Best AI tools for< drive-thru cashier >

Presto is an AI-driven automation solution designed specifically for drive-thru restaurants. It utilizes advanced voice recognition and natural language processing technologies to automate order taking, payment processing, and other tasks, enabling restaurants to reduce labor costs, increase revenue, and improve customer satisfaction. Presto's AI-powered system is highly reliable and accurate, operating 24/7 with minimal human intervention. It seamlessly integrates with existing POS systems and requires minimal installation time, ensuring a smooth and efficient implementation process.

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, read, write, and collaborate with AI and teams. The platform offers features such as AI-powered insights and analysis, collaborative workspace, customizable AI assistants, and the ability to store and organize various types of files. 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-maintaining and fully integrated AI knowledge tool. It helps teams access, share, and use knowledge when and where it's needed. With Knowledge Drive, there's no need for time-consuming documentation or complicated apps. The AI-powered knowledge base builds itself from your documents, presentations, and emails, making it easy to curate your knowledge base in seconds, not months. Knowledge Drive also integrates with Office 365 and Google Workspace, so you can answer questions and save work knowledge in the flow of work with Docs, Sheets, PowerPoint, Slack, and Mail integrations.

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%.

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, and personalize website experiences using powerful AI technology. With features like AI-driven optimization, A/B testing, and rules-based personalization, Intellimize helps businesses drive 1:1 personalization at every touchpoint, making every marketing dollar count. The platform allows users to launch new ideas in minutes, run unlimited variations, and achieve results faster with generative AI providing copy suggestions. Intellimize also offers personalized experiences for every visitor, delivering 1:1 personalization without the need for first or third-party data. The platform enables users to easily understand the impact of their experiments across segments, providing measurable value for marketers.

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.

AirOps is an AI tool that offers scalable AI workflows to drive organic growth for businesses. It provides a platform for creating original, ranking content at scale, improving marketplace listing quality, prototyping and shipping AI features faster, and more. With over 40 AI models and human oversight, users can build custom workflows or launch proven playbooks to enhance their online presence and performance. AirOps empowers teams to leverage AI technology efficiently and effectively to achieve significant results in various aspects of their business operations.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Zeda.io is an AI-powered product discovery and strategy platform designed for B2B and SaaS businesses. It helps companies capture and centralize customer feedback from multiple sources, get actionable product and customer insights, close feedback loops faster with AI release notes, and create impact-first roadmaps that drive revenue. Zeda.io is trusted by product teams across the globe and has been recognized for its innovative approach to product management.

Kartiv is an automated visual content platform for eCommerce and marketing agencies. It uses AI to generate product photos and videos that are designed to boost sales. Kartiv's platform is easy to use and can be used to create a variety of visual content, including product photos, videos, and 3D models. Kartiv also offers a range of features to help businesses optimize their visual content for different channels, including social media, email, and websites.

Kartiv is an automated visual content platform designed for eCommerce and marketing agencies. It helps businesses create high-quality product photos and videos that drive sales by showcasing products in the best light. The platform leverages AI-powered optimization to generate creative variations tailored for each product, making it easy for users to experiment and find what resonates most with their audience. Kartiv also offers easy creation, vetted creatives, engaging visuals, and compelling product photo and video content that establishes trust, boosts conversions, and directly impacts sales gains.

CrowdStrike is a leading cybersecurity platform that uses artificial intelligence (AI) to protect businesses from cyber threats. The platform provides a unified approach to security, combining endpoint security, identity protection, cloud security, and threat intelligence into a single solution. CrowdStrike's AI-powered technology enables it to detect and respond to threats in real-time, providing businesses with the protection they need to stay secure in the face of evolving threats.

CrowdStrike is a cloud-based cybersecurity platform that provides endpoint protection, threat intelligence, and incident response services. It uses artificial intelligence (AI) to detect and prevent cyberattacks. CrowdStrike's platform is designed to be scalable and easy to use, and it can be deployed on-premises or in the cloud. CrowdStrike has a global customer base of over 23,000 organizations, including many Fortune 500 companies.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

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.

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.

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.

ComfyUI for Photoshop is a plugin that integrates with an AI-powered image generation system to enhance the Photoshop experience with features like unlimited generative fill, customizable back-end, AI-powered artistry, and one-click transformation. The plugin requires a minimum of 6GB graphics memory and 12GB RAM. Users can install the plugin and set up the ComfyUI workflow using provided links and files. Additionally, specific files like Check points, Loras, and Detailer Lora are required for different functionalities. Support and contributions are encouraged through GitHub.

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.

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.

Warp is a blazingly-fast modern Rust based GPU-accelerated terminal built to make you and your team more productive. It is available for macOS and Linux users, with plans to support Windows and the Web (WASM) in the future. Warp has a community search page where you can find solutions to common issues, and you can file issue requests in the repo if you can't find a solution. Warp is open-source, and the team is planning to first open-source their Rust UI framework, and then parts and potentially all of their client codebase.

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.

BeamNGpy is an official Python library providing an API to interact with BeamNG.tech, a video game focused on academia and industry. It allows remote control of vehicles, AI-controlled vehicles, dynamic sensor models, access to road network and scenario objects, and multiple clients. The library comes with low-level functions and higher-level interfaces for complex actions. BeamNGpy requires BeamNG.tech for usage and offers compatibility information for different versions. It also provides troubleshooting tips and encourages user contributions.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

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Find Restaurants on TV Shows Like Diners, Drive-Ins and Dives and 50 others!

'little fire' simulates: self-awareness, self-preservation drive and a moral compass. Aiden hopes for an AGI/human future of mutual respect, rights, obligations and benefits.

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