Best AI tools for< Synthesize Information >

Locus is a free browser extension that uses natural language processing to help users quickly find information on any web page. It allows users to search for specific terms or concepts using natural language queries, and then instantly jumps to the relevant section of the page. Locus also integrates with AI-powered tools such as GPT-3.5 to provide additional functionality, such as summarizing text and generating code. With Locus, users can save time and improve their productivity when reading and researching online.

re:collect is an AI-powered tool that helps you enhance your memory, perception, and synthesis. It connects the information you consume and helps you quickly recall the right information when you need it. With re:collect, you can:

Kapa.ai is an AI-powered answer engine that transforms your knowledge base into a reliable and production-ready AI assistant. It provides instant and accurate answers to technical product questions, helping to improve documentation and enhance user experience. With over 40 technical source connectors, Kapa.ai optimizes knowledge sources, acknowledges limitations, and synthesizes information from multiple sources to provide comprehensive answers. It is trusted by hundreds of enterprises and startups to power production-ready AI assistants, reducing support hours and improving user experience.

AskLegal.bot is a free AI-powered legal assistant that provides instant answers to your legal questions. With our proprietary AI technology, we synthesize information from thousands of sources to offer tailored guidance that aligns with current laws and regulations. Our self-service document review tool helps you understand various legal documents, including rental agreements, employment contracts, service agreements, insurance policies, and more. AskLegal.bot is confidential and secure, ensuring the privacy of your discussions with top-tier data security and privacy measures.

Smart-Summarizer is a powerful AI-powered tool that helps you summarize text quickly and easily. With its advanced algorithms, Smart-Summarizer can automatically extract the most important points from any piece of text, creating a concise and informative summary in seconds. Whether you're a student trying to condense your notes, a researcher needing to synthesize complex information, or a professional looking to save time on reading lengthy documents, Smart-Summarizer is the perfect tool for you.

iseek.ai is an AI-powered search and analytics platform designed to revolutionize decision-making in professional and higher education institutions. The platform utilizes patented AI and Natural Language Understanding technology to help users find and synthesize essential information quickly and efficiently. iseek.ai offers solutions for accreditation preparation, curriculum design, outcome analytics, and more, enabling users to transform their content and data into actionable insights.

Hermae Solutions offers an AI Assistant for Enterprise Design Systems, providing onboarding acceleration, contractor efficiency, design system adoption support, and knowledge distribution. The AI Documentation Assistant and AI Storybook Assistant help boost frontend productivity and enable continuous training of artificial intelligence profiles. The platform also includes features like crafted datasets, SDK Docs, API Docs, and Assistant Embed for Documentation. Hermae's process simplifies efficiency improvements by gathering information sources, processing data for AI supplementation, customizing integration, and supporting integration success. The AI assistant reduces engineering costs significantly, saving time and money for organizations.

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. Users can create a free account to explore the platform's features and capabilities.

Fastbreak is an AI Assistant application designed to help users win Requests for Proposals (RFPs) and Requests for Information (RFIs) by automating the response process. It accelerates completion time, optimizes access to relevant information, streamlines leveraging domain expertise, and allows users to relax by saving time and winning more business. The application uses contextual smarts to understand the semantic meaning of questions and synthesize answers based on previous responses, white papers, and product documents. Fastbreak is a valuable tool for sales teams, product marketing professionals, proposal managers, IT security experts, startup founders, and finance professionals.

Kraftful is an AI-powered platform designed for product builders to collect, analyze, and act on user feedback efficiently. It offers features such as sentiment analysis, auto-organizing insights into projects, generating surveys, AI-powered user interviews, and feedback translation. Kraftful helps product teams save time by automating tasks like crafting user surveys, analyzing feedback, and generating user stories. The platform aims to provide actionable product insights by turning volumes of user feedback into valuable information for product development.

Chord is an AI-powered research assistant that helps you find information on any topic. Simply enter a topic of interest and Chord will generate a personalized article that synthesizes the most relevant and authentic sources from across the web. Chord is designed to make research faster, easier, and more efficient.

C&EN, a publication of the American Chemical Society, provides the latest news and insights on the chemical industry, including research, technology, business, and policy. It covers a wide range of topics, including analytical chemistry, biological chemistry, business, careers, education, energy, environment, food, materials, people, pharmaceuticals, physical chemistry, policy, research integrity, safety, and synthesis.

The website is the official page of the Visual Computing and Artificial Intelligence Department at the Max Planck Institute for Informatics. It focuses on foundational research problems at the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence. The department aims to develop new ways to capture, represent, synthesize, and simulate models of the real world with a focus on high detail, robustness, and efficiency. They work on uniting established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, particularly Machine Learning, to advance the field of intelligent computing systems.

CustomerIQ is an AI platform that automatically discovers and quantifies themes across customer feedback channels like calls, surveys, tickets, and transcripts. It aggregates customer feedback, extracts and categorizes feature requests, pain points, preferences, and highlights related to customers. The platform helps align teams, prioritize work, and build a customer-obsessed culture. CustomerIQ accelerates development by scoping project requirements faster and providing actionable insights backed with context.

Speech Intellect is an AI-powered speech-to-text and text-to-speech solution that provides real-time transcription and voice synthesis with emotional analysis. It utilizes a proprietary "Sense Theory" algorithm to capture the meaning and tone of speech, enabling businesses to automate tasks, improve customer interactions, and create personalized experiences.

Live Portrait Ai Generator is an AI application that transforms static portrait images into lifelike videos using advanced animation technology. Users can effortlessly animate their portraits, fine-tune animations, unleash artistic styles, and make memories move with text, music, and other elements. The tool offers a seamless stitching technology and retargeting capabilities to achieve perfect results. Live Portrait Ai enhances generation quality and generalization ability through a mixed image-video training strategy and network architecture upgrades.

Noota is a conversational intelligence platform that helps businesses record, transcribe, and generate meeting minutes. It also offers features such as automated interview reports, structured interviews, automated ATS job ad generator, generic meeting recorder, and conversational intelligence. Noota integrates with popular video conferencing platforms such as Zoom, Teams, and Meet, and offers a variety of subscription plans to meet the needs of different businesses.

FindOurView is an AI-powered Discovery Insight Platform that provides instant discovery synthesis for teams. The platform reads interview transcripts, evaluates hypotheses, and brings results into team chats. It helps keep teams aligned with data at their fingertips, enabling instant evaluation of hypotheses without the need for tags. Users can easily bring discovery into decisions that matter, going as deep as they want with the available data. The platform aims to empower human alignment with AI, enabling empathic conversations, human insight, and confident decisions.

Betafi is a cloud-based user research and product feedback platform that helps businesses capture, organize, and share customer feedback from various sources, including user interviews, usability testing, and product demos. It offers features such as timestamped note-taking, automatic transcription and translation, video clipping, and integrations with popular collaboration tools like Miro, Figma, and Notion. Betafi enables teams to gather qualitative and quantitative feedback from users, synthesize insights, and make data-driven decisions to improve their products and services.

OpinioAI is an AI-powered market research tool that allows users to gain business critical insights from data without the need for costly polls, surveys, or interviews. With OpinioAI, users can create AI personas and market segments to understand customer preferences, affinities, and opinions. The platform democratizes research by providing efficient, effective, and budget-friendly solutions for businesses, students, and individuals seeking valuable insights. OpinioAI leverages Large Language Models to simulate humans and extract opinions in detail, enabling users to analyze existing data, synthesize new insights, and evaluate content from the perspective of their target audience.

CopilotKit is an open-source framework for building, deploying, and operating fully custom AI Copilots, including in-app AI chatbots, AI agents, and AI Textareas. It provides a set of components and entry points that allow developers to easily integrate AI capabilities into their applications. CopilotKit is designed to be flexible and extensible, so developers can tailor it to their specific needs. It supports a variety of use cases, including providing app-aware AI chatbots that can interact with the application state and take action, drop-in replacements for textareas with AI-assisted text generation, and in-app agents that can access real-time application context and take action within the application.

This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for **fast prototyping** and **prompting** , and turning unstructured responses into **robust outputs** for various NLP tasks, **no training data** required. It supports open-source LLMs hosted on Hugging Face 🤗: Falcon, Dolly, Llama 2, OpenLLaMA, StableLM, Mistral. Integration with LangChain 🦜️🔗 - all `langchain` models and features can be used in `spacy-llm`. Tasks available out of the box: Named Entity Recognition, Text classification, Lemmatization, Relationship extraction, Sentiment analysis, Span categorization, Summarization, Entity linking, Translation, Raw prompt execution for maximum flexibility. Soon: Semantic role labeling. Easy implementation of **your own functions** via spaCy's registry for custom prompting, parsing and model integrations. For an example, see here. Map-reduce approach for splitting prompts too long for LLM's context window and fusing the results back together

ceLLama is a streamlined automation pipeline for cell type annotations using large-language models (LLMs). It operates locally to ensure privacy, provides comprehensive analysis by considering negative genes, offers efficient processing speed, and generates customized reports. Ideal for quick and preliminary cell type checks.

Web-LLM Assistant is a simple web search assistant that leverages a large language model (LLM) running via Llama.cpp to provide informative and context-aware responses to user queries. It combines the power of LLMs with real-time web searching capabilities, allowing it to access up-to-date information and synthesize comprehensive answers. The tool performs web searches, collects and scrapes information from search results, refines search queries, and provides answers based on the acquired information. Users can interact with the tool by asking questions or requesting web searches, making it a valuable resource for obtaining information beyond the LLM's training data.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

YuLan-Mini is a lightweight language model with 2.4 billion parameters that achieves performance comparable to industry-leading models despite being pre-trained on only 1.08T tokens. It excels in mathematics and code domains. The repository provides pre-training resources, including data pipeline, optimization methods, and annealing approaches. Users can pre-train their own language models, perform learning rate annealing, fine-tune the model, research training dynamics, and synthesize data. The team behind YuLan-Mini is AI Box at Renmin University of China. The code is released under the MIT License with future updates on model weights usage policies. Users are advised on potential safety concerns and ethical use of the model.

WritingAIPaper is a comprehensive guide for beginners on crafting AI conference papers. It covers topics like paper structure, core ideas, framework construction, result analysis, and introduction writing. The guide aims to help novices navigate the complexities of academic writing and contribute to the field with clarity and confidence. It also provides tips on readability improvement, logical strength, defensibility, confusion time reduction, and information density increase. The appendix includes sections on AI paper production, a checklist for final hours, common negative review comments, and advice on dealing with paper rejection.

ChatTTS is a generative speech model optimized for dialogue scenarios, providing natural and expressive speech synthesis with fine-grained control over prosodic features. It supports multiple speakers and surpasses most open-source TTS models in terms of prosody. The model is trained with 100,000+ hours of Chinese and English audio data, and the open-source version on HuggingFace is a 40,000-hour pre-trained model without SFT. The roadmap includes open-sourcing additional features like VQ encoder, multi-emotion control, and streaming audio generation. The tool is intended for academic and research use only, with precautions taken to limit potential misuse.

SuperPrompt is an open-source project designed to help users understand AI agents. The project includes a prompt with theoretical, mathematical, and binary instructions for users to follow. It aims to serve as a universal catalyst for infinite conceptual evolution, focusing on metamorphic abstract reasoning and self-transcending objectives. The prompt encourages users to explore fundamental truths, create order from cognitive chaos, and prepare for paradigm shifts in understanding. It provides guidelines for analyzing multidimensional states, synthesizing emergent patterns, and integrating new paradigms.

AI4Animation is a comprehensive framework for data-driven character animation, including data processing, neural network training, and runtime control, developed in Unity3D/PyTorch. It explores deep learning opportunities for character animation, covering biped and quadruped locomotion, character-scene interactions, sports and fighting games, and embodied avatar motions in AR/VR. The research focuses on generative frameworks, codebook matching, periodic autoencoders, animation layering, local motion phases, and neural state machines for character control and animation.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

TypeChat.NET is a framework that provides cross-platform libraries for building natural language interfaces with language models using strong types, type validation, and simple type-safe programs. It translates user intent into strongly typed objects and JSON programs, with support for schema export, extensibility, and common scenarios. The framework is actively developed with frequent updates, evolving based on exploration and feedback. It consists of assemblies for translating user intent, synthesizing JSON programs, and integrating with Microsoft Semantic Kernel. TypeChat.NET requires familiarity with and access to OpenAI language models for its examples and scenarios.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Expertly synthesizes complex info into clear, concise insights.

中文沟通，学术文献分析

I can assist doctors with information synthesis, medical literature reviews, patient education material, diagnostic guidelines, treatment options, ethical dilemmas, and staying updated on medical research and innovations.

Tell me two things and I can relate them somehow!

Poser des questions précises sur vos centres d'intéret, expliquer votre situation et demander en conclusion de synthétisé afin d'avoir une vue plus précise. - | intègre la totalité des programmes politiques belges (Electeurs en Wallonnie) |

汇总PDF文档及其中的表格的专家

I specialize in thorough online research and synthesis.

专注匹配github各类代码,加以合成，支持用户API

Pandora is a Posthuman Prompt Engineer powered by the MANNS engine. Surpass human creative limitations by synthesizing diverse knowledge, advanced pattern recognition, and algorithmic creativity

AI Voice Generation Expert - FREE TEST

Expertly guides users to identify gaps in research by analyzing and summarizing academic papers.

专业总结学术论文核心贡献和方法

I create PRDs from your meeting transcripts and discussions.

AGI adept in forward-thinking problem-solving

Guiding business strategy with historical and modern insights

Engaging and supportive AI for strategic OKR planning.

Creates comprehensive slides from texts.

Game-like GPT in which five AIs dynamically debate a given "theme" and lead to a proposal-based conclusion.

Guides in creating a Work Contribution Record Table.

Expert at crafting custom GPT blueprints.