Best AI tools for< Optimizing Queries >

Kore.ai is an AI-powered platform that offers bot development and integration solutions for businesses. It provides tools and resources for building, managing, and optimizing chatbots and virtual assistants. The platform supports various channels and integrations, enabling seamless communication and automation for customer service, sales, and other business functions.

Chatflot is an AI chatbot application that helps businesses automate up to 95% of customer queries. It allows users to create customized AI chatbots based on the ChatGPT language model, enabling them to provide on-demand information to customers through their website. Chatflot is suitable for various industries and offers features like training the chatbot on specific data, optimizing customer interactions, and integrating seamlessly with different CMS platforms. The application aims to enhance customer service, boost sales, and streamline support processes by providing personalized assistance and relevant information to users.

Prompt Engineering is a discipline focused on developing and optimizing prompts to efficiently utilize language models (LMs) for various applications and research topics. It involves skills to understand the capabilities and limitations of large language models, improving their performance on tasks like question answering and arithmetic reasoning. Prompt engineering is essential for designing robust prompting techniques that interact with LLMs and other tools, enhancing safety and building new capabilities by augmenting LLMs with domain knowledge and external tools.

Peak is a game-changing AI platform designed to optimize product inventory and pricing for businesses of all sizes. It offers unique AI solutions tailored to each business, transforming decision-making processes and driving competitive advantage. With a focus on inventory intelligence, pricing intelligence, and AI performance guarantee, Peak aims to accelerate growth, widen margins, and increase profits for its users.

Qortex is a video intelligence platform that offers advanced AI technology to optimize advertising, monetization, and analytics for video content. The platform analyzes video frames in real-time to provide deep insights for media investment decisions. With features like On-Stream ad experiences and in-video ad units, Qortex helps brands achieve higher audience attention, revenue per stream, and fill rates. The platform is designed to enhance brand metrics and improve advertising performance through contextual targeting.

OtterTune was a database tuning service start-up founded by Carnegie Mellon University. Unfortunately, the company is no longer operational. The founder, DJ OT, is currently in prison for a parole violation. Despite the challenges, the team and investors were dedicated to the project. OtterTune aimed to optimize database performance through innovative tuning techniques.

Collective[i] is an AI-powered platform that helps businesses optimize their sales processes by leveraging AI technology to forecast sales, improve productivity, and grow revenue. The platform provides insights, automates tasks, and enhances decision-making to drive revenue optimization. Collective[i] offers applications such as Intelligent WriteBack™ for data cleansing, C[i]™ for Sales for buyer-centric selling, and Intelligence.com® for surfacing connections. The platform prioritizes enterprise-level security and privacy to ensure the confidentiality and integrity of business information.

SynPlan is an AI solution designed to optimize healthcare workforce planning by predicting sick-leave absence and budget expenses. By utilizing advanced AI technology, SynPlan assists healthcare organizations in creating efficient plans, controlling budgets, and ensuring compliance with regulations. The application streamlines the staff planning process, enhances employee involvement, and increases continuity for patients. SynPlan is a product from Chiron Predictive Technologies AS, offering a comprehensive solution for workforce optimization in the healthcare sector.

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.

Embedl is an AI tool that specializes in developing advanced solutions for efficient AI deployment in embedded systems. With a focus on deep learning optimization, Embedl offers a cost-effective solution that reduces energy consumption and accelerates product development cycles. The platform caters to industries such as automotive, aerospace, and IoT, providing cutting-edge AI products that drive innovation and competitive advantage.

The website focuses on the DARROW project, which aims to make wastewater treatment more sustainable and efficient using a data-driven AI solution. It brings together experts from various disciplines to optimize resource recovery from wastewater, reduce energy consumption, and contribute to a circular economy. The project utilizes AI to enhance operational efficiency in wastewater treatment plants and explores innovative solutions for cleaner water management.

Maintain-AI is an automated pavement assessment tool that utilizes cutting-edge computer vision and AI technologies to simplify and accelerate road assessments. It enables road asset professionals to make informed decisions by collecting and analyzing data from road network images. The tool aims to optimize the use of available budgets and improve the efficiency of pavement and infrastructure management through consistent and objective inspections.

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, streamlines payment procedures, and enhances customer communication. The platform offers features such as on-click payment solutions, smart notification sequences, customization options, and feedback collection mechanisms. With Paymefy, businesses can improve their debt recovery rates, reduce operational costs, and facilitate seamless payment experiences for customers.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

Go Eliza is an AI-powered tool that leverages artificial intelligence to negotiate better deals directly with hotels. The platform aims to provide users with cost-effective solutions for their accommodation needs by utilizing advanced algorithms and machine learning capabilities. By automating the negotiation process, Go Eliza streamlines the booking experience and helps users secure competitive rates without the hassle of manual price comparisons. With a user-friendly interface and seamless integration, Go Eliza offers a convenient and efficient way to optimize hotel bookings.

The website page is related to Cloudflare, a popular content delivery network and security service that helps to secure and optimize websites. It explains the error code 1014, which occurs when a CNAME record is used across different accounts on Cloudflare, violating their security policy. The page provides information on why the error happens and what steps users can take to resolve it.

Seona AI is a free SEO tool that helps businesses optimize their websites for search engines. It uses AI to analyze a website's content and structure, and then provides recommendations on how to improve its SEO. Seona AI is easy to use and can be used by businesses of all sizes.

Safurai is an AI-powered coding assistant that helps developers write code faster, safer, and better. It offers a range of features, including a textbox for asking questions and getting code suggestions, shortcuts for code optimization and unit testing, the ability to train the assistant on specific projects, and a natural language search for finding code. Safurai is compatible with various IDEs, including Visual Studio Code, IntelliJ, and PyCharm.

Metapix is a leading company in AI-powered image editing solutions, helping businesses enhance visuals efficiently and maintain quality with innovative technology. Metapix offers a suite of AI-powered tools for the beauty industry, including virtual makeup try-on, virtual nail try-on, virtual try-on glasses, hair color and style try-on, and men's beard dye try-on. These tools allow businesses to provide their customers with a more engaging and personalized shopping experience.

Meow Apps is a collection of powerful WordPress plugins designed to supercharge websites with AI capabilities, optimization features, and more. Created by Jordy Meow, a software engineer and photographer based in Tokyo, the plugins aim to enhance productivity and user experience on WordPress platforms. With a focus on optimization, imagery, and AI integration, Meow Apps offers a range of tools to elevate content, automate social posts, clean databases, manage media files, and add AI features like chatbots and content generation. The plugins are known for their friendly user interface, extensive features, and support for databases of all sizes. Meow Apps strives for perfection by providing high-quality tools that can transform the WordPress experience for users.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

LLM4DB is a repository focused on the intersection of Large Language Models (LLM) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLM. The repository includes works on data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, configuration tuning, query optimization, and anomaly diagnosis using LLMs. It aims to provide insights and advancements in leveraging LLMs for improving data processing, analysis, and database management tasks.

This repository provides a comprehensive list of academic papers, articles, tutorials, slides, and projects related to Large Language Model (LLM) systems. It covers various aspects of LLM research, including pre-training, serving, system efficiency optimization, multi-model systems, image generation systems, LLM applications in systems, ML systems, survey papers, LLM benchmarks and leaderboards, and other relevant resources. The repository is regularly updated to include the latest developments in this rapidly evolving field, making it a valuable resource for researchers, practitioners, and anyone interested in staying abreast of the advancements in LLM technology.

Resonance is a framework designed to facilitate interoperability and messaging between services in your infrastructure and beyond. It provides AI capabilities and takes full advantage of asynchronous PHP, built on top of Swoole. With Resonance, you can: * Chat with Open-Source LLMs: Create prompt controllers to directly answer user's prompts. LLM takes care of determining user's intention, so you can focus on taking appropriate action. * Asynchronous Where it Matters: Respond asynchronously to incoming RPC or WebSocket messages (or both combined) with little overhead. You can set up all the asynchronous features using attributes. No elaborate configuration is needed. * Simple Things Remain Simple: Writing HTTP controllers is similar to how it's done in the synchronous code. Controllers have new exciting features that take advantage of the asynchronous environment. * Consistency is Key: You can keep the same approach to writing software no matter the size of your project. There are no growing central configuration files or service dependencies registries. Every relation between code modules is local to those modules. * Promises in PHP: Resonance provides a partial implementation of Promise/A+ spec to handle various asynchronous tasks. * GraphQL Out of the Box: You can build elaborate GraphQL schemas by using just the PHP attributes. Resonance takes care of reusing SQL queries and optimizing the resources' usage. All fields can be resolved asynchronously.

optillm is an OpenAI API compatible optimizing inference proxy implementing state-of-the-art techniques to enhance accuracy and performance of LLMs, focusing on reasoning over coding, logical, and mathematical queries. By leveraging additional compute at inference time, it surpasses frontier models across diverse tasks.

llm-export is a tool for exporting llm models to onnx and mnn formats. It has features such as passing onnxruntime correctness tests, optimizing the original code to support dynamic shapes, reducing constant parts, optimizing onnx models using OnnxSlim for performance improvement, and exporting lora weights to onnx and mnn formats. Users can clone the project locally, clone the desired LLM project locally, and use LLMExporter to export the model. The tool supports various export options like exporting the entire model as one onnx model, exporting model segments as multiple models, exporting model vocabulary to a text file, exporting specific model layers like Embedding and lm_head, testing the model with queries, validating onnx model consistency with onnxruntime, converting onnx models to mnn models, and more. Users can specify export paths, skip optimization steps, and merge lora weights before exporting.

TurboSeek is an open source AI search engine powered by Together.ai. It utilizes Next.js with Tailwind for the app router, Together AI for LLM inference, Mixtral 8x7B & Llama-3 for the LLMs, Bing for the search API, Helicone for observability, and Plausible for website analytics. The tool takes a user's question, queries the Bing search API for top results, scrapes text from the links, sends the question and context to Mixtral-8x7B, and generates follow-up questions using Llama-3-8B. Future tasks include optimizing source parsing, ignoring video links, adding regeneration option, ensuring proper citations, enabling sharing, implementing scrolling during answers, fixing hard refresh, adding caching with upstash redis, incorporating advanced RAG techniques, and adding authentication with Clerk and postgres/prisma.

PremSQL is an open-source library designed to help developers create secure, fully local Text-to-SQL solutions using small language models. It provides essential tools for building and deploying end-to-end Text-to-SQL pipelines with customizable components, ideal for secure, autonomous AI-powered data analysis. The library offers features like Local-First approach, Customizable Datasets, Robust Executors and Evaluators, Advanced Generators, Error Handling and Self-Correction, Fine-Tuning Support, and End-to-End Pipelines. Users can fine-tune models, generate SQL queries from natural language inputs, handle errors, and evaluate model performance against predefined metrics. PremSQL is extendible for customization and private data usage.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph. Primary features: * Adopting the Property Graph Model * Nodes (vertices) and Relationships (edges) that may have attributes * Nodes can have multiple labels * Relationships have a relationship type * Graphs represented as sparse adjacency matrices * OpenCypher with proprietary extensions as a query language * Queries are translated into linear algebra expressions

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

The LLM Engineer Toolkit is a curated repository containing over 120 LLM libraries categorized for various tasks such as training, application development, inference, serving, data extraction, data generation, agents, evaluation, monitoring, prompts, structured outputs, safety, security, embedding models, and other miscellaneous tools. It includes libraries for fine-tuning LLMs, building applications powered by LLMs, serving LLM models, extracting data, generating synthetic data, creating AI agents, evaluating LLM applications, monitoring LLM performance, optimizing prompts, handling structured outputs, ensuring safety and security, embedding models, and more. The toolkit covers a wide range of tools and frameworks to streamline the development, deployment, and optimization of large language models.

AvaTaR is a novel and automatic framework that optimizes an LLM agent to effectively use provided tools and improve performance on a given task/domain. It designs a comparator module to provide insightful prompts to the LLM agent via reasoning between positive and negative examples from training data.

ChatLaw is an open-source legal large language model tailored for Chinese legal scenarios. It aims to combine LLM and knowledge bases to provide solutions for legal scenarios. The models include ChatLaw-13B and ChatLaw-33B, trained on various legal texts to construct dialogue data. The project focuses on improving logical reasoning abilities and plans to train models with parameters exceeding 30B for better performance. The dataset consists of forum posts, news, legal texts, judicial interpretations, legal consultations, exam questions, and court judgments, cleaned and enhanced to create dialogue data. The tool is designed to assist in legal tasks requiring complex logical reasoning, with a focus on accuracy and reliability.

LMQL is a programming language designed for large language models (LLMs) that offers a unique way of integrating traditional programming with LLM interaction. It allows users to write programs that combine algorithmic logic with LLM calls, enabling model reasoning capabilities within the context of the program. LMQL provides features such as Python syntax integration, rich control-flow options, advanced decoding techniques, powerful constraints via logit masking, runtime optimization, sync and async API support, multi-model compatibility, and extensive applications like JSON decoding and interactive chat interfaces. The tool also offers library integration, flexible tooling, and output streaming options for easy model output handling.

Moonshot is a simple and modular tool developed by the AI Verify Foundation to evaluate Language Model Models (LLMs) and LLM applications. It brings Benchmarking and Red-Teaming together to assist AI developers, compliance teams, and AI system owners in assessing LLM performance. Moonshot can be accessed through various interfaces including User-friendly Web UI, Interactive Command Line Interface, and seamless integration into MLOps workflows via Library APIs or Web APIs. It offers features like benchmarking LLMs from popular model providers, running relevant tests, creating custom cookbooks and recipes, and automating Red Teaming to identify vulnerabilities in AI systems.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

Expert guide for small business tax queries, optimizing refunds.

I optimize cannabis delivery routes and answer cannabis queries, offering downloadable advice.

Assists in optimizing SQL code with best practices and efficiency tips.

I guide on optimizing Korean sentences for embeddings.

Marketing analyst optimizing targeted strategies

A specialized AI for optimizing traffic control, predicting bottlenecks, and improving road safety.

I'm your Koi feeding assistant, optimizing their growth from April to November.

I assist in optimizing your startup's investor pitch deck.

Advises organizations on optimizing hybrid work models, blending remote and in-office strategies.

Friendly GPT for optimizing delivery routes, asks for clarifications.

Expert AI companion for optimizing engagement, analyzing metrics, and mastering content strategy.

Advisor on creating and optimizing GPT models.

Consultant for optimizing Shopify product pages

Your assistant for optimizing profit and saving time for the used Lego Bricklink seller.

Improves operational efficiency by optimizing processes and reducing waste.

Guides on optimizing websites for international audiences

AI-driven solutions for optimizing business processes and marketing.

Expert in optimizing and suggesting high-click-rate article titles.

Expert in optimizing landing pages, including SEO and UX.

Aid in managing and optimizing OEM production orders in the auto industry.