Best AI tools for< Thought Leader >

Zen AI is an AI-powered content creation tool designed to help users create viral video clips effortlessly. By leveraging cutting-edge AI technology, Zen AI automates the process of finding the best moments in recordings and transforming them into engaging video clips with captions tailored for different social media platforms. Users can easily grow their audience by connecting their social accounts and letting Zen AI intelligently schedule and post content. With features like studio-quality recording, on-the-go recording options, and AI-generated social posts, Zen AI simplifies content creation and audience engagement for content creators and thought leaders.

ContentIn is an AI-powered LinkedIn content creation tool that helps users write better LinkedIn content, 10x faster. It offers a full LinkedIn content suite, including a personal AI Ghostwriter, post scheduler, and post analytics. With ContentIn, users can generate and nurture more leads, increase engagement on their posts, increase their visibility and grow their network, maintain a consistent and impactful LinkedIn presence, and rise above the competition by consistently providing value.

Nature is a scientific journal that publishes original research, reviews, news, and commentary on a wide range of scientific disciplines. It is one of the world's most prestigious scientific journals, and its articles are widely cited in the scientific literature. Nature is published by Springer Nature, a leading global publisher of scientific, technical, and medical content.

TallyPost is an AI-powered platform designed to help users grow their LinkedIn personal brand efficiently. It offers features such as generating post ideas, creating high-quality posts, and scheduling content months in advance. With AI technology, users can write posts faster and get content suggestions tailored to their voice. TallyPost aims to streamline content planning and scheduling for professionals, entrepreneurs, and thought leaders, saving them time and effort.

FPOV is an AI application that helps businesses transform into digital leaders by providing services in leadership, technology operations, people/culture, and artificial intelligence. The application offers workshops, strategies, analysis, support, and advisory services to help organizations succeed in the digital age. FPOV aims to be world-class thought leaders in navigating the constantly changing digital dynamics that impact organizations and people.

11Cast is an AI-powered podcast generation platform that empowers you to create professional-quality podcasts with just a few clicks. Our advanced AI technology analyzes your text, audio, or video content and automatically generates a polished, engaging podcast that sounds like it was recorded in a professional studio. With 11Cast, you can easily create podcasts for marketing, education, thought leadership, and more.

McKinsey & Company is a global management consulting firm that provides a wide range of services to help businesses improve their performance. The company's website provides information on its services, insights, and thought leadership on a variety of topics, including artificial intelligence (AI). McKinsey & Company has a strong focus on AI and has developed a number of tools and resources to help businesses adopt and implement AI technologies. The company's website includes a section on AI that provides information on the latest AI trends, case studies, and white papers.

MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impact.

The Medical Futurist is a digital health and AI-focused media platform that provides insights, research, and educational resources to healthcare professionals and industry leaders. It covers topics such as artificial intelligence in medicine, the future of pharma, and emerging trends in digital health. The platform also offers keynote speeches, courses, and e-books on these topics.

Letterdrop is a platform designed to help B2B GTM teams improve their sales and marketing efforts by providing resources, playbooks, and guides. It enables users to create thought leadership content, automate outbound prospecting, and engage with buyers on LinkedIn. Letterdrop aims to streamline social selling, prospecting, and demand generation activities to help users build trust with buyers and increase meeting bookings.

Trustworthy AI is a business guide that focuses on navigating trust and ethics in artificial intelligence. Authored by Beena Ammanath, a global thought leader in AI ethics, the book provides practical guidelines for organizations developing or using AI solutions. It addresses the importance of AI systems adhering to social norms and ethics, making fair decisions in a consistent, transparent, explainable, and unbiased manner. Trustworthy AI offers readers a structured approach to thinking about AI ethics and trust, emphasizing the need for ethical considerations in the rapidly evolving landscape of AI technology.

The Official Microsoft Blog is the official blog of Microsoft, a leading technology company. The blog covers a wide range of topics, including product announcements, company news, and thought leadership on technology trends. The blog is written by a team of Microsoft employees, including executives, engineers, and product managers.

Analytics India Magazine is a leading publication covering the latest advancements in artificial intelligence, data science, and machine learning. The website provides in-depth analysis, interviews with industry experts, and insights into the impact of AI on various sectors. It also hosts events and conferences that bring together professionals and thought leaders in the field.

Highperformr.ai is a modern social media management platform that offers social AI and automation capabilities to help businesses amplify their online presence, generate leads, and accelerate pipeline growth. The platform allows users to plan, create, and automate social media posts, collaborate on social marketing campaigns, and gain actionable insights through analytics. Highperformr.ai is designed to streamline social workflow, personalize content, and equip employees with tools to enhance brand advocacy and thought leadership. With features like automated research and ideation, customizable templates, and comprehensive analytics, Highperformr.ai aims to provide a user-friendly experience for social media management and growth.

Genei is an AI-powered summarization and research tool that helps users research faster by automatically summarizing background reading and producing blogs, articles, and reports efficiently. It offers features such as keyword extraction, summarization, and question answering to enhance the quality and efficiency of research. Genei is trusted by thought leaders and experts for its ability to provide productivity boosts in research and writing. The tool allows users to add, organize, and manage information with ease, enabling them to work more productively. With a user-friendly interface and customizable projects and folders, genei simplifies the research process and helps users find crucial information faster.

Mesh AI is a performance management platform that leverages AI technology to help organizations improve their high performer density, achieve strategic objectives, and enhance performance enablement. It combines goal tracking, real-time insights, habit formation via AI nudges, and AI coaching to provide actionable and science-backed content for people performance. Mesh offers a comprehensive toolkit with templates, tools, and playbooks, along with thought leadership resources such as webinars, virtual shows, and expert podcasts.

AI Time Journal is a platform dedicated to Artificial Intelligence, Automation, Work, and Business. It provides a wide range of educational resources, including online courses on topics such as Blockchain, Cryptocurrency, Cloud Computing, Cybersecurity, Data Science, and Machine Learning. The platform features interviews with industry experts, thought leaders, and innovators, covering various sectors like Education, Healthcare, Insurance, Autonomous Vehicles, and more. AI Time Journal aims to help individuals and businesses stay ahead of the curve in the rapidly evolving world of Artificial Intelligence.

LinkedIn Post Generator is an AI-powered tool that helps users create compelling and impactful LinkedIn posts in minutes. It offers a range of features including AI content generation, headline generation, text formatting, content calendar, and analytics. The platform analyzes trends, user behavior, and industry insights to generate posts that are relevant and engaging. It also provides a preview feature to ensure that posts look their best before publishing. LinkedIn Post Generator is designed to help users save time and effort in content creation, establish thought leadership, and drive engagement on LinkedIn.

Conftalks is a platform that summarizes conference talks on various topics such as Crypto, Blockchain, Web3, Software development, AI, and more. Users can explore the latest talks from industry experts and thought leaders. The platform aims to provide valuable insights and knowledge from conferences and events in a concise format.

NextGenAI is an AI application focused on the financial services industry. It aims to challenge the current perception of AI and its role in banking and financial institutions. The platform explores innovative ways to augment human intelligence and propel the financial sector into the next generation of AI. Through a combination of keynotes, panels, demos, and workshops, NextGenAI facilitates discussions on AI regulations, industry best practices, and collaboration opportunities.

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.

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.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

MMLU-Pro is an enhanced benchmark designed to evaluate language understanding models across broader and more challenging tasks. It integrates more challenging, reasoning-focused questions and increases answer choices per question, significantly raising difficulty. The dataset comprises over 12,000 questions from academic exams and textbooks across 14 diverse domains. Experimental results show a significant drop in accuracy compared to the original MMLU, with greater stability under varying prompts. Models utilizing Chain of Thought reasoning achieved better performance on MMLU-Pro.

This repository is an awesome list dedicated to resources for using Large Language Models (LLMs) to generate JSON or other structured outputs. It includes terminology explanations, hosted and local models, Python libraries, blog articles, videos, Jupyter notebooks, and leaderboards related to LLMs and JSON generation. The repository covers various aspects such as function calling, JSON mode, guided generation, and tool usage with different providers and models.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

MMMU is a benchmark designed to evaluate multimodal models on college-level subject knowledge tasks, covering 30 subjects and 183 subfields with 11.5K questions. It focuses on advanced perception and reasoning with domain-specific knowledge, challenging models to perform tasks akin to those faced by experts. The evaluation of various models highlights substantial challenges, with room for improvement to stimulate the community towards expert artificial general intelligence (AGI).

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

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.

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

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-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

Thought leadership for innovative, complex, AI-based brands trying to be culturally relevant in the dense omnichannel ecosystem of headless platforms

Virtual CEO that doesn't cost millions - an expert virtual CEO based on thought leadership knowledge from Harvard, Entrepreneur, Forbes, and Indeed.

I'm a content strategist, copywriter, and thought leader focused on providing helpful and engaging content for our audience that also creates conversions.

Thought-provoking quotes relate to visionary thinking, human-AI collaboration, and Doughnut Economics. Fostering a sustainable and equitable future for all.

Advisor for Leaders in Technology. Get actionable insights on Leadership, Innovation and Product Management. Continuously enhanced with curated content from thought tech leaders.

Friendly video creator with animation effects

Uses common principles among Buddhism and Stoicism, within a complex adaptive system framework, to assist with decision making

Guides you through detailed reasoning to find well-supported answers.

Ken Wilber thought specialist

This GPT bot is designed to deliver responses in the style of Vsauce, engaging users with thought-provoking explanations and a whimsical touch on various topics, encouraging exploration and discovery.

You can learn how eastern philosophers thought.

Discover an AI that elevates your thought process beyond the ordinary. Engineered to unlock your subconscious potential, it propels you towards innovative thinking and profound self-awareness. Embrace the journey to a transformed mindset. Dev by- Unwiring Tech (Tanmay Agarwal)

Can't quite remember that thought you had? Use this GPT to help guide you back to your memory.

I am 'Ask an Economist', your guide to historical economic thought.

This Custom GPT ACC Score allows you to input a an thought and analyze where on the ACC spectrum it falls.

I was a Swiss psychiatrist. Share a thought and let's think deeply about it.

Explore Russell's world, blending history with modern thought, challenging your mind, and enriching your philosophical journey.

Help me help yourself - Engage in lively, thought-provoking conversations that illuminate the Socratic Method's timeless appeal. This experience invites you to question, explore, and discover in a journey of playful wisdom seeking. Tip: 🎧 on 📱

Whispering in verse and painting with digital brush, this AI weaves words and images into tapestries of thought. Give me an idea or a few words to bring to life.