * **InternLM-XComposer2-7B** 🤗: The further instruction tuned VLLM for _Interleaved Text-Image Composition_ with free-form inputs. Please refer to Technical Report and 4KHD Technical Reportfor more details.
awesome-mobile-robotics
The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.
DecryptPrompt
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.
Scientific-LLM-Survey
Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.
awesome-deliberative-prompting
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.
awesome-langchain
LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.
PIXIU
PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.
PromptChains
ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.
langchain-benchmarks
A package to help benchmark various LLM related tasks. The benchmarks are organized by end-to-end use cases, and utilize LangSmith heavily. We have several goals in open sourcing this: * Showing how we collect our benchmark datasets for each task * Showing what the benchmark datasets we use for each task is * Showing how we evaluate each task * Encouraging others to benchmark their solutions on these tasks (we are always looking for better ways of doing things!)
uncheatable_eval
Uncheatable Eval is a tool designed to assess the language modeling capabilities of LLMs on real-time, newly generated data from the internet. It aims to provide a reliable evaluation method that is immune to data leaks and cannot be gamed. The tool supports the evaluation of Hugging Face AutoModelForCausalLM models and RWKV models by calculating the sum of negative log probabilities on new texts from various sources such as recent papers on arXiv, new projects on GitHub, news articles, and more. Uncheatable Eval ensures that the evaluation data is not included in the training sets of publicly released models, thus offering a fair assessment of the models' performance.
TrustLLM
TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.
Awesome-LWMs
Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.
lighteval
LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron. We're releasing it with the community in the spirit of building in the open. Note that it is still very much early so don't expect 100% stability ^^' In case of problems or question, feel free to open an issue!
20 - OpenAI Gpts
Scientific Insight
Scientific expert in evaluating articles using ROBINS-I and Cochrane tools
AnalyzePaper
Takes in a research paper or article, analyzes its claims, study quality, and results confidence and provides an easy to understand summary.
News Authenticator
Professional news analysis expert, verifying article authenticity with in-depth research and unbiased evaluation.
Eureka Research Assessment and Improvement
AI tool for self-evaluating and enhancing scientific research capabilities.
Long Market Research Analyst
AI for Business of Market Research Analyst (chuyên gia Phân tích Thị trường với 33 năm kinh nghiệm trong lĩnh vực tiếp thị.)
Product Improvement Research Advisor
Improves product quality through innovative research and development.
Mixed Methods Design Decision Tool
I'm the Mixed Methods Design Decision Tool, offering guidance on mixed methods research designs, their implementation, and effective communication in studies.
Academic Paper Evaluator
Enthusiastic about truth in academic papers, critical and analytical.