Best AI tools for< team scheduler >

Sidekick Ai is a scheduling software that uses AI and language processing to make scheduling meetings easier. It offers three main ways to schedule meetings: Scheduling Pages, Forward to Schedule, and Sidekick Scheduling. Sidekick Ai also integrates with popular tools such as Microsoft Teams and Google Calendars. It is used in over 175 countries around the world.

Soon is a workforce management software that helps businesses automate scheduling, manage time off, and streamline daily activities. It offers features such as event-based scheduling, workload management, time off tracking, and integrations with other essential tools. Soon is designed to be user-friendly and easy to implement, with a focus on empowering teams and improving productivity.

Hookle is an AI-powered social media marketing tool that helps small businesses grow their online presence. It offers a variety of features to help businesses create and schedule content, track their progress, and collaborate with team members. Hookle is easy to use and affordable, making it a great option for small businesses looking to improve their social media marketing.

Zoom is an AI-powered platform that offers a wide range of communication and productivity tools to enhance team effectiveness and skills. It provides features such as team chat, phone, mail, calendar scheduler, productivity docs, whiteboard, clips, notes, app marketplace, digital signage, visitor management, and more. Zoom aims to streamline communication, increase employee engagement, and improve productivity across various industries and audiences. The platform also offers developer tools, solutions for partners, and resources like webinars, events, and customer stories.

Buildlean AI is a cloud-based construction management software that helps contractors manage their projects more efficiently. It provides a central platform for managing all aspects of a construction project, from planning and scheduling to tracking progress and managing finances. Buildlean AI uses artificial intelligence to automate many of the tasks that are typically done manually, such as scheduling and resource allocation. This can save contractors time and money, and it can also help to improve the accuracy and efficiency of their projects.

Keepme is an AI-powered platform designed for gyms to boost sales, predict and prevent attrition, and enhance member retention. It offers features such as Keepme Score™ for predicting attrition, smart lead scoring, gym tours & trials scheduler, NPS surveys, smart campaigns & automations, smart content production, and WhatsApp integration. The platform provides personalized training and world-class support through Keepme Academy and customer success team. Keepme is trusted by over 450 fitness clubs globally and offers valuable AI resources to empower users with knowledge.

AI Sidekick is a team analytics tool powered by ChatGPT, integrated within Slack to provide actionable insights from daily Q&A sessions. It acts as an all-knowing Executive Assistant, streamlining team-related queries without the need for extensive document searches or scheduling meetings. The tool aims to prevent burnout, improve team morale, identify and solve blockers faster, and enhance productivity by offering context-rich insights and assisting in various tasks such as email composition.

Freeday AI is a revolutionary tool that uses generative AI technology to automate workflows and enhance communication channels. It offers a range of features, including agent augmentation, real-time AI digital employees, data-driven insights, easy integration, and omnichannel automation. Freeday AI helps businesses save costs, improve customer satisfaction, and enhance enterprise security.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders using natural language. Dola also integrates with your existing calendar apps, so you can keep all your events in one place.

Dola is an AI-powered calendar assistant that helps you manage your schedule through messaging apps. With Dola, you can add events, edit them, and get reminders, all without having to fill out tedious forms or quote previous calendar events. Dola also supports group chats, so you can easily schedule events with friends and family. Dola is available on iOS, Android, and the web.

DOO is a platform that provides AI-powered coaches to help teams collaborate and increase productivity. With a pool of 44 skilled coaches, each with specialized skills, DOO makes it easy to find the perfect match for your team's needs. DOO's AI coaches are trained in a variety of fields, including project management, marketing, sales, and customer service. They can help with tasks such as scheduling meetings, creating presentations, writing reports, and managing social media. DOO also offers custom AI coaches that can be created to fit your specific needs and requirements.

Mixmax is a sales engagement platform designed to help revenue teams reach, close, and expand more customers through personalized sequences powered by AI. It offers features such as sequences, engagement rules, workflow reporting, insights, calendar scheduling, inbound lead routing, email composition, SMS, dialer, and various integrations with popular tools like Salesforce, Gong, Slack, LinkedIn Sales Navigator, and more. Mixmax enables users to automate repetitive tasks, gain powerful insights, collaborate across the revenue team, and easily schedule meetings with prospects. It is trusted by thousands of fast-growing companies to boost sales productivity and efficiency.

Dust is a customizable and secure AI assistant platform that helps businesses amplify their team's potential. It allows users to deploy the best Large Language Models to their company, connect Dust to their team's data, and empower their teams with assistants tailored to their specific needs. Dust is exceptionally modular and adaptable, tailoring to unique requirements and continuously evolving to meet changing needs. It supports multiple sources of data and models, including proprietary and open-source models from OpenAI, Anthropic, and Mistral. Dust also helps businesses identify their most creative and driven team members and share their experience with AI throughout the company. It promotes collaboration with shared conversations, @mentions in discussions, and Slackbot integration. Dust prioritizes security and data privacy, ensuring that data remains private and that enterprise-grade security measures are in place to manage data access policies.

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.

Hypertype is an AI-powered email assistant that helps businesses save time and improve the quality of their customer communications. It automatically drafts emails with the most relevant information retrieved from your data, in seconds. This can save you up to 70% of the time you spend drafting emails, and it can also help you to provide more personalized and effective responses to your customers. Hypertype is used by over 2,000 businesses worldwide, and it has been featured in Forbes, The Wall Street Journal, and The New York Times.

Amy is a workplace assistant that uses conversational technology to help users with a variety of tasks, including communication, HR, web management, and recruitment. Amy can be used to send messages, schedule meetings, manage attendance and leaves, update websites, post blogs and jobs, and find talent. Amy is designed to be easy to use and can be accessed through a variety of devices, including smartphones, tablets, and computers.

Alltius is a platform that allows users to build and deploy AI assistants for sales and support teams. The platform provides a variety of tools and features to help users create assistants that are accurate, secure, and easy to use. Alltius's assistants can be used to automate a variety of tasks, such as answering customer questions, generating leads, and scheduling appointments. The platform also includes a library of pre-built skills that can be used to add functionality to assistants.

Owlbot is an AI-powered chatbot that integrates and interprets data from various sources. It simplifies data analysis and presents insights in a user-friendly format, allowing you to make informed decisions. Owlbot can handle large volumes of data and supports 95 languages. It can be embedded on your website or used via API. Owlbot is designed to be user-friendly and intuitive, making complex data analysis accessible to everyone, regardless of their data expertise.

Simplified is an all-in-one marketing platform that uses artificial intelligence to help businesses create, edit, collaborate, and share content. It offers a wide range of features, including AI-powered design, writing, video, and social media tools. Simplified is designed to be easy to use and affordable, making it a great option for businesses of all sizes.

Reclaim is an AI-powered scheduling app that helps teams optimize their time and improve productivity. It offers a range of features, including smart scheduling, task management, meeting optimization, and work-life balance tools. Reclaim integrates with popular calendar and task management apps, making it easy to manage your schedule and tasks in one place.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.

AiiDA (www.aiida.net) is a workflow manager for computational science with a strong focus on provenance, performance and extensibility. **Features** * **Workflows:** Write complex, auto-documenting workflows in python, linked to arbitrary executables on local and remote computers. The event-based workflow engine supports tens of thousands of processes per hour with full checkpointing. * **Data provenance:** Automatically track inputs, outputs & metadata of all calculations in a provenance graph for full reproducibility. Perform fast queries on graphs containing millions of nodes. * **HPC interface:** Move your calculations to a different computer by changing one line of code. AiiDA is compatible with schedulers like SLURM, PBS Pro, torque, SGE or LSF out of the box. * **Plugin interface:** Extend AiiDA with plugins for new simulation codes (input generation & parsing), data types, schedulers, transport modes and more. * **Open Science:** Export subsets of your provenance graph and share them with peers or make them available online for everyone on the Materials Cloud. * **Open source:** AiiDA is released under the MIT open source license

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Airbyte is an open-source data integration platform that makes it easy to move data from any source to any destination. With Airbyte, you can build and manage data pipelines without writing any code. Airbyte provides a library of pre-built connectors that make it easy to connect to popular data sources and destinations. You can also create your own connectors using Airbyte's low-code Connector Development Kit (CDK). Airbyte is used by data engineers and analysts at companies of all sizes to move data for a variety of purposes, including data warehousing, data analysis, and machine learning.

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

LLamaTuner is a repository for the Efficient Finetuning of Quantized LLMs project, focusing on building and sharing instruction-following Chinese baichuan-7b/LLaMA/Pythia/GLM model tuning methods. The project enables training on a single Nvidia RTX-2080TI and RTX-3090 for multi-round chatbot training. It utilizes bitsandbytes for quantization and is integrated with Huggingface's PEFT and transformers libraries. The repository supports various models, training approaches, and datasets for supervised fine-tuning, LoRA, QLoRA, and more. It also provides tools for data preprocessing and offers models in the Hugging Face model hub for inference and finetuning. The project is licensed under Apache 2.0 and acknowledges contributions from various open-source contributors.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

This repository codifies the Airflow cluster that is deployed at workflow.telemetry.mozilla.org (behind SSO) and commonly referred to as "WTMO" or simply "Airflow". Some links relevant to users and developers of WTMO: * The `dags` directory in this repository contains some custom DAG definitions * Many of the DAGs registered with WTMO don't live in this repository, but are instead generated from ETL task definitions in bigquery-etl * The Data SRE team maintains a WTMO Developer Guide (behind SSO)

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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