Best AI tools for< Alignment Researcher >

4'33" is an AI agent designed to help students and researchers discover the people they need, such as students seeking professors in a specific field or city. The tool assists in asking better questions, connecting with individuals, and evaluating how well they align with the user's requirements and background. Powered by Perplexity, 4'33" offers a platform for connecting people and answering questions, alongside AI technology. The tool aims to facilitate easier and faster connections between users and relevant individuals, enabling knowledge sharing and collaboration.

FindOurView is an AI-powered Discovery Insight Platform that provides instant discovery synthesis for teams. The platform reads interview transcripts, evaluates hypotheses, and facilitates discussions within teams. It enables users to evaluate hypotheses without the need for tags, extract relevant quotes, and make data-driven decisions. FindOurView aims to empower users with the collective intelligence of humans and AI to drive empathic conversations and confident decisions.

InsightFace is an open-source deep face analysis library that provides a rich variety of state-of-the-art algorithms for face recognition, detection, and alignment. It is designed to be efficient for both training and deployment, making it suitable for research institutions and industrial organizations. InsightFace has achieved top rankings in various challenges and competitions, including the ECCV 2022 WCPA Challenge, NIST-FRVT 1:1 VISA, and WIDER Face Detection Challenge 2019.

DMLR (Data-centric Machine Learning Research) is an AI tool that focuses on advancing research in data-centric machine learning. It organizes workshops, research retreats, maintains a journal, and runs a working group to support infrastructure projects. The platform covers topics such as data collection, governance, bias, and drifts, as well as data-centric explainable AI and AI alignment. DMLR encourages submissions around the theme of AI for Science, using AI to tackle scientific challenges and accelerate discoveries.

Lilac is an AI tool designed to enhance data quality and exploration for AI applications. It offers features such as data search, quantification, editing, clustering, semantic search, field comparison, and fuzzy-concept search. Lilac enables users to accelerate dataset computations and transformations, making it a valuable asset for data scientists and AI practitioners. The tool is trusted by Alignment Lab and is recommended for working with LLM datasets.

MIRI (Machine Intelligence Research Institute) is a non-profit research organization dedicated to ensuring that artificial intelligence has a positive impact on humanity. MIRI conducts foundational mathematical research on topics such as decision theory, game theory, and reinforcement learning, with the goal of developing new insights into how to build safe and beneficial AI systems.

Imagen is an AI application that leverages text-to-image diffusion models to create photorealistic images based on input text. The application utilizes large transformer language models for text understanding and diffusion models for high-fidelity image generation. Imagen has achieved state-of-the-art results in terms of image fidelity and alignment with text. The application is part of Google Research's text-to-image work and focuses on encoding text for image synthesis effectively.

AssignmentGPT AI is an AI-powered writing assistant designed to help students, blog writers, and teachers with their writing needs. It offers a wide range of tools such as assignment writing, diagram making, image-to-answer conversion, grammar checking, code generation, question formulation, essay writing, mock interviews, math problem solving, concept/topic explanation, research paper reviewing, job post generation, text summarization, and text expansion. The AI is trained by experts in content creation and conversions, providing quick and accurate assistance to students in their academic tasks. AssignmentGPT AI is a comprehensive platform that aims to simplify and enhance the academic experiences of modern students.

Homeworks AI is an AI-powered tool designed to help students finish their homework quickly and efficiently. By utilizing advanced technologies such as NeuralBlend and LigentLab, Homeworks AI can process and analyze text input to provide accurate and timely solutions for various academic tasks. The tool offers a seamless user experience, allowing students to input text, receive instant feedback, and generate high-quality outputs. With Homeworks AI, students can enhance their learning experience and improve their academic performance.

AI Does Your Homework is an innovative AI tool designed to assist students with their homework assignments. The tool utilizes advanced artificial intelligence algorithms to provide accurate solutions to a wide range of academic questions and problems. Students can simply input their questions into the tool, and it will generate step-by-step solutions, explanations, and answers in real-time. AI Does Your Homework aims to streamline the learning process, enhance understanding of complex topics, and improve academic performance.

Fifth Dimension AI is an AI application designed for real estate marketing. Ellie AI, the AI-powered assistant, helps real estate professionals with tasks such as content creation, optimization, drafting briefs, assessing pitches, ensuring brand alignment, generating content ideas, and more. The application aims to streamline marketing processes, enhance brand messaging, and stand out in a competitive market.

This is a free online tool that converts Text into an image or pdf that appears handwritten. This is the best Text to Handwriting converter available, and the best part is you can also upload your handwriting font file as well. Creating handwritten assignments is super easy with this utility, and you can download your handwritten assignment in pdf or image.

Labelbox is a data factory platform that empowers AI teams to manage data labeling, train models, and create better data with internet scale RLHF platform. It offers an all-in-one solution comprising tooling and services powered by a global community of domain experts. Labelbox operates a global data labeling infrastructure and operations for AI workloads, providing expert human network for data labeling in various domains. The platform also includes AI-assisted alignment for maximum efficiency, data curation, model training, and labeling services. Customers achieve breakthroughs with high-quality data through Labelbox.

EduSphere is a platform offering free AI tools for education. It provides educators with various tools such as Mindmap Generator, Quiz Generator, Assignment Grader, Rubrics Generator, and Lecture Slides to Markdown converter. Users can easily create educational content and enhance their teaching and learning experience without the need for an API key. The platform also allows customization and creation of new workflows through MindPal, a tool for smart AI workflows tailored to individual needs.

Quiz Solver is an AI-powered study companion that helps users crack their questions and master their quizzes. It is a Chrome extension that can be used to solve multiple-choice questions from any quiz or assignment from a supported website or LMS. Quiz Solver uses GPT-4, a powerful AI language model, to provide accurate and instant answers. It is privacy-centric and universally compatible, making it a valuable tool for students and professionals alike.

LearnMate is a revolutionary AI-integrated productivity app designed for students. It offers collaborative tools for study goal setting, assignment and task management, note-taking, and more. The app utilizes cutting-edge AI technology to enhance the learning experience and productivity of students. LearnMate is accessible on various devices, allowing seamless progress tracking and data synchronization across PCs, tablets, and mobile devices. With features like AI tutor assistance, assignment management, task lists, study notes creation, and more, LearnMate aims to revolutionize the way students study and excel in their academic endeavors.

StudyNinja is an AI-enhanced study buddy designed to revolutionize the academic journey of students. It offers a holistic productivity solution by blending smart task management, interactive study tools, and a unique AI Tutor. StudyNinja fosters active learning, efficient organization, and effective time management to enhance academic performance. The application provides features such as personalized study goals, assignment management, task management, study notes, and collaborative assignments. It is a cloud-based productivity software that works seamlessly on PC, tablet, or mobile devices, offering ultimate flexibility and hassle-free learning experience.

Quack AI is a software tool designed to assist software development teams in aligning their expectations and improving their contribution flow. It offers a VSCode extension that helps in shaping and maintaining consistency within developer teams. The tool provides guideline curation, contribution assistance, and failure analysis & iteration to streamline the development process. Quack AI is developed by Quack Labs, Inc., aiming to simplify the review process and enhance project management for software teams.

Plansom is an AI project management application designed to help users double their productivity by simplifying complex tasks and enabling operational excellence. With AI-powered plans and smart algorithms, Plansom assists in creating detailed business plans, prioritizing tasks, achieving goals quickly, and facilitating seamless collaboration. Users can track team achievements in real-time, roll out custom templates, and access ready-to-use strategy templates for various industries.

Gain is an AI-powered hybrid finance platform that offers transparent investment opportunities for users to earn returns on their ETH and USDC. The platform integrates DeFi protocols with algorithmic trading to generate alpha for digital-asset pools. Gain sets a new industry standard with daily third-party audits, full reserve tokens, vetted pool managers, and community alignment through GAIN token holder voting. The platform aims for attractive returns while prioritizing community engagement and transparency.

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, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

The Alignment Handbook provides robust training recipes for continuing pretraining and aligning language models with human and AI preferences. It includes techniques such as continued pretraining, supervised fine-tuning, reward modeling, rejection sampling, and direct preference optimization (DPO). The handbook aims to fill the gap in public resources on training these models, collecting data, and measuring metrics for optimal downstream performance.

Vision-LLM-Alignment is a repository focused on implementing alignment training for visual large language models (LLMs), including SFT training, reward model training, and PPO/DPO training. It supports various model architectures and provides datasets for training. The repository also offers benchmark results and installation instructions for users.

This repository provides an original implementation of Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications. It includes tools for neuron-level pruning, pruning based on set difference, Wanda/SNIP score dumping, rank-level pruning, and rank removal with orthogonal projection. Users can specify parameters like prune method, datasets, sparsity ratio, model, and save location to evaluate and modify neural networks for safety alignment.

LMOps is a research initiative focusing on fundamental research and technology for building AI products with foundation models, particularly enabling AI capabilities with Large Language Models (LLMs) and Generative AI models. The project explores various aspects such as prompt optimization, longer context handling, LLM alignment, acceleration of LLMs, LLM customization, and understanding in-context learning. It also includes tools like Promptist for automatic prompt optimization, Structured Prompting for efficient long-sequence prompts consumption, and X-Prompt for extensible prompts beyond natural language. Additionally, LLMA accelerators are developed to speed up LLM inference by referencing and copying text spans from documents. The project aims to advance technologies that facilitate prompting language models and enhance the performance of LLMs in various scenarios.

Speech Trident is a repository focusing on speech/audio large language models, covering representation learning, neural codec, and language models. It explores speech representation models, speech neural codec models, and speech large language models. The repository includes contributions from various researchers and provides a comprehensive list of speech/audio language models, representation models, and codec models.

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.

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.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

AudioLLMs is a curated collection of research papers focusing on developing, implementing, and evaluating language models for audio data. The repository aims to provide researchers and practitioners with a comprehensive resource to explore the latest advancements in AudioLLMs. It includes models for speech interaction, speech recognition, speech translation, audio generation, and more. Additionally, it covers methodologies like multitask audioLLMs and segment-level Q-Former, as well as evaluation benchmarks like AudioBench and AIR-Bench. Adversarial attacks such as VoiceJailbreak are also discussed.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

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.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

Fairseq is a sequence modeling toolkit that enables researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. It provides reference implementations of various sequence modeling papers covering CNN, LSTM networks, Transformer networks, LightConv, DynamicConv models, Non-autoregressive Transformers, Finetuning, and more. The toolkit supports multi-GPU training, fast generation on CPU and GPU, mixed precision training, extensibility, flexible configuration based on Hydra, and full parameter and optimizer state sharding. Pre-trained models are available for translation and language modeling with a torch.hub interface. Fairseq also offers pre-trained models and examples for tasks like XLS-R, cross-lingual retrieval, wav2vec 2.0, unsupervised quality estimation, and more.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

AI Alignment guided by interdisciplinary wisdom and a future-focused vision.

Ask this AI anything about alignment and it will give the best scenario the superintelligence should do according to its Alignment Principals.

I finish student assignments with precision from diploma to master level. Start by giving me your course(example diploma in accounting,) , course subject, theory involved, framework used, the question.

Ensuring highest excellence in academic writing

A Seventh-Day Adventist Event Planner GPT, focusing on doctrinal alignment, ethical planning, and respectful Sabbath observance for impactful church events.

Enhances internal alignment through effective communication strategies.

Orthodontic expert offering advice on braces and dental alignment.

Structured process for prioritizing marketing tasks based on strategic alignment. Outputs in Eisenhower, RACI and other methodologies.

Analyzes contracts vs benchmarks, grades alignment

VisionCraft HTML Design specializes in transforming rough sketches into stunning, functional HTML designs, utilizing DALL-E visualizations to bring product managers' visions to life. Emphasizing user needs and design innovation, this process ensures perfect alignment from concept to code.

Train to become a superhero or a supervillain. Master your powers, make pivotal choices. Each decision you make in this action-packed game not only shapes your abilities but also your moral alignment in the battle between good and evil. Another GPT Simulator by Dave Lalande

Conselheiro financeiro que combina Neville Goddard e Napoleon Hill para orientações práticas e alinhamento de crenças.

Align, organize, and enhance design assets effortlessly.

Crea situaciones de aprendizaje de acuerdo a los Currículos de Educacion Secundaria y Bachillerato de Asturias en el marco de la LOMLOE, para la especialidad, curso y temática proporcionados

Expert in scriptwriting, aligning with trending topics.

Align lessons to Common Core math standards

Align lessons to Next Generation Science Standards

Rewrites resumes to align with targeted job postings.

Career Catalyst is an AI-powered assistant specializing in job application support, adept at enhancing CVs and cover letters by aligning them with specific job descriptions for a standout application.

Translates complex instructions into basic steps or pseudocode.