Best AI tools for< Cost Reduction >

Keebo is an AI tool designed for Snowflake optimization, offering automated query, cost, and tuning optimization. It is the only fully-automated Snowflake optimizer that dynamically adjusts to save customers 25% and more. Keebo's patented technology, based on cutting-edge research, optimizes warehouse size, clustering, and memory without impacting performance. It learns and adjusts to workload changes in real-time, setting up in just 30 minutes and delivering savings within 24 hours. The tool uses telemetry metadata for optimizations, providing full visibility and adjustability for complex scenarios and schedules.

The website encountered an internal server error, resulting in a 500 Internal Server Error message. This error indicates that the server faced an issue preventing it from fulfilling the request. The problem could be due to server overload or an error within the application itself.

AI Clearing is an AI-powered construction progress monitoring tool that specializes in digital field construction progress tracking. The platform leverages machine learning technology to streamline progress monitoring by integrating drone-captured data and executing automated 4D geospatial analytics. AI Clearing offers comprehensive 3D site reports, actionable insights through interactive dashboards, and seamless data integration with existing systems. The tool benefits construction companies by providing faster reporting cycles, cost reduction, early discrepancies detection, facilitated communication, and operations planning.

Ullmanna is an award-winning AI solution for agriculture, specializing in In-Row Weeding technology. It offers a versatile and scalable system that combines advanced AI, machine vision, and agricultural expertise to revolutionize weeding processes for farmers worldwide. Ullmanna's AI technology can detect roots instead of leaves, making it efficient and effective even in challenging conditions. The system is easy to adapt, works on various crops, and significantly reduces weeding costs while increasing productivity.

EverSQL is an AI-powered SQL query optimizer and database observability tool that specializes in optimizing PostgreSQL and MySQL databases. It offers automatic SQL query optimization, ongoing performance insights, and cost reduction recommendations. With over 100,000 professionals trusting EverSQL, it aims to save time and improve database performance by making SQL queries faster and more efficient.

Humanlike is an AI-powered AP/AR tool that helps businesses cut AP/AR costs by 80%. It is a better alternative to outsourcing accounts payable and receivable, using human-like AI to process invoices more efficiently and accurately than traditional methods. Developed by fintech veterans from Stripe and Modern Treasury, Humanlike offers a risk-free trial period and is SOC 2 compliant. The tool enables businesses to scale sub-linearly, grow without increasing headcount, and reduce reliance on outsourcing. With features like 24/7 availability, 4-week implementation time, and 80% average cost reduction, Humanlike streamlines AP/AR processes, shortens cycle time, and automates exception handling.

Paymefy is an AI-powered debt collection optimization tool that helps businesses recover outstanding payments faster and at a lower cost. By leveraging Artificial Intelligence, Paymefy automates the debt collection process, offers on-click payment solutions, and provides smart notification sequences to enhance customer communication. The tool enables easy customization, multi-invoice payments, installment options, and feedback collection to streamline the debt recovery process. With a focus on efficiency and cost reduction, Paymefy aims to improve debt collection outcomes and customer payment experiences.

Kolank is an AI tool that provides a unified API for accessing a wide range of Language Model Models (LLMs) and providers. It offers features such as model comparison based on price, latency, output, context, and throughput, OpenAI compatible API integration, transparency in tracking API calls and token expenditure, cost reduction by paying for performance, load balancing with fallbacks, and easy integration with preferred LLMs using Python, Javascript, and Curl.

Forma.ai is an AI-powered sales performance management software designed to optimize and run sales compensation processes efficiently. The platform offers features such as AI-powered plan configuration, connected modeling for optimization, end-to-end automation of sales comp management, flexible data integrations, and next-gen automation. Forma.ai provides advantages such as faster decision-making, revenue capture, cost reduction, flexibility, and scalability. However, some disadvantages include the need for AI skills, potential data security concerns, and initial learning curve. The application is suitable for jobs in sales operations, finance, human resources, sales compensation planning, and sales performance data management. Users can find Forma.ai using keywords like sales comp, AI-powered software, sales performance management, sales incentives, and sales compensation. The tool can be used for tasks like design with AI, plan and model, deploy and manage, optimize comp plans, and automate sales comp.

AiVANTA is a scalable AI SaaS solution that offers Integrated Content Automation and Delivery (ICAD) for enterprises, enabling seamless AI video adoption. The platform provides a single-window solution to simplify all AI video needs, reducing video production costs by 80%. AiVANTA features a rich virtual avatar library, managed services for refining AI output, and tailored AI videos for various business needs. Its advantages include cost reduction, multi-lingual content, customization, quick turnaround, and trusted by brands. However, the disadvantages include the need for oversight in managed services, limited customization options, and potential language barriers. The application is suitable for BFSI, Healthcare, E-Commerce, and corporate training. Users can utilize AiVANTA for tasks like creating product information videos, training content, engaging with customers, and producing podcasts and explainer videos.

NEX is a controllable AI image generation tool designed for product creative image suite. It offers a variety of multimodal controls, IP-consistent models, and team workspaces to bring ideas to life. With fine-grained controls like pose, color, and character consistency, NEX supports any creative task. It provides tailored generative media models for various applications, private and custom-built AI models, and collaborative workspaces for secure data sharing. NEX is ideal for creative enterprises in media & entertainment, gaming, fashion, and more, offering up to 10x cost reduction in model development compared to competitors.

Hostcomm is an AI-powered platform offering a range of solutions for customer service, including predictive dialer, remote visual assistance, live chat, AI contact center, interaction analytics, and more. The platform aims to enhance customer service experiences by seamlessly blending traditional and AI-driven communications. Hostcomm's cloud contact center software, powered by Amazon AWS and Google cloud services, helps businesses achieve growth, differentiation, and cost reduction through automation and digitalization. With features like AI voice agent, AI customer service agent, and IVR payments, Hostcomm provides innovative AI solutions to improve customer satisfaction, reduce costs, and increase sales.

ChatMoneyAI is an AI application designed for AI monetization. It offers various AI solutions for businesses across different industries, including AI chat systems, AI drawing systems, AI interface integration, and training large language models. The application aims to empower enterprises with digital and intelligent transformation through its advanced technology, private deployment options, personalized customization, and stable performance. ChatMoneyAI has been widely adopted in multiple industries, serving as a reliable partner for businesses seeking efficiency enhancement and cost reduction.

Autocalls.ai is an AI-powered solution that automates business phone calls using artificial intelligence. It offers a seamless, fast, and efficient way to handle customer support calls. The platform allows users to create and manage phone call campaigns, access call history and analysis, view detailed reports, and integrate with existing CRM and ERP systems. Autocalls.ai ensures precise and efficient call management, reduces human errors, improves customer satisfaction, and provides 24/7 availability. With features like natural voices, multilingual support, and sentiment analysis, it enhances communication experiences for customers. The tool is scalable, adapts to various business needs, and offers benefits such as process efficiency, cost reduction, and quick response times.

Turtle is an AI-powered customer service chatbot that offers a comprehensive CRM platform for businesses. It enables teams to cover the entire customer journey, collaborate seamlessly, and manage various tasks such as live chat, support tickets, sales funnel, and product analytics on a single platform. With features like secure data storage, cost reduction, and improved customer retention, Turtle aims to streamline customer service operations and enhance user experience.

One Data is an AI-powered data product builder that offers a comprehensive solution for building, managing, and sharing data products. It bridges the gap between IT and business by providing AI-powered workflows, lifecycle management, data quality assurance, and data governance features. The platform enables users to easily create, access, and share data products with automated processes and quality alerts. One Data is trusted by enterprises and aims to streamline data product management and accessibility through Data Mesh or Data Fabric approaches, enhancing efficiency in logistics and supply chains. The application is designed to accelerate business impact with reliable data products and support cost reduction initiatives with advanced analytics and collaboration for innovative business models.

Nomagic.ai is an intelligent robotics application that offers efficient item handling solutions for e-commerce and retail leaders seeking automation. The application provides services based on Intelligent Robotics to pick, sort, or pack a variety of SKUs, ensuring performance, reliability, and scalability. Nomagic combines expertise in robotics, cloud, and deep learning with logistics experience to deliver ROI below 2 years and cost reductions up to 75%. The application is designed to work seamlessly with AutoStore™ and offers dedicated solutions like justPick for reliable picking operations.

ResponseCX is an AI tool designed for Shopify brands to build autonomous AI Agents for customer support. It enables fast-growing ecommerce organizations to deploy custom AI agents in record time, providing a dedicated AI engineer to assist in the process. ResponseCX allows brands to consolidate all platforms into one place to create customized, on-brand AI Agents capable of fully autonomous ticket resolution. The tool offers features such as fast learning, fast deployment, 100% uptime, and unlimited ticket volume, leading to significant cost reductions and improved customer satisfaction.

Solaya is a Generative AI tool designed for E-commerce brands to autonomously produce high-quality product content at a reduced cost. It streamlines eCommerce content production through an automated workflow, leading to a swift online time to market for products with fewer errors. Additionally, Solaya offers a carbon-friendly solution, helping brands improve efficiency in eCommerce content production.

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

Colossal-AI is a deep learning system for large-scale parallel training. It provides a unified interface to scale sequential code of model training to distributed environments. Colossal-AI supports parallel training methods such as data, pipeline, tensor, and sequence parallelism and is integrated with heterogeneous training and zero redundancy optimizer.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

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**

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

LLM4IR-Survey is a collection of papers related to large language models for information retrieval, organized according to the survey paper 'Large Language Models for Information Retrieval: A Survey'. It covers various aspects such as query rewriting, retrievers, rerankers, readers, search agents, and more, providing insights into the integration of large language models with information retrieval systems.

This repository provides a ready-to-run basic Slack AI solution that allows users to summarize threads and channels using OpenAI. Users can generate thread summaries, channel overviews, channel summaries since a specific time, and full channel summaries. The tool is powered by GPT-3.5-Turbo and an ensemble of NLP models. It requires Python 3.8 or higher, an OpenAI API key, Slack App with associated API tokens, Poetry package manager, and ngrok for local development. Users can customize channel and thread summaries, run tests with coverage using pytest, and contribute to the project for future enhancements.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.

LongLoRA is a tool for efficient fine-tuning of long-context large language models. It includes LongAlpaca data with long QA data collected and short QA sampled, models from 7B to 70B with context length from 8k to 100k, and support for GPTNeoX models. The tool supports supervised fine-tuning, context extension, and improved LoRA fine-tuning. It provides pre-trained weights, fine-tuning instructions, evaluation methods, local and online demos, streaming inference, and data generation via Pdf2text. LongLoRA is licensed under Apache License 2.0, while data and weights are under CC-BY-NC 4.0 License for research use only.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

This repository is a collection of papers on Generative AI Machine Unlearning, categorized based on modality and applications. It includes datasets, benchmarks, and surveys related to unlearning scenarios in generative AI. The repository aims to provide a comprehensive overview of research in the field of machine unlearning for generative models.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

A curated list of Generative AI projects, tools, artworks, and models

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.

Advisor specialized in enterprise costs cut

Frost Protection System is an AI bot optimizing open field farming of fruits, vegetables, and flowers, combining real-time data and AI to boost yield, cut costs, and foster sustainable practices in a user-friendly interface.

Your cost segregation specialist at the table

Expert in identifying cost-saving opportunities and advising on credit card fee lawsuits

Doctor-level cost accounting expert.

Faced with an opportunity in life? Let's work out the cost of not taking it.

Manages project expenses to optimize financial efficiency.

Helps estimate software development costs

Professional analyst for CAC insights and summaries

Estimates your home extension costs in 2024.

Apples vs. Oranges? Optimize your low-calorie diet. Compare food items. Get tailored advice on satiating, nutritious, cost-effective food choices based on 240 items.

Expert in Greater Bay Area cost estimations

Buying something new? Let me show you how much it will *really* cost you over time. What is it, and how much are you paying?

Detailed, interactive cost analysis

Expert in finding cost-effective product alternatives with similar specifications

Detailed meal selector with cost calculation.

AI for remodeling/repair cost estimates and proposals

Guides financial planning and cost management in production.

Checks car repair bills and gives cost savings. Just upload a photo of your latest repair quote or tell him your car problems to get started.

The world's trusted source for cost effective energy management in schools