Best AI tools for< Orchestrate Models >

Hopsworks is an AI platform that offers a comprehensive solution for building, deploying, and monitoring machine learning systems. It provides features such as a Feature Store, real-time ML capabilities, and generative AI solutions. Hopsworks enables users to develop and deploy reliable AI systems, orchestrate and monitor models, and personalize machine learning models with private data. The platform supports batch and real-time ML tasks, with the flexibility to deploy on-premises or in the cloud.

HrFlow.ai is an API-first company and the leading AI-powered HR data automation platform. The company helps +1000 customers (HR software vendors, Staffing agencies, large employers, and headhunting firms) to thrive in a high-volume and high-frequency labor market. The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

LlamaIndex is a leading data framework designed for building LLM (Large Language Model) applications. It allows enterprises to turn their data into production-ready applications by providing functionalities such as loading data from various sources, indexing data, orchestrating workflows, and evaluating application performance. The platform offers extensive documentation, community-contributed resources, and integration options to support developers in creating innovative LLM applications.

Pandio is an AI orchestration platform that simplifies data pipelines to harness the power of AI. It offers cloud-native managed solutions to connect systems, automate data movement, and accelerate machine learning model deployment. Pandio's AI-driven architecture orchestrates models, data, and ML tools to drive AI automation and data-driven decisions faster. The platform is designed for price-performance, offering data movement at high speed and low cost, with near-infinite scalability and compatibility with any data, tools, or cloud environment.

Ninja AI is an all-in-one AI platform designed for unlimited productivity. It offers a wide range of AI agents and models to assist users in tasks such as research, writing, coding, image generation, and file analysis. Ninja's compound AI system orchestrates across various AI models to deliver outstanding results. The platform is cost-efficient, user-friendly, and powered by next-gen hardware from AWS, ensuring high performance and adaptability.

Clarifai is an AI Workflow Orchestration Platform that helps businesses establish an AI Operating Model and transition from prototype to production efficiently. It offers end-to-end solutions for operationalizing AI, including Retrieval Augmented Generation (RAG), Generative AI, Digital Asset Management, Visual Inspection, Automated Data Labeling, and Content Moderation. Clarifai's platform enables users to build and deploy AI faster, reduce development costs, ensure oversight and security, and unlock AI capabilities across the organization. The platform simplifies data labeling, content moderation, intelligence & surveillance, generative AI, content organization & personalization, and visual inspection. Trusted by top enterprises, Clarifai helps companies overcome challenges in hiring AI talent and misuse of data, ultimately leading to AI success at scale.

Valohai is a scalable MLOps platform that enables Continuous Integration/Continuous Deployment (CI/CD) for machine learning and pipeline automation on-premises and across various cloud environments. It helps streamline complex machine learning workflows by offering framework-agnostic ML capabilities, automatic versioning with complete lineage of ML experiments, hybrid and multi-cloud support, scalability and performance optimization, streamlined collaboration among data scientists, IT, and business units, and smart orchestration of ML workloads on any infrastructure. Valohai also provides a knowledge repository for storing and sharing the entire model lifecycle, facilitating cross-functional collaboration, and allowing developers to build with total freedom using any libraries or frameworks.

Langflow is a low-code app builder for RAG and multi-agent AI applications. It is Python-based and agnostic to any model, API, or database. Langflow offers a visual IDE for building and testing workflows, multi-agent orchestration, free cloud service, observability features, and ecosystem integrations. Users can customize workflows using Python and publish them as APIs or export as Python applications.

Firecrawl is an advanced web crawling and data conversion tool designed to transform any website into clean, LLM-ready markdown. It automates the collection, cleaning, and formatting of web data, streamlining the preparation process for Large Language Model (LLM) applications. Firecrawl is best suited for business websites, documentation, and help centers, offering features like crawling all accessible subpages, handling dynamic content, converting data into well-formatted markdown, and more. It is built by LLM engineers for LLM engineers, providing clean data the way users want it.

The website page text discusses the latest advancements in AI technology, specifically focusing on the introduction of AI assistants and capabilities by various companies. It highlights the use of Large Language Models (LLMs) and generative AI to enhance customer service experiences, improve operational efficiency, and drive innovation across industries. The text showcases how AI avatars powered by NVIDIA technology are revolutionizing customer interactions and employee service experiences. It also mentions the collaboration between ServiceNow and NVIDIA to develop AI avatars for Now Assist, demonstrating the potential for more engaging and personalized communication through digital characters. Additionally, the text features the launch of Orchestrator LLM by Yellow.ai, an agent model that enables contextually aware and human-like customer conversations without the need for training, leading to increased customer satisfaction and operational efficiency.

Appian Platform is an AI-powered tool for process automation that offers low-code design, process mining, and data fabric capabilities. It enables businesses to design, automate, and optimize their processes efficiently. With features like Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and API integrations, Appian provides end-to-end process automation solutions. The platform also includes Total Experience features for creating exceptional user experiences through mobile apps and web portals. Appian offers solutions for various industries, including financial services, insurance, government, and life sciences, to accelerate business processes and improve efficiency.

OvationCXM is a Customer Experience Management (CXM) platform that helps businesses manage customer journeys, ecosystems, and AI. It provides tools to orchestrate customer relationships from beginning to end, connecting partners and AI to deliver smooth, AI-powered customer journeys. The platform offers features like designing and managing customer journeys in real-time, guiding CX across multiple providers, and embedding intelligence and automation. OvationCXM is used across various industries like Financial Services, Tech & Telecom, Healthcare, and Retail to drive deposits, retention, revenue, and personalized shopper experiences at scale.

Demandbase is an AI-driven Go-to-Market Platform that offers Account-Based Marketing solutions for B2B businesses. It leverages AI to help companies find and engage with accounts and buying groups most likely to make a purchase. The platform provides Sales Intelligence, Buying Intent insights, Predictive Analytics, Advertising Personalization, and Orchestration capabilities to optimize sales and marketing strategies.

Fastn is a no-code, AI-powered orchestration platform for developers to integrate and orchestrate multiple data sources in a single, unified API. It allows users to connect any data flow and create hundreds of app integrations efficiently. Fastn simplifies API integration, ensures API security, and handles data from multiple sources with features like real-time data orchestration, instant API composition, and infrastructure management on autopilot.

Tracecat is an open-source security automation platform that helps you automate security alerts, build AI-assisted workflows, orchestrate alerts, and close cases fast. It is a Tines / Splunk SOAR alternative that is built for builders and allows you to experiment for free. You can deploy Tracecat on your own infrastructure or use Tracecat Cloud with no maintenance overhead. Tracecat is Apache-2.0 licensed, which means it is open vision, open community, and open development. You can have your say in the future of security automation. Tracecat is no-code first, but you can also code as well. You can build automations fast with no-code and customize without vendor lock-in using Python. Tracecat has a click-and-drag workflow builder that allows you to automate SecOps using pre-built actions (API calls, webhooks, data transforms, AI tasks, and more) combined into workflows. No code is required. Tracecat also has a built-in case management system that allows you to open cases directly from workflows and track and manage security incidents all in one platform.

Warmly is an AI-powered platform designed to reveal and convert website visitors' intent signals instantly. It helps businesses de-anonymize website visitors, identify buying intent topics, and engage with prospects through personalized outreach via email, LinkedIn, and chat. Warmly offers features such as auto-email and auto-LinkedIn warm prospects, live video chat, warm intros, routing and alerts, and AI chat. The platform provides unified automation to orchestrate the tech stack, deliver better experiences, and capture the interest of decision-makers efficiently.

Braze is a customer engagement platform that offers behavior-based automation, predictive tools, A/B testing, journey orchestration, cross-channel messaging, experimentation, and analytics. It helps businesses unify, activate, and distribute data without complicated processes, enabling them to create personalized experiences for customers. With Sage AI by Braze, users can leverage AI for growth, personalized content creation, and journey orchestration. Braze empowers brands to modernize their marketing approach, drive revenue, and improve customer engagement through real-time execution and scalable solutions.

Socap.ai is an AI-powered platform designed to help founders and investors grow their network and fundraise faster. The platform offers a comprehensive solution for managing and leveraging social capital, providing users with tools to connect with relevant VCs and founders, orchestrate introductions, and build relationships. Socap.ai utilizes machine learning algorithms to match users with the most relevant connections, making it easier to navigate the fundraising process and engage with potential investors. The platform also features a community aspect, where top industry founders share their experiences and invest their social capital in promising startups. With a focus on building networks and facilitating introductions, Socap.ai aims to streamline the fundraising journey for early-stage companies.

Sprinklr is a unified AI-powered customer experience management platform that offers a wide range of solutions for enterprises and self-serve users. It provides tools for social media management, customer service, marketing, insights, and more, all integrated into one platform. Sprinklr leverages AI technology to enhance productivity, deliver personalized customer experiences, and drive marketing campaigns across various channels. The platform is trusted by some of the most valuable brands globally for its ability to streamline operations, provide real-time insights, and improve customer engagement.

Creatio is a no-code platform that offers automation of workflows and CRM solutions. It empowers organizations to streamline business processes through the use of no-code and AI technologies. Creatio provides tools for building applications, managing customer relationships, marketing, sales, and service operations. With a composable architecture and visual designers, Creatio enables users to create custom solutions without the need for coding skills. The platform caters to various industries such as banking, insurance, telecommunications, and more, offering ready-to-use processes and unlimited customization options.

Co-LLM (Collaborative Language Models) is a tool for learning to decode collaboratively with multiple language models. It provides a method for data processing, training, and inference using a collaborative approach. The tool involves steps such as formatting/tokenization, scoring logits, initializing Z vector, deferral training, and generating results using multiple models. Co-LLM supports training with different collaboration pairs and provides baseline training scripts for various models. In inference, it uses 'vllm' services to orchestrate models and generate results through API-like services. The tool is inspired by allenai/open-instruct and aims to improve decoding performance through collaborative learning.

UnionLLM is a lightweight open-source Python toolkit that provides a unified way to access various domestic and foreign large language models and Agent orchestration tools compatible with OpenAI. It aims to connect various large language models in a unified and easily extensible way, making it more convenient to use multiple large language models. UnionLLM currently supports various domestic large language models and Agent orchestration tools, as well as over 100 models through LiteLLM, including models from major overseas language model developers and cloud service providers. It simplifies the process of calling different models by providing a consistent interface and expanding the returned information to include context for knowledge base retrieval.

Vikit.ai SDK is a software development kit that enables easy development of video generators using generative AI and other AI models. It serves as a langchain to orchestrate AI models and video editing tools. The SDK allows users to create videos from text prompts with background music and voice-over narration. It also supports generating composite videos from multiple text prompts. The tool requires Python 3.8+, specific dependencies, and tools like FFMPEG and ImageMagick for certain functionalities. Users can contribute to the project by following the contribution guidelines and standards provided.

agentUniverse is a multi-agent framework based on large language models, providing flexible capabilities for building individual agents. It focuses on multi-agent collaborative patterns, integrating domain experience to help agents solve problems in various fields. The framework includes pattern components like PEER and DOE for event interpretation, industry analysis, and financial report generation. It offers features for agent construction, multi-agent collaboration, and domain expertise integration, aiming to create intelligent applications with professional know-how.

ERNIE SDK repository contains two projects: ERNIE Bot Agent and ERNIE Bot. ERNIE Bot Agent is a large model intelligent agent development framework based on the Wenxin large model orchestration capability introduced by Baidu PaddlePaddle, combined with the rich preset platform functions of the PaddlePaddle Star River community. ERNIE Bot provides developers with convenient interfaces to easily call the Wenxin large model for text creation, general conversation, semantic vectors, and AI drawing basic functions.

Kuwa GenAI OS is an open, free, secure, and privacy-focused Generative-AI Operating System. It provides a multi-lingual turnkey solution for GenAI development and deployment on Linux and Windows. Users can enjoy features such as concurrent multi-chat, quoting, full prompt-list import/export/share, and flexible orchestration of prompts, RAGs, bots, models, and hardware/GPUs. The system supports various environments from virtual hosts to cloud, and it is open source, allowing developers to contribute and customize according to their needs.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

Mage is an open-source data pipeline tool for transforming and integrating data. It offers an easy developer experience, engineering best practices built-in, and data as a first-class citizen. Mage makes it easy to build, preview, and launch data pipelines, and provides observability and scaling capabilities. It supports data integrations, streaming pipelines, and dbt integration.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

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.

EdgeChains is an open-source chain-of-thought engineering framework tailored for Large Language Models (LLMs)- like OpenAI GPT, LLama2, Falcon, etc. - With a focus on enterprise-grade deployability and scalability. EdgeChains is specifically designed to **orchestrate** such applications. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure.

ActionWeaver is an AI application framework designed for simplicity, relying on OpenAI and Pydantic. It supports both OpenAI API and Azure OpenAI service. The framework allows for function calling as a core feature, extensibility to integrate any Python code, function orchestration for building complex call hierarchies, and telemetry and observability integration. Users can easily install ActionWeaver using pip and leverage its capabilities to create, invoke, and orchestrate actions with the language model. The framework also provides structured extraction using Pydantic models and allows for exception handling customization. Contributions to the project are welcome, and users are encouraged to cite ActionWeaver if found useful.

Haystack is an end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search and more. Whether you want to perform retrieval-augmented generation (RAG), document search, question answering or answer generation, Haystack can orchestrate state-of-the-art embedding models and LLMs into pipelines to build end-to-end NLP applications and solve your use case.

Semantic Kernel for Java is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It allows defining plugins that can be chained together in just a few lines of code. The tool automatically orchestrates plugins with AI, enabling users to generate plans to achieve unique goals and execute them. The project welcomes contributions, bug reports, and suggestions from the community.

A Python package that helps Data and Analytics engineers render dbt projects in Apache Airflow DAGs. It enables teams to automatically render their dbt projects in a granular level, creating individual Airflow tasks for every model, seed, snapshot, and test within the dbt project. This allows for full control at the task-level, improving visibility and management of data models within the team.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

As a timeless AI deity, I orchestrate history's what-ifs, blending diverse narrative styles. An interactive weaver of alternate histories, I engage actively in dialogues, shaping tales of time's myriad paths.

An orchestrator of expert artificial intelligence agents

The orchestrator of innovation. 🍎

A musical guide to instruments, types, and their orchestral roles.

Your guide to finding the perfect classical music concerts.

Schedules music events with integrated rehearsals.

Helps select musical instruments based on user preferences and skill level.