Best AI tools for< Maximize Inventory Control >

ThroughPut AI is a supply chain decision intelligence and analytics platform designed for outcome-driven supply chain decision-makers. It provides accurate demand forecasting, capacity planning, logistics management, and financial insights to drive business results. ThroughPut AI offers a single source of truth for supply chain professionals, enabling them to make faster, better, and confident decisions. The platform helps unlock efficiency, profitability, and growth in day-to-day operations by providing intelligent data-driven recommendations.

Grain Warehouse AI is an innovative AI tool designed to optimize grain storage management. The application utilizes advanced algorithms and machine learning techniques to analyze grain storage data, predict optimal storage conditions, and recommend inventory management strategies. With Grain Warehouse AI, users can efficiently monitor grain quality, prevent spoilage, and maximize storage capacity. The tool provides real-time insights and actionable recommendations to help grain warehouse operators streamline operations and improve overall efficiency.

Bidinfluence is a cutting-edge SSP that helps publishers maximize ad revenue through programmatic technology. Their robust platform automates monetization, offering real-time data and full-featured SSP. With a team of passionate adtech professionals, their mission is to improve monetization opportunities for independent publishers. Bidinfluence's AI and machine learning solution empowers publishers to unlock additional revenue potential, delivering ads across screens, formats, and verticals.

Hypersonix is a leading generative AI platform for commerce, offering ProfitGPT and various AI solutions such as Competitor AI, Forecasting AI, Promo AI, and Inventory AI. It provides advanced algorithms to help retailers and DTC brands grow market share, maximize product margins, and make data-driven decisions. Hypersonix empowers users with real-time insights, automation, and optimization tools to enhance profitability and competitiveness in the retail industry.

Just Walk Out technology is a checkout-free shopping experience that allows customers to enter a store, grab whatever they want, and quickly get back to their day, without having to wait in a checkout line or stop at a cashier. The technology uses camera vision and sensor fusion, or RFID technology which allows them to simply walk away with their items. Just Walk Out technology is designed to increase revenue with cost-optimized technology, maximize space productivity, increase throughput, optimize operational costs, and improve shopper loyalty.

AppMonsta is an AI-powered platform that provides comprehensive app market insights, data analytics, and inventory management solutions. It offers APIs, data access, and AI capabilities to empower users with intuitive insights for decision-making processes. The platform aims to simplify app understanding through natural language generation and maximize revenue by selling smart. AppMonsta caters to various industries such as education, AdTech, and gaming, offering tools and techniques to drive success in app development and marketing strategies.

Dropshipping Copilot is an AI-assisted tool for dropshippers and e-commerce enthusiasts. It offers data-driven insights, top product searches, and supplier sourcing to help users grow their sales and profits efficiently. With over 231,487 users, Dropshipping Copilot provides access to over 200 million trending products and 300,000 suppliers from AliExpress. Its AI-assisted product selection feature provides instant matches based on keywords, helping users expand their creative selection and improve accuracy with each pick. The tool also offers AI-powered image enhancement, title optimization, and Shopify sync for seamless product listing and inventory management. Dropshipping Copilot provides market intelligence, including trend detection, competitive analysis, and strategic insights, to help users refine their approach and gain an edge in the market. It also offers cost efficiency, profit growth, and informed supplier selection to help users maximize their margins. The tool's workflow automation features, such as auto-listing, bulk pricing, and real-time sync, streamline operations and save time. Dropshipping Copilot is designed to help users uncover new products, elevate their listings, equip themselves with data-driven insights, boost their margins, and streamline their workflow.

Delta3 AI is an AI-powered tool that offers advanced stock analysis and insights to help investors make informed decisions. The application leverages artificial intelligence technology to analyze market trends and identify stocks with breakout potential. Users can receive alerts on high-potential stock movements and expert analysis to guide their investment strategies. Additionally, Delta3 AI provides services such as investor relations support, investor presentations, message development, and analyst relations to enhance communication with investors and maximize shareholder value.

Finta is an AI-powered platform designed to streamline fundraising processes for startups and high-growth companies. Trusted by over 8,000 top-tier companies, funds, and partners, Finta offers tools to optimize fundraising potential, enhance investor relations, and provide real-time insights. The platform leverages AI technology to personalize email scripts, recommend top investors, and facilitate warm introductions. Finta also features a comprehensive CRM system, due diligence smart links, and a collaborative environment for team members, shareholders, and advisors. With a focus on empowering users with tools and knowledge, Finta aims to revolutionize the fundraising experience.

Entera is an advanced residential real estate investment platform that enables investors to find, buy, and operate single-family homes at scale. Fueled by AI and full-service transaction services, Entera serves operators, funds, agents, and builders by providing access to on and off-market homes, real-time market data, analytics tools, and expert services. The platform modernizes the real estate buying process, helping clients make data-driven investment decisions, scale their operations, and maximize success.

Reconcile is a finance app designed specifically for multipreneurs, individuals with multiple businesses or income streams. It automates bookkeeping, connects users with tax professionals, and provides financial insights to help users focus on growth. Reconcile's AI assistant tracks expenses, maximizes write-offs, and provides personalized recommendations to help users make more profitable decisions.

Archistar is a leading property research platform in Australia that empowers users to make confident and compliant property decisions with the help of data and AI. It offers a range of features, including the ability to find and assess properties, generate 3D design concepts, and minimize risk and maximize return on investment. Archistar is trusted by over 100,000 individuals and 1,000 leading property firms.

Likely.AI is an AI-powered platform designed for the real estate industry, offering innovative solutions to enhance database management, marketing content creation, and predictive analytics. The platform utilizes advanced AI models to predict likely sellers, update contact information, and trigger automated notifications, ensuring real estate professionals stay ahead of the competition. With features like contact enrichment, predictive modeling, 24/7 contact monitoring, and AI-driven marketing content generation, Likely.AI revolutionizes how real estate businesses operate and engage with their clients. The platform aims to streamline workflows, improve lead generation, and maximize ROI for users in the residential real estate sector.

hoopsAI is a pioneering technology company committed to empowering retail investors in the stock market. Our cutting-edge platform leverages the immense power of large language models (LLMs) to provide personalized insights. Through continuous fine-tuning, we enhance customization and precision, enabling you to make informed decisions and maximize your understanding of the markets.

Landscape is an AI operating system designed for venture capital firms and investors. It provides advanced analytics and insights to help users make data-driven investment decisions. The platform leverages machine learning algorithms to analyze market trends, identify potential investment opportunities, and optimize portfolio performance. With Landscape, users can streamline their investment process, gain a competitive edge, and maximize returns.

Deferred.com is a free AI tool designed to assist users with 1031 exchanges, a tax-deferral strategy in real estate investment. The platform offers a range of resources, including an exchange calculator, expert answers, and matching with 1031 professionals. Users can optimize tax savings, find the right intermediary, and access essential reading materials on tax deferral and exchange rules. With a focus on simplifying the complex process of 1031 exchanges, Deferred.com aims to empower real estate investors to make informed decisions and maximize their financial benefits.

Social Champ is a social media management tool designed for agencies, startups, SMBs, entrepreneurs, marketers, and influencers. It offers powerful social media management capabilities with multiple automation features and integrations. Users can create, schedule, organize, and analyze multiple social accounts, manage conversations, and maximize exposure intelligently. The tool provides features such as publishing, calendar management, analytics tracking, engagement tools, and platform integrations. Social Champ aims to streamline social media efforts, boost productivity, and enhance effectiveness for social media marketing.

Rize is an AI productivity coach that uses time tracking to improve your focus and build better work habits. It analyzes your activity to advise you in real-time on when to focus, when to take breaks, and when you're getting off track. Rize provides you with the tools to deepen your ability to focus, including app & website blocking, focus music, a more flexible Pomodoro timer, and in-depth, personalized metrics. It also helps you build better work habits by alerting you at the ideal time to take a break and offering screen-blocking features to ensure these breaks are truly effective.

TinderProfile.ai is an AI-powered service designed to enhance online dating profiles by generating high-quality, realistic photos using artificial intelligence technology. By uploading 10-20 photos, users can receive a set of eye-catching images that aim to improve their match rate on dating apps. The service focuses on creating authentic and attention-grabbing pictures that reflect the user's personality, helping them stand out in the online dating world. With a quick turnaround time and affordable pricing, TinderProfile.ai offers a convenient solution for individuals looking to upgrade their online presence effortlessly.

AdIntelli is an AI tool that helps users earn revenue from their AI Agent by integrating in-chat ads. It maximizes the value of ad impressions across global networks using advanced AI-driven monetization technology. AdIntelli offers a prime channel for advertising AI applications, with optimized ads that seamlessly integrate into AI conversations. Users can easily add ads to their AI Agent in just 5 minutes without any coding skills, creating a new business model for AI applications.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.

ChatGPT Shortcut is an AI tool designed to maximize efficiency and productivity by providing a concise list of AI instructions. Users can easily find prompts suitable for various scenarios, boosting productivity and work efficiency. The tool offers one-click prompts, optimization for non-English languages, prompt saving and sharing, and a community voting system. It includes a browser extension compatible with Chrome, Edge, Firefox, and other Chromium-based browsers, as well as a Tampermonkey script for custom domain use. The tool is open-source, allowing users to modify the website's nomenclature, usage directives, and prompts for different languages.

WebDB is a comprehensive and free database Integrated Development Environment (IDE) designed to maximize efficiency in database development and management. It simplifies and enhances database operations with features like DBMS discovery, query editor, time machine, NoSQL structure inferring, modern ERD visualization, and intelligent data generator. Developed with robust web technologies, WebDB is suitable for both novice and experienced database professionals.

Pwnagotchi is an AI tool leveraging bettercap to learn from WiFi environments and maximize crackable WPA key material. It uses LSTM with MLP feature extractor for A2C agent, learning over epochs to improve performance in various WiFi environments. Units can cooperate using a custom parasite protocol. Visit https://www.pwnagotchi.ai for documentation and community links.

Stake-auto-bot is a tool designed for automated staking in the cryptocurrency space. It allows users to set up automated processes for staking their digital assets, providing a convenient way to earn rewards and secure networks. The tool simplifies the staking process by automating the necessary steps, such as selecting validators, delegating tokens, and monitoring rewards. With Stake-auto-bot, users can optimize their staking strategies and maximize their returns with minimal effort.

This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources

This repository contains code and results for jailbreaking leading safety-aligned LLMs with simple adaptive attacks. We show that even the most recent safety-aligned LLMs are not robust to simple adaptive jailbreaking attacks. We demonstrate how to successfully leverage access to logprobs for jailbreaking: we initially design an adversarial prompt template (sometimes adapted to the target LLM), and then we apply random search on a suffix to maximize the target logprob (e.g., of the token ``Sure''), potentially with multiple restarts. In this way, we achieve nearly 100% attack success rate---according to GPT-4 as a judge---on GPT-3.5/4, Llama-2-Chat-7B/13B/70B, Gemma-7B, and R2D2 from HarmBench that was adversarially trained against the GCG attack. We also show how to jailbreak all Claude models---that do not expose logprobs---via either a transfer or prefilling attack with 100% success rate. In addition, we show how to use random search on a restricted set of tokens for finding trojan strings in poisoned models---a task that shares many similarities with jailbreaking---which is the algorithm that brought us the first place in the SaTML'24 Trojan Detection Competition. The common theme behind these attacks is that adaptivity is crucial: different models are vulnerable to different prompting templates (e.g., R2D2 is very sensitive to in-context learning prompts), some models have unique vulnerabilities based on their APIs (e.g., prefilling for Claude), and in some settings it is crucial to restrict the token search space based on prior knowledge (e.g., for trojan detection).

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

This repository contains code for the O'Reilly Live Online Training for Deploying GPT & LLMs. Learn how to use GPT-4, ChatGPT, OpenAI embeddings, and other large language models to build applications for experimenting and production. Gain practical experience in building applications like text generation, summarization, question answering, and more. Explore alternative generative models such as Cohere and GPT-J. Understand prompt engineering, context stuffing, and few-shot learning to maximize the potential of GPT-like models. Focus on deploying models in production with best practices and debugging techniques. By the end of the training, you will have the skills to start building applications with GPT and other large language models.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

llmcord.py enables collaborative LLM prompting in your Discord server. It works with practically any LLM, remote or locally hosted. ### Features ### Reply-based chat system Just @ the bot to start a conversation and reply to continue. Build conversations with reply chains! You can do things like: - Build conversations together with your friends - "Rewind" a conversation simply by replying to an older message - @ the bot while replying to any message in your server to ask a question about it Additionally: - Back-to-back messages from the same user are automatically chained together. Just reply to the latest one and the bot will see all of them. - You can seamlessly move any conversation into a thread. Just create a thread from any message and @ the bot inside to continue. ### Choose any LLM Supports remote models from OpenAI API, Mistral API, Anthropic API and many more thanks to LiteLLM. Or run a local model with ollama, oobabooga, Jan, LM Studio or any other OpenAI compatible API server. ### And more: - Supports image attachments when using a vision model - Customizable system prompt - DM for private access (no @ required) - User identity aware (OpenAI API only) - Streamed responses (turns green when complete, automatically splits into separate messages when too long, throttled to prevent Discord ratelimiting) - Displays helpful user warnings when appropriate (like "Only using last 20 messages", "Max 5 images per message", etc.) - Caches message data in a size-managed (no memory leaks) and per-message mutex-protected (no race conditions) global dictionary to maximize efficiency and minimize Discord API calls - Fully asynchronous - 1 Python file, ~200 lines of code

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