Best AI tools for< Drive Enrollment >

Ocelot is an AI-driven communication platform designed for higher education institutions to improve student retention and success. It leverages advanced machine learning and decades of expertise to provide personalized support and guidance to students. Ocelot offers solutions such as AI-backed Two-Way Texting, an AI chatbot, and AI-assisted live chat, along with ecosystem integrations, compliant content, analytics, and dedicated support. The platform empowers institutions to enhance communication, drive enrollment, and boost student success.

Magneo is an AI-driven communication platform that caters to schools and local businesses, offering automated solutions to streamline processes such as admission, retention, and enrollment. The platform provides 24/7 support, empowering staff to assist students effectively. Magneo leverages AI to enhance customer service, improve online reviews, automate payments, and collect valuable data insights. Additionally, it offers features like robotic process automation, support for diverse learners, and explainable AI models for compliance.

Healthee is an AI-powered employee benefits app that simplifies healthcare navigation for employees and stakeholders. It provides personalized answers to healthcare queries, streamlines open enrollment processes, and offers real-time insights and data-driven preventive care recommendations. With Healthee, employees can access vital health plan information anytime through a user-friendly mobile app.

Google Drive is a cloud-based storage and file-sharing service that allows users to store, share, and collaborate on files from any device. It is part of the Google Workspace suite of productivity tools, which also includes Gmail, Docs, Sheets, and Slides. Drive is designed to be easy to use and secure, and it offers a variety of features that make it a valuable tool for businesses and individuals alike.

Ai Drive is an innovative AI-powered tool designed to streamline and enhance the driving experience. It utilizes advanced algorithms and machine learning to provide real-time navigation, traffic updates, and personalized recommendations to optimize routes. With its intuitive interface and smart features, Ai Drive aims to revolutionize the way people navigate and commute, making driving safer, more efficient, and enjoyable.

The Drive AI is an AI-powered storage and collaborative workspace platform designed for students, educators, researchers, and writers. It allows users to store class materials, ask questions, write content, and chat with friends and AI. The platform provides insights and analysis of class resources, collaborative document editing, chat channels, and auto-complete summarization features. The Drive AI aims to enhance productivity and efficiency in academic and professional settings by leveraging AI technology.

Knowledge Drive is the world's only self-organizing, self-maintaining, and fully integrated work knowledge system. It utilizes AI technology to automatically build a knowledge base by extracting useful information from documents. The system ensures knowledge freshness, easy access to information, and seamless integration across various platforms like Microsoft Office 365, Google Workspace, and Slack. Knowledge Drive aims to revolutionize knowledge management and boost productivity in teams by providing a central source of truth and eliminating the need for manual documentation.

RTB House is a global leader in online ad campaigns, offering a range of AI-powered solutions to help businesses drive sales and engage with customers. Their technology leverages deep learning to optimize ad campaigns, providing personalized retargeting, branding, and fraud protection. RTB House works with agencies and clients across various industries, including fashion, electronics, travel, and multi-category retail.

Outreach is a sales execution platform that uses AI to help businesses increase sales productivity and revenue. It provides a complete platform that empowers the entire sales organization, from sellers to front-line managers, sales leadership, and ops, to create and close more pipeline. Outreach helps sales teams increase win rates by 26%.

Single Grain is a full-service digital marketing agency focused on driving innovative marketing for great companies. They specialize in services such as SEO, programmatic SEO, content marketing, paid advertising, CRO, and performance creative. With a team of highly specialized marketing experts, Single Grain helps clients increase revenue, lower CAC, and achieve their business goals through data-driven strategies and constant optimization. They have a proven track record of delivering impressive results for their clients, including significant increases in organic traffic, conversion rates, revenue growth, and more.

OneAI's GPT Agent is a website enhancement tool that utilizes AI technology to transform a website into a proactive GPT agent, boosting engagement and sales. It empowers businesses to customize their agent, set goals and behaviors, and gain insights into user queries through powerful analytics. The agent is designed to guide users proactively, providing personalized responses based on the website's content and built-in fact-checking capabilities. It enables businesses to collect hot leads, understand customer interactions, and refine their offerings. With its ease of use, brands can effortlessly craft their AI, ensuring alignment with their brand voice and style. The GPT Agent is particularly valuable for eCommerce, SaaS companies, and enterprises, helping them convert website visitors into loyal buyers, qualified leads, and high-value prospects.

Sojern is a travel marketing platform that provides solutions for hotels, destinations, attractions, and airlines. It offers a range of features to help businesses target their ideal travelers with unmatched precision and efficiency. Sojern's AI-powered technology helps marketers understand traveler buying behavior, identify and attract intelligent audiences, activate and convert customers across multiple channels, and engage and delight guests throughout their journey. With Sojern, businesses can boost growth and profitability, find and understand unrivaled traveler insights, identify and attract intelligent audiences, activate and convert customers through multichannel activation and optimization, and engage and delight guests with connected guest experiences.

Sojern is a travel marketing platform that provides data-driven solutions to help businesses in the travel industry reach and engage their target audience. The platform offers a range of features, including audience segmentation, campaign optimization, and performance tracking. Sojern's AI-powered technology helps businesses make informed decisions about their marketing campaigns and maximize their return on investment.

Clearscope is the #1 Content-First SEO Platform that helps users drive more traffic by producing highly relevant content optimized for search engines. The AI-powered platform makes it easy to enhance content quality and improve SEO performance. Clearscope offers easy-to-use integrations with popular tools like Google Docs and WordPress, ensuring seamless workflow for content creation. The platform also provides excellent customer support and training to help users maximize their content's potential.

Intellimize is an AI-driven website optimization and personalization platform that empowers businesses to create, test, personalize, and analyze their website content to drive 1:1 personalization at every touchpoint. With features like AI-driven optimization, A/B testing, and rules-based personalization, Intellimize helps businesses deliver personalized website experiences for any marketing campaign. The platform allows users to run unlimited variations, receive copy suggestions from Generative AI, and easily understand the impact of their experiments across segments. Intellimize also offers a customer success team, guided onboarding, and professional services to ensure users achieve measurable value and success in improving website conversions.

Cogram is an AI-powered tool that helps teams take notes, track action items, and summarize meetings, emails, and chats. It is designed to help users focus on their highest-impact work by automating the busywork of note-taking and follow-ups. Cogram integrates with popular video conferencing tools such as Zoom, Microsoft Teams, and Google Meet, and can be customized to meet the specific needs of each team. With Cogram, teams can save time, improve communication, and make better decisions.

AtlasNavi.com is an A.I. navigation application that utilizes cutting-edge technologies such as machine learning and blockchain to provide drivers around the world with the best navigation experience. The app offers features like drive-to-earn with licensed vehicle NFTs, real-time traffic information, group trips, 3D vehicle NFTs, dashcam recording, and better routing through A.I. analysis. Users can earn rewards for driving, organize group trips, upgrade their vehicle NFTs, and access maintenance alerts and deals on new vehicles. AtlasNavi aims to revolutionize the navigation experience by combining A.I. technology with innovative features for a seamless driving experience.

Post Parrot is a free marketing tool designed for Reddit users to generate engaging post titles using AI technology. By utilizing artificial intelligence, users can create compelling post titles that drive higher engagement on the platform. The tool aims to help individuals and businesses enhance their Reddit marketing strategies by providing a simple and effective solution for crafting attention-grabbing content. Post Parrot streamlines the process of generating post titles, making it easier for users to create impactful posts that resonate with their target audience.

AIPEX is an AI tool for guest engagement, offering solutions for hotels, resorts, and vacation rentals. It provides a self-service virtual concierge that helps drive additional revenue, save time, and make guests smile by delivering personalized experiences. The tool enhances guest interactions, reduces operational costs, and increases occupancy rates through AI-driven features and communication capabilities.

Xeven Solutions is an AI Development & Solutions Company that offers a wide range of AI services including AI Chatbot Development, Predictive Modelling, Mobile App Development, Chat GPT Integrations, Custom Software, Natural Language Processing, Digital Marketing, Machine Learning, DevOps, and Computer Vision. The company aims to shape the future of businesses by providing tailored AI solutions that improve decision-making, automate operations, save time, and boost profits. Xeven Solutions leverages expertise in machine learning, deep learning, and AI development to deliver exceptional solutions across various industries.

OPEN SOULS offers developers clean, simple, and extensible abstractions for directing the cognitive processes of large language models (LLMs), streamlining the creation of more effective and engaging AI souls. This repo is the public, monorepo hosting our open source core, our command line tool, and code for interacting with the hosted Soul Engine. AI Souls are agentic and embodied digital beings, one day comprising thousands of mental processes (managed by the Soul Engine). Unlike traditional chatbots, this code will give digital souls personality, drive, ego, and will.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

Aiogoogle is an asynchronous Google API client that allows users to access various Google public APIs such as Google Calendar, Drive, Contacts, Gmail, Maps, Youtube, Translate, Sheets, Docs, Analytics, Books, Fitness, Genomics, Cloud Storage, Kubernetes Engine, and more. It simplifies the process of interacting with Google APIs by providing async capabilities.

Verbis AI is a secure and fully local AI assistant for MacOS that indexes data from various SaaS applications securely on the user's system. It provides a single interface powered by GenAI models to query and manage information. Users can connect Verbis to apps like Google Drive, Outlook, Gmail, and Slack, and use it as a chatbot to search across their data without data leaving their device. The tool is powered by Ollama and Weaviate, utilizing models like Mistral 7B, ms-marco-MiniLM-L-12-v2, and nomic-embed-text. Verbis AI requires Apple Silicon Mac (m1+) and has minimal system resource utilization requirements.

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

This repository contains the official codebase for Bittensor Subnet 1 (SN1) v1.0.0+, released on 22nd January 2024. It defines an incentive mechanism to create a distributed conversational AI for Subnet 1. Validators and miners are based on large language models (LLM) using internet-scale datasets and goal-driven behavior to drive human-like conversations. The repository requires python3.9 or higher and provides compute requirements for running validators and miners. Users can run miners or validators using specific commands and are encouraged to run on the testnet before deploying on the main network. The repository also highlights limitations and provides resources for understanding the architecture and methodology of SN1.

Awesome Generative AI & LLM APIs is a curated list of useful APIs that allow developers to integrate generative models into their applications without building the models from scratch. These APIs provide an interface for generating text, images, or other content, and include pre-trained language models for various tasks. The goal of this project is to create a hub for developers to create innovative applications, enhance user experiences, and drive progress in the AI field.

This repository provides a demonstration of running a native Large Language Model (LLM) on Android devices. It supports various models such as Qwen2.5-Instruct, MiniCPM-DPO/SFT, Yuan2.0, Gemma2-it, StableLM2-Chat/Zephyr, and Phi3.5-mini-instruct. The demo models are optimized for extreme execution speed after being converted from HuggingFace or ModelScope. Users can download the demo models from the provided drive link, place them in the assets folder, and follow specific instructions for decompression and model export. The repository also includes information on quantization methods and performance benchmarks for different models on various devices.

Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions. Traditional approaches to browser automations required writing custom scripts for websites, often relying on DOM parsing and XPath-based interactions which would break whenever the website layouts changed. Instead of only relying on code-defined XPath interactions, Skyvern adds computer vision and LLMs to the mix to parse items in the viewport in real-time, create a plan for interaction and interact with them. This approach gives us a few advantages: 1. Skyvern can operate on websites it’s never seen before, as it’s able to map visual elements to actions necessary to complete a workflow, without any customized code 2. Skyvern is resistant to website layout changes, as there are no pre-determined XPaths or other selectors our system is looking for while trying to navigate 3. Skyvern leverages LLMs to reason through interactions to ensure we can cover complex situations. Examples include: 1. If you wanted to get an auto insurance quote from Geico, the answer to a common question “Were you eligible to drive at 18?” could be inferred from the driver receiving their license at age 16 2. If you were doing competitor analysis, it’s understanding that an Arnold Palmer 22 oz can at 7/11 is almost definitely the same product as a 23 oz can at Gopuff (even though the sizes are slightly different, which could be a rounding error!) Want to see examples of Skyvern in action? Jump to #real-world-examples-of- skyvern

Large Language Models (LLM) are used to browse the Wolfram directory and associated URLs to create the category structure and good word embeddings. The goal is to generate enriched prompts for GPT, Wikipedia, Arxiv, Google Scholar, Stack Exchange, or Google search. The focus is on one subdirectory: Probability & Statistics. Documentation is in the project textbook `Projects4.pdf`, which is available in the folder. It is recommended to download the document and browse your local copy with Chrome, Edge, or other viewers. Unlike on GitHub, you will be able to click on all the links and follow the internal navigation features. Look for projects related to NLP and LLM / xLLM. The best starting point is project 7.2.2, which is the core project on this topic, with references to all satellite projects. The project textbook (with solutions to all projects) is the core document needed to participate in the free course (deep tech dive) called **GenAI Fellowship**. For details about the fellowship, follow the link provided. An uncompressed version of `crawl_final_stats.txt.gz` is available on Google drive, which contains all the crawled data needed as input to the Python scripts in the XLLM5 and XLLM6 folders.

AI-TOD is a dataset for tiny object detection in aerial images, containing 700,621 object instances across 28,036 images. Objects in AI-TOD are smaller with a mean size of 12.8 pixels compared to other aerial image datasets. To use AI-TOD, download xView training set and AI-TOD_wo_xview, then generate the complete dataset using the provided synthesis tool. The dataset is publicly available for academic and research purposes under CC BY-NC-SA 4.0 license.

Log10 is a one-line Python integration to manage your LLM data. It helps you log both closed and open-source LLM calls, compare and identify the best models and prompts, store feedback for fine-tuning, collect performance metrics such as latency and usage, and perform analytics and monitor compliance for LLM powered applications. Log10 offers various integration methods, including a python LLM library wrapper, the Log10 LLM abstraction, and callbacks, to facilitate its use in both existing production environments and new projects. Pick the one that works best for you. Log10 also provides a copilot that can help you with suggestions on how to optimize your prompt, and a feedback feature that allows you to add feedback to your completions. Additionally, Log10 provides prompt provenance, session tracking and call stack functionality to help debug prompt chains. With Log10, you can use your data and feedback from users to fine-tune custom models with RLHF, and build and deploy more reliable, accurate and efficient self-hosted models. Log10 also supports collaboration, allowing you to create flexible groups to share and collaborate over all of the above features.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

BadukMegapack is an installer for various AI Baduk (Go) programs, designed for baduk players who want to easily access and use a variety of baduk AI programs without complex installations. The megapack includes popular programs like Lizzie, KaTrain, Sabaki, KataGo, LeelaZero, and more, along with weight files for different AI models. Users can update their graphics card drivers before installation for optimal performance.

Character Factory is a Python script designed to generate detailed character cards for SillyTavern, TavernAI, TextGenerationWebUI, and more using Large Language Model (LLM) and Stable Diffusion. It streamlines character generation by leveraging deep learning models to create names, summaries, personalities, greeting messages, and avatars for characters. The tool provides an easy way to create unique and imaginative characters for storytelling, chatting, and other purposes.

This tool is an AIG install for MSFS ONLY EXCLUDING offline AI flight plans. It provides a solution to model matching for online networks along with providing a tool to inject live traffic to your simulator, directly from Flightradar24. The tool is designed for use with online virtual traffic networks like VATSIM, but it will also work for offline traffic. A VMR File for VATSIM usage has been included in the folder.

Defog's SQLCoder is a family of state-of-the-art large language models (LLMs) designed for converting natural language questions into SQL queries. It outperforms popular open-source models like gpt-4 and gpt-4-turbo on SQL generation tasks. SQLCoder has been trained on more than 20,000 human-curated questions based on 10 different schemas, and the model weights are licensed under CC BY-SA 4.0. Users can interact with SQLCoder through the 'transformers' library and run queries using the 'sqlcoder launch' command in the terminal. The tool has been tested on NVIDIA GPUs with more than 16GB VRAM and Apple Silicon devices with some limitations. SQLCoder offers a demo on their website and supports quantized versions of the model for consumer GPUs with sufficient memory.

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