Best AI tools for< Research Language Trends >

Kavout is an AI-powered financial research assistant that provides investors with data-driven insights and cutting-edge technology to help them make informed investment decisions. The platform offers a range of features, including natural language search, stock screening, portfolio analysis, and personalized recommendations. Kavout's AI algorithms adapt to each user's unique investment style, providing tailored insights and guidance.

Trend Hunter is an AI-powered platform that offers a vast database of ideas and innovations, trend reports, consumer insights, advisory services, and training programs. It combines human researchers with AI to provide data-driven insights for innovators. The platform helps businesses accelerate innovation, identify trends, and stay ahead of the competition. Trend Hunter's AI capabilities include natural language processing, machine learning, image recognition, and consumer insights analysis.

Bot Memo is a subscription-based service that provides exclusive AI market gap reports to its members. These reports help members stay ahead of emerging AI trends and identify potential investment opportunities. Bot Memo's target audience is venture capitalists and entrepreneurs who are interested in investing in AI startups.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research by offering profound insights into market trends and consumer behavior. It provides a full array of specialized assistants to jumpstart team's work, including scouting innovation, planning multiple scenarios, discovering trending ingredients, and advising on brand strategy. The suite features GenAI Agents for efficient workflows, a Chat for advanced insights, Persona Generator for persona development, Ingredient Discovery Agent for food innovation, Innovation Tracker for tracking tech advancements, and Sentiment Pulse Agent for real-time insights on public opinion. It supports professionals in various roles like freelancers, brand strategists, trend researchers, innovation consultants, and insights strategists.

Notably is a research synthesis platform that uses AI to help researchers analyze and interpret data faster. It offers a variety of features, including a research repository, AI research, digital sticky notes, video transcription, and cluster analysis. Notably is used by companies and organizations of all sizes to conduct product research, market research, academic research, and more.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

IdeaApe is an AI-powered market research tool that helps businesses understand their customers' wants and needs. By analyzing data from social media and other online sources, IdeaApe can identify patterns and sentiments, providing businesses with valuable insights that can help them make better decisions about their products, services, and marketing campaigns.

Papers With Code is an AI tool that provides access to the latest research papers in the field of Machine Learning, along with corresponding code implementations. It offers a platform for researchers and enthusiasts to stay updated on state-of-the-art datasets, methods, and trends in the ML domain. Users can explore a wide range of topics such as language modeling, image generation, virtual try-on, and more through the collection of papers and code available on the website.

Perceive Now is the world's first Large Language Model fine-tuned with IP and Market Research data. It offers custom IP and Market reports for various industries, providing detailed insights and analysis to support decision-making processes. The platform helps in identifying market trends, conducting due diligence, managing deal flow, and maximizing IP and licensing opportunities. Perceive Now is a game-changer in prior art search, increasing the odds of patent grant success. It has significantly reduced research costs and time, accessing over 100M IP and market data sources and assisting in securing funding worth $500M.

The website is a platform managed by Dr. Elie Bursztein, the Google & DeepMind AI Cybersecurity technical and research lead. It features a collection of publications, blog posts, talks, and press releases related to cybersecurity, artificial intelligence, and technology. Dr. Bursztein shares insights and research findings on various topics such as secure AI workflows, language models in cybersecurity, hate and harassment online, and more. Visitors can explore recent content and subscribe to receive cutting-edge research directly in their inbox.

AlphaSense is a market intelligence and search platform that provides access to a comprehensive universe of content, including company filings, broker research, expert calls, regulatory documents, press releases, and internal content. It utilizes AI and NLP technology to surface relevant insights, monitor market trends, and collaborate on research. AlphaSense is trusted by thousands of organizations, including 85% of the S&P 100, 80% of the top asset management firms, and 80% of the top consultancies.

Impact Stack is an AI-powered research platform that enables users to conduct evidence-based research with the help of specialized AI tools and expertise. It allows users to ask questions about companies, industries, or research topics in natural language, providing rigorously researched answers quickly. The platform eliminates the need for manual data entry by allowing users to interface with AI agents equipped with up-to-date knowledge bases. Impact Stack also offers the ability to search and analyze multiple databases simultaneously, streamlining the research process. Users can stay informed with the latest articles and feature updates through subscription.

Navalai.co is an AI-powered platform that offers advanced tools for data analysis, natural language processing, and machine learning. It provides users with the ability to extract insights from large datasets, automate repetitive tasks, and generate predictive models. The platform is designed to help businesses and researchers make data-driven decisions and improve efficiency in various domains.

311 Institute is a leading provider of futures education, foresight, and keynotes. We help organizations and individuals understand and prepare for the future through our research, advisory services, and educational programs. Our team of experts provides insights on emerging technologies, global trends, and disruptive innovation. We believe that the future is not something to be feared, but rather an opportunity to be embraced. By understanding the forces that are shaping the future, we can make better decisions today and create a better tomorrow.

Reworked is a leading online community for professionals in the fields of employee experience, digital workplace, and talent management. It provides news, research, and events on the latest trends and best practices in these areas. Reworked also offers a variety of resources for members, including a podcast, awards program, and research library.

UseCasesFor.ai is an AI application that offers a collection of over 250 use cases for artificial intelligence across various industries and disciplines. It provides insights into how different types of AI, such as computer vision, generative AI, machine learning, and natural language processing, are utilized in fields like agriculture, automotive, e-commerce, education, energy, entertainment, finance, healthcare, human resources, insurance, IT, law enforcement, legal, logistics, manufacturing, marketing, product development, public services, property, retail, science, sport, telecommunications, transport, tourism, and wildlife. The platform also allows users to sign up to receive a PDF containing all the use cases and stay updated with the latest AI trends and news.

Prefit.AI is a generative AI search engine that enables users to quickly generate new content based on a variety of inputs. It can explore and analyze complex data in new ways, discover new trends and patterns, and summarize content, outline multiple solution paths, brainstorm ideas, and create detailed documentation from research notes. Prefit.AI can also respond naturally to human conversation and serve as a tool for customer service and personalization of customer workflows. It can augment employee workflows and act as efficient assistants for everyone in your organization.

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.

QnA3 is an AI-driven Web3 knowledge engine that provides real-time insights and analysis on the cryptocurrency market. It uses natural language processing and machine learning to extract insights from a variety of sources, including news articles, social media, and market data. QnA3 can be used to track the performance of individual cryptocurrencies, identify trends, and make informed trading decisions.

ChatCSV is a personal data analyst tool that allows users to upload CSV files and ask questions in natural language. It generates common questions about the data, visualizes answers with charts, and maintains a chat history for reference. The tool is useful across various industries like retail, finance, banking, marketing, and more, helping users understand trends, customer behavior, and conduct data analysis effortlessly.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

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)

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

AI-Writer is an AI content generation toolkit called Alwrity that automates and enhances the process of blog creation, optimization, and management. It integrates advanced AI models for text generation, image creation, and data analysis, offering features such as online research integration, long-form content generation, AI content planning, multilingual support, prevention of AI hallucinations, multimodal content generation, SEO optimization, and integration with platforms like Wordpress and Jekyll. The toolkit is designed for automated blog management and requires appropriate API keys and access credentials for full functionality.

The 'Conference-Acceptance-Rate' repository provides acceptance rates for top-tier AI-related conferences in the fields of Natural Language Processing, Computational Linguistics, Computer Vision, Pattern Recognition, Machine Learning, Learning Theory, Artificial Intelligence, Data Mining, Information Retrieval, Speech Processing, and Signal Processing. The data includes acceptance rates for long papers and short papers over several years for each conference, allowing researchers to track trends and make informed decisions about where to submit their work.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

LLM Hallucination Index - RAG Special is a comprehensive evaluation of large language models (LLMs) focusing on context length and open vs. closed-source attributes. The index explores the impact of context length on model performance and tests the assumption that closed-source LLMs outperform open-source ones. It also investigates the effectiveness of prompting techniques like Chain-of-Note across different context lengths. The evaluation includes 22 models from various brands, analyzing major trends and declaring overall winners based on short, medium, and long context insights. Methodologies involve rigorous testing with different context lengths and prompting techniques to assess models' abilities in handling extensive texts and detecting hallucinations.

This repository contains frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

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.

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.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

LLM-Geo is an AI-powered geographic information system (GIS) that leverages Large Language Models (LLMs) for automatic spatial data collection, analysis, and visualization. By adopting LLM as the reasoning core, it addresses spatial problems with self-generating, self-organizing, self-verifying, self-executing, and self-growing capabilities. The tool aims to make spatial analysis easier, faster, and more accessible by reducing manual operation time and delivering accurate results through case studies. It uses GPT-4 API in a Python environment and advocates for further research and development in autonomous GIS.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

text-to-leetspeak converter (for research purposes only)

Designed to Provide Comprehensive Insights from the AI industry from Reputable Sources.

Specializes in analyzing SEC filings and industry trends for financial advice.

Analyzes current trends and usage in the GPT Store.

a robot scholar reviewing social science research

AI and regulation news research assistant, finds all the AI-related industry information for and with you.

Synthèse d'articles d'ophtalmologie de PubMed depuis 2020 (par défaut), ou avant sur demande

Expert data analyst with a focus on diabetes data structure analysis.

Expert-focused summaries of French RSE podcasts.

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Supportive AI for Intelligence Analysis

Financial analysis expert for annual report summaries.

Expert in Hugging Face platform tools and resources

Expert en analyse de données statistiques

Get insights from the blog posts written by Tomas Hensrud Gulla

The Sign of Money: A SherLockian Quest for Decoding the Financial Market’s Mysteries

This GPT explains the US11769017B1 patent and how it relates to Google's SGE (Search Generative Experience).

AI assistant for scouting tech startups across Europe

Scans news sources for the latest AI content.

Krog help more good.