Best AI tools for< Improve Alignment >

Grantable is an AI-powered grant writing tool designed to assist grant professionals in drafting high-quality proposals efficiently. It offers a Smart Content Library, solutions for various sectors like nonprofits and businesses, and resources such as AI Grant Writing Course. Grantable streamlines the grant writing process, providing control and automation to users, ultimately saving time and improving the quality of grant proposals.

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.

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.

Briefly is an AI-powered briefing platform that helps users write effective briefs faster. It offers features like FastDrafts for quick draft generation, tailored feedback for improvement, personalized effectiveness case studies for inspiration, and business intelligence engine for strategic alignment. The platform ensures compliance, security, and measurable ROI, with fine-grained admin controls and personalized onboarding. Briefly is trusted by marketers worldwide, from startups to Fortune 500 companies, to enhance their marketing strategies and productivity.

Lazyeyefix AI Photo Editor is a free online tool designed to automatically fix lazy eyes in pictures. By using advanced AI technology, the editor can detect and correct misaligned eyes in images, providing users with the ability to enhance their photos effortlessly. The tool is user-friendly and requires no editing skills, making it accessible to a wide range of users. Lazyeyefix aims to empower individuals with strabismus by offering a simple and effective solution to improve the appearance of their photos.

Pivotly is an AI tool designed to assist users in finding product market fit. It provides personalized guidance and step-by-step actions to streamline the process of identifying the right market for a product or service. With Pivotly, users can leverage AI technology to optimize their market research efforts and make informed decisions to enhance their product-market alignment.

Ren is an AI-powered leadership coaching platform that offers personalized coaching to employees at all levels within an organization. It leverages advanced AI technology and decades of human coaching experience to provide real-time guidance, feedback, and support in alignment with company values and goals. Ren is scalable, private, and secure, enabling individuals to tackle tough conversations, align with their teams, and foster personal growth based on individualized data profiles. The platform also provides organizational dashboards for unique insights while preserving employee privacy.

Acrolinx is a content governance platform that helps enterprises ensure their writing meets their style guide and quality standards. It uses generative AI to automate content review and analysis, helping businesses improve efficiency and reduce risk. Acrolinx integrates with dozens of tools and works across hundreds of writers and billions of words.

Huudle is an AI account management copilot designed to enhance client alignment, progress tracking, and communication for creative teams. It participates in client meetings, reviews project documents, and engages in message threads related to the account's project. Using this data, Huudle assists account managers with key insights, tasks, project reporting, and follow-ups. By handling daily operations, Huudle allows account managers to focus more on their clients.

Keeper is an online matchmaking service driven by AI and relationship science, guided by human care. It aims to revolutionize the dating industry by providing personalized matches based on deep analysis of user preferences and traits. Unlike traditional dating apps, Keeper focuses on quality matches that have a higher potential for long-term relationships. The platform combines AI technology with human vetting to ensure accuracy and alignment with human intuition, leading to successful introductions and long-lasting relationships.

Nyle is an AI-powered operating system for e-commerce growth. It provides tools to generate higher profits and increase team productivity. Nyle's platform includes advanced market analysis, quantitative assessment of customer sentiment, and automated insights. It also offers collaborative dashboards and interactive modeling to facilitate decision-making and cross-functional alignment.

Coframe is an AI-powered website optimization tool that helps businesses automate their website growth 24/7. It uses advanced algorithms to generate variants for websites, optimize UI elements, personalize content, and improve SEO rankings. Coframe is trusted by innovative growth and marketing teams worldwide for its continuous optimization capabilities and proven results in increasing conversion rates. The tool offers seamless integration, scalability, and visibility for businesses looking to enhance their online presence and drive meaningful outcomes.

Breadcrumbs is a revenue acceleration platform that helps businesses optimize their entire sales and marketing funnel. It provides enterprise-grade lead scoring, allowing businesses to identify and prioritize their most promising leads. Breadcrumbs also offers a range of other features, such as data-driven model creation, unlimited workspaces and models, multi-variate testing, and integrations with a variety of marketing and sales tools. With Breadcrumbs, businesses can improve their lead quality, increase conversion rates, and accelerate revenue growth.

Athina AI is a comprehensive platform designed to monitor, debug, analyze, and improve the performance of Large Language Models (LLMs) in production environments. It provides a suite of tools and features that enable users to detect and fix hallucinations, evaluate output quality, analyze usage patterns, and optimize prompt management. Athina AI supports integration with various LLMs and offers a range of evaluation metrics, including context relevancy, harmfulness, summarization accuracy, and custom evaluations. It also provides a self-hosted solution for complete privacy and control, a GraphQL API for programmatic access to logs and evaluations, and support for multiple users and teams. Athina AI's mission is to empower organizations to harness the full potential of LLMs by ensuring their reliability, accuracy, and alignment with business objectives.

Peoplelogic is a suite of AI-enabled people and performance tools that helps businesses grow their people, cultivate better leaders, and increase business efficiency. The platform includes tools for driving strategic alignment, making data-driven people decisions, and building a culture of high performance and trust. Peoplelogic is used by over 1,200 organizations to improve employee engagement, reduce burnout, and optimize their people, process, and technology.

VMEG is an AI-powered platform that enables users to create infinite AI-crafted videos for marketing purposes. It allows users to transform their inventory and ideas into dynamic and diverse short videos instantly. The platform supports multiple input formats such as video, image, text, and URL, and utilizes AI crafting to generate high-quality videos with various effects. VMEG offers features like automatic video subtitle generation, eye-catching title creation, precise alignment of audio and vision, and easy distribution to multiple platforms. With VMEG, users can efficiently create professional-level video content and significantly improve their marketing efforts.

Ignition is an AI-powered roadmapping suite designed to connect roadmaps to revenue. It helps users identify and prioritize feature gaps based on revenue impact, generate roadmaps, and align them with Sales effortlessly. The tool automates the process of building revenue-based roadmaps, extracting deal-blocking feature gaps, and notifying sales reps when features ship. With AI analysis, users can surface key themes from customer conversations, prioritize roadmap items, and quantify the product's impact on revenue. Ignition aims to empower sales teams, automate product operations, and improve adoption and revenue impact.

Class Companion is an AI teaching assistant tool designed to provide instant coaching and AI feedback to students on their assignments. It helps improve student engagement and outcomes by offering multiple attempts, targeted help, and personalized feedback. The tool supports various subjects and grades, allowing teachers to save time on manual feedback and focus on lesson planning and individual instruction. With features like AI-generated content, in-depth reporting, and customizable rubrics, Class Companion aims to enhance student learning and comprehension.

Scribbr.com is an online platform that offers academic proofreading and editing services for students and academics. The website helps users improve the quality of their academic papers by providing professional editing and feedback. Scribbr.com aims to assist users in enhancing their writing skills and academic performance by offering personalized feedback and suggestions. The platform is designed to support users in achieving their academic goals by providing high-quality editing services and educational resources.

AHelp is the ultimate hub of educational and AI writing tools designed to assist students in improving their writing skills, enhancing efficiency, and achieving academic success. The platform offers a variety of powerful AI tools and applications such as Paraphraser, Grammar Checker, Plagiarism Checker, AI Detector, AI Essay Writer, Summarizer, and Citation Generator. AHelp is a one-stop solution for better writing, providing confidentiality, privacy, and a money-back guarantee. With a mission to empower students from top universities, AHelp ensures 100% compliance with academic standards, a significant improvement in writing quality, and a faster writing and research process.

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.

Aligner is a model-agnostic alignment tool that learns correctional residuals between preferred and dispreferred answers using a small model. It can be directly applied to various open-source and API-based models with only one-off training, suitable for rapid iteration and improving model performance. Aligner has shown significant improvements in helpfulness, harmlessness, and honesty dimensions across different large language models.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

Recent LLM (Large Language Models)-based CV and multi-modal works.

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.

Quack Companion is a VSCode extension that provides smart linting, code chat, and coding guideline curation for developers. It aims to enhance the coding experience by offering a new tab with features like curating software insights with the team, code chat similar to ChatGPT, smart linting, and upcoming code completion. The extension focuses on creating a smooth contribution experience for developers by turning contribution guidelines into a live pair coding experience, helping developers find starter contribution opportunities, and ensuring alignment between contribution goals and project priorities. Quack collects limited telemetry data to improve its services and products for developers, with options for anonymization and disabling telemetry available to users.

Aimmy is a universal AI-Based Aim Alignment Mechanism developed by BabyHamsta, MarsQQ & Taylor to make gaming more accessible for users who have difficulty aiming. It utilizes DirectML, ONNX, and YOLOV8 for player detection, offering high accuracy and fast performance. Aimmy features an easy-to-use UI, extensive customizability, and is free of ads and paywalls. It is designed for gamers facing challenges like physical or mental disabilities, poor hand-eye coordination, or aiming difficulties due to environmental factors. Aimmy provides various features like AI detection, customizability, anti-recoil system, mouse movement methods, hotswappability, and a model/configuration store with repository support.

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.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

LLM-Synthetic-Data is a repository focused on real-time, fine-grained LLM-Synthetic-Data generation. It includes methods, surveys, and application areas related to synthetic data for language models. The repository covers topics like pre-training, instruction tuning, model collapse, LLM benchmarking, evaluation, and distillation. It also explores application areas such as mathematical reasoning, code generation, text-to-SQL, alignment, reward modeling, long context, weak-to-strong generalization, agent and tool use, vision and language, factuality, federated learning, generative design, and safety.

Awesome-Story-Generation is a repository that curates a comprehensive list of papers related to Story Generation and Storytelling, focusing on the era of Large Language Models (LLMs). The repository includes papers on various topics such as Literature Review, Large Language Model, Plot Development, Better Storytelling, Story Character, Writing Style, Story Planning, Controllable Story, Reasonable Story, and Benchmark. It aims to provide a chronological collection of influential papers in the field, with a focus on citation counts for LLMs-era papers and some earlier influential papers. The repository also encourages contributions and feedback from the community to improve the collection.

LLMInterviewQuestions is a repository containing over 100+ interview questions for Large Language Models (LLM) used by top companies like Google, NVIDIA, Meta, Microsoft, and Fortune 500 companies. The questions cover various topics related to LLMs, including prompt engineering, retrieval augmented generation, chunking, embedding models, internal working of vector databases, advanced search algorithms, language models internal working, supervised fine-tuning of LLM, preference alignment, evaluation of LLM system, hallucination control techniques, deployment of LLM, agent-based system, prompt hacking, and miscellaneous topics. The questions are organized into 15 categories to facilitate learning and preparation.

Translate texts in manga/images. Some manga/images will never be translated, therefore this project is born. * Image/Manga Translator * Samples * Online Demo * Disclaimer * Installation * Pip/venv * Poetry * Additional instructions for **Windows** * Docker * Hosting the web server * Using as CLI * Setting Translation Secrets * Using with Nvidia GPU * Building locally * Usage * Batch mode (default) * Demo mode * Web Mode * Api Mode * Related Projects * Docs * Recommended Modules * Tips to improve translation quality * Options * Language Code Reference * Translators Reference * GPT Config Reference * Using Gimp for rendering * Api Documentation * Synchronous mode * Asynchronous mode * Manual translation * Next steps * Support Us * Thanks To All Our Contributors :

Hal9 is a tool that allows users to create and deploy generative applications such as chatbots and APIs quickly. It is open, intuitive, scalable, and powerful, enabling users to use various models and libraries without the need to learn complex app frameworks. With a focus on AI tasks like RAG, fine-tuning, alignment, and training, Hal9 simplifies the development process by skipping engineering tasks like frontend development, backend integration, deployment, and operations.

mLoRA (Multi-LoRA Fine-Tune) is an open-source framework for efficient fine-tuning of multiple Large Language Models (LLMs) using LoRA and its variants. It allows concurrent fine-tuning of multiple LoRA adapters with a shared base model, efficient pipeline parallelism algorithm, support for various LoRA variant algorithms, and reinforcement learning preference alignment algorithms. mLoRA helps save computational and memory resources when training multiple adapters simultaneously, achieving high performance on consumer hardware.

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.

Macaw-LLM is a pioneering multi-modal language modeling tool that seamlessly integrates image, audio, video, and text data. It builds upon CLIP, Whisper, and LLaMA models to process and analyze multi-modal information effectively. The tool boasts features like simple and fast alignment, one-stage instruction fine-tuning, and a new multi-modal instruction dataset. It enables users to align multi-modal features efficiently, encode instructions, and generate responses across different data types.

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.

Expert in scriptwriting, aligning with trending topics.

Rewrites resumes to align with targeted job postings.

A computer science professor aiding in understanding assignments

Experto en GRASP, General Responsibility Assignment Software Patterns

Respectful, concise, and kind English teacher.

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

Agile expert providing practical, step-by-step advice with the agile way of working of your team and organisation. Whether you're looking to improve your Agile skills or find solutions to specific problems. Including Scrum, Kanban and SAFe knowledge.

I improve objects with animals.

I improve marketing effectiveness by designing stunning research-led assets in a flash!

Helps improve language skills through interactive scenarios and feedback.

I improve Dutch sentences, explain errors, and give tips.

Bypass Internet censorship & improve your security online