Best AI tools for< Discover Relevant Influencers >

Zaver is an AI-powered tool designed to help users find, analyze, and outreach creators directly from Google Sheets. It leverages smart AI search to discover relevant influencers, provides 20+ AI-powered insights, and facilitates seamless communication. Zaver streamlines influencer marketing campaigns by offering effortless management of influencer data, access to performance metrics, AI-based insights, and email outreach capabilities all within Google Sheets. The tool aims to save time, money, and enhance team collaboration in influencer marketing efforts.

Kofluence is a disruptive AI-powered Ad-Tech influencer marketing platform that empowers both brands and influencers to capitalize on the value of their social influence. With features like data-driven performance, matchmaking through AI, end-to-end campaign management, real-time performance metrics, and integration with marketing tools, Kofluence offers a comprehensive solution for effective influencer marketing campaigns. The platform boasts a vast network of over 650,000 creators, deep profiling capabilities, AI/ML algorithms, and proprietary risk and fraud detection mechanisms to ensure successful and optimized campaigns.

Odeist is an AI-powered social media discovery and engagement solution that helps businesses find, engage, and grow their audience on social media. It uses artificial intelligence to analyze social media data and identify the most relevant influencers, content, and conversations for each business. Odeist then provides businesses with the tools they need to engage with these influencers and audiences, and track their results. With Odeist, businesses can save time and effort on social media marketing, and get better results.

Omention is an AI-driven social media search tool designed to help businesses identify potential customers and influencers through advanced AI algorithms. By collecting and analyzing relevant social media posts about a product, Omention enables users to discover new leads, build relationships with key opinion leaders, and stay ahead of the competition. The platform offers a user-friendly interface with detailed tutorials and guides to maximize its features, making it a valuable asset for businesses looking to grow their customer base and increase sales.

Socialfaim is an AI-powered influencer marketing platform that leverages artificial intelligence to help businesses identify and collaborate with influencers to promote their products or services. The platform uses advanced algorithms to analyze social media data and identify the most relevant influencers for a brand's target audience. By automating the influencer discovery and outreach process, Socialfaim streamlines influencer marketing campaigns and helps businesses reach a wider audience more effectively.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

Maven is a social media platform that focuses on connecting people based on shared interests rather than followers or likes. It offers a social media detox by providing a network without borders where users can have meaningful conversations and discover relevant content. Maven incorporates AI technology to help users untangle their thoughts, connect with like-minded individuals, and explore trending interests. The platform aims to create a community-driven space for users to engage in thoughtful discussions and expand their interests.

Researcher.Life is a comprehensive research support platform that provides AI-powered tools and expert publication services to empower researchers at every stage of their journey. With a suite of advanced AI tools, including Paperpal, R Discovery, and Mind the Graph, Researcher.Life helps researchers write better, discover relevant literature, create stunning scientific illustrations, and find the right journals for their work. Additionally, Researcher.Life offers expert publication services from Editage, ensuring that manuscripts are polished and ready for publication. By combining AI technology with human expertise, Researcher.Life simplifies complex research tasks, saves time, and accelerates the path to success for researchers worldwide.

System Pro is a cutting-edge platform that revolutionizes the way users search, synthesize, and contextualize scientific research, with a primary focus on health and life sciences. It offers a fast and reliable solution for accessing valuable information in the field of research, empowering users to stay informed and make informed decisions. By leveraging advanced technology, System Pro enhances the research experience by providing a seamless and efficient search process, enabling users to discover relevant content effortlessly.

Prompts Club is an AI tool that offers a wide range of prompt templates, assets, and guides for various projects. Users can find consistent AI prompt and asset templates for images, text, and videos, all powered by AI technology. The platform allows users to sort and filter prompts based on popularity, newness, and ratings, making it easier to discover relevant resources for their projects.

ReadRelevant.Ai is an AI-powered tool that scans thousands of websites regularly to create a personalized feed directly relevant to users' current or aspired job roles. It provides curated content free from repetitive or redundant information, helping users discover best practices, new tools, and innovative solutions for their roles. The tool aims to increase productivity, problem-solving skills, and drive innovation in users' work, ultimately accelerating career growth and keeping users relevant in their fields.

Alt Cortex is an AI-powered news aggregation tool designed to help users curate, organize, summarize, and share content effortlessly. It leverages advanced technologies like vector search and OpenAI to provide users with relevant and concise insights. With features such as source control, automated updates, semantic categorization, intelligent summaries, and various sharing options, Alt Cortex aims to enhance user engagement and content clarity. The platform caters to a wide range of industries and purposes, offering solutions for content creators, educators, e-commerce sites, news outlets, corporate knowledge hubs, event organizers, nonprofits, health coaches, travel bloggers, real estate platforms, financial advisors, food bloggers, and more.

Jobright is an AI-powered job search platform that acts as your co-pilot in finding the freshest job opportunities. With its advanced AI technology, Jobright scans the job market continuously to bring you up-to-date job listings, saving you time and effort in your job search. The platform matches jobs to your skills and experience, provides key company insights, and suggests resume tweaks to help you secure more interviews with the right employers. Jobright offers a wide range of job listings across various industries, making it a valuable tool for job seekers looking to stay ahead in their job search.

Jacquard is an AI-powered platform that offers hyper-personalized brand messaging at scale. It provides a core platform for generating brand-safe messaging, along with add-ons for audience optimization and personalized campaigns. The technology is designed to resonate with people by tailoring messaging to individual customer contexts. Jacquard's expert language calibration and trusted content generation ensure sustained brand affinity and high engagement levels. The platform integrates seamlessly with existing tech stacks and offers real-time API and data ingestion for continuous optimization.

kwrds.ai is an AI-powered keyword research tool designed to assist SEO professionals, digital marketers, and small business owners in identifying and analyzing relevant keywords for their businesses or websites. The tool provides insights on search volume, trends, and potential traffic for each keyword. Additionally, it offers a 'People Also Asked' feature to generate content with AI based on frequently asked questions. With a user-friendly interface, users can easily navigate through data to enhance online visibility and drive more traffic to their websites.

Yesber is an AI-powered search engine that utilizes advanced algorithms to provide users with relevant and up-to-date information on a wide range of topics. The platform is designed to streamline the process of finding valuable content online by leveraging machine learning and natural language processing technologies. Users can simply enter their query, and Yesber will generate comprehensive search results from reputable sources across the web. With its user-friendly interface and intelligent search capabilities, Yesber aims to revolutionize the way people discover and access information online.

Darrow is an AI-powered justice intelligence platform that helps lawyers discover high-value, impactful cases. It uses AI to sift through publicly available information and connect relevant data points to detect legal violations, predict their outcomes, and assess their financial impact. This helps lawyers streamline business development and focus on what they do best: fight for justice.

Pooks.ai is a revolutionary AI-powered platform that offers personalized books in both ebook and audiobook formats. It leverages sophisticated algorithms and natural language processing to create dynamic and contextually relevant content tailored to individual preferences and needs. Users can enjoy a unique reading experience with books written on any non-fiction topic desired, personalized just for them. The platform provides swift, proficient, and user-friendly service, redefining how users engage with literature and absorb information. Pooks.ai is free to use and offers a wide range of personalized book options, making reading more engaging and meaningful.

Pooks.ai is a revolutionary AI-powered platform that offers personalized books in both ebook and audiobook formats. By leveraging sophisticated algorithms and natural language processing, Pooks.ai creates dynamic and contextually relevant content tailored to individual preferences and needs. Users can enjoy a unique reading experience with books crafted specifically for them, covering a wide range of topics from fitness and travel to pet care and self-help. The platform aims to transform the way people engage with literature by providing affordable and personalized reading experiences.

Taggy is an AI-powered tool that helps you generate engaging captions and quotes for your social media posts. It analyzes the content of your pictures and suggests relevant text that you can use to promote your brand or connect with your audience. With Taggy, you can save time and effort while creating high-quality content that will help you stand out on social media.

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The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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.

Taiyi (太一) is a bilingual large language model fine-tuned for diverse biomedical tasks. It aims to facilitate communication between healthcare professionals and patients, provide medical information, and assist in diagnosis, biomedical knowledge discovery, drug development, and personalized healthcare solutions. The model is based on the Qwen-7B-base model and has been fine-tuned using rich bilingual instruction data. It covers tasks such as question answering, biomedical dialogue, medical report generation, biomedical information extraction, machine translation, title generation, text classification, and text semantic similarity. The project also provides standardized data formats, model training details, model inference guidelines, and overall performance metrics across various BioNLP tasks.

The NVIDIA AI Blueprint for Vulnerability Analysis for Container Security showcases accelerated analysis on common vulnerabilities and exposures (CVE) at an enterprise scale, reducing mitigation time from days to seconds. It enables security analysts to determine software package vulnerabilities using large language models (LLMs) and retrieval-augmented generation (RAG). The blueprint is designed for security analysts, IT engineers, and AI practitioners in cybersecurity. It requires NVAIE developer license and API keys for vulnerability databases, search engines, and LLM model services. Hardware requirements include L40 GPU for pipeline operation and optional LLM NIM and Embedding NIM. The workflow involves LLM pipeline for CVE impact analysis, utilizing LLM planner, agent, and summarization nodes. The blueprint uses NVIDIA NIM microservices and Morpheus Cybersecurity AI SDK for vulnerability analysis.

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.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

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.

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