Best AI tools for< Schedule Learning Time >

Developer Roadmaps (roadmap.sh) is a community-driven platform offering official roadmaps, guides, projects, best practices, questions, and videos to assist developers in skill development and career growth. It provides role-based and skill-based roadmaps covering various technologies and domains. The platform is actively maintained and continuously updated to enhance the learning experience for developers worldwide.

灵办AI is a free AI assistant for learning and office tasks. It provides users with various AI-powered features to enhance productivity and efficiency in both educational and professional settings. The tool offers a user-friendly interface and supports multiple languages, making it accessible to a diverse user base. With its advanced algorithms, 灵办AI aims to simplify complex tasks and streamline workflows, ultimately saving users time and effort.

Fraud.net is an AI-powered fraud detection and prevention platform designed for enterprises. It offers a comprehensive and customizable solution to manage and prevent various types of fraud, such as account takeover, application fraud, and payment fraud. The platform utilizes AI and machine learning technologies to provide real-time monitoring, analytics, and reporting, helping businesses reduce fraud losses and improve customer trust. Fraud.net is trusted by various industries, including financial services, e-commerce, gaming, government, and insurance, to combat fraud schemes and ensure secure transactions.

HireHarmonyAI is an AI-powered tool that helps recruiters save time in their LinkedIn recruitment process. It automates tasks such as candidate sourcing, screening, and scheduling, so that recruiters can focus on building relationships with top talent.

Inboxly is an AI-powered email management tool that helps you save time and be more productive. It uses natural language processing to automatically sort, filter, and respond to your emails, so you can focus on the most important ones. Inboxly also offers a variety of other features, such as scheduling, reminders, and templates, to help you stay organized and on top of your email.

Ellie is an AI-powered email assistant that helps you write professional, bespoke emails in your own style. It learns from your writing style and creates replies to emails as if they were written by you. Ellie can be integrated directly into your inbox as a browser extension, making it easy to use and accessible from anywhere. With Ellie, you can save hours every day in your inbox and focus on more important tasks.

Converso is an AI-powered customer support platform that enables businesses to connect their own AI Assistant with a shared team inbox, thereby automating first-line customer support and reducing workload for front-line agents. AI Assistants can be connected to different channels, such as webchat, WhatsApp, SMS, and conversations can be transferred to a human agent in the event that the query is too complex for the AI Assistant to manage. Converso also enables outbound conversations via WhatsApp and SMS, managed via the same inbox, for proactive customer engagement.

Ellie is an AI-powered email assistant that helps users save time by automating email replies. It learns from your writing style and creates replies to emails as if they were written by you. Ellie can be integrated directly into your inbox as a browser extension, making it easy to use. It supports multiple languages and can be assigned different roles for different emails. Ellie is a valuable tool for anyone who wants to save time and effort on email communication.

Clockwise is an AI-powered calendar assistant that helps you schedule meetings, tasks, and deep work in a way that works best for you and your team. It uses machine learning to analyze your calendar preferences and the availability of your colleagues to find the best times for meetings, and it can even automatically reschedule meetings if necessary. Clockwise also integrates with other productivity tools like Slack and Asana, so you can manage your schedule from one place.

Sensey.ai is a personal AI assistant designed to help startups with a variety of tasks, from scheduling meetings to managing finances. It uses natural language processing and machine learning to understand your needs and provide personalized recommendations.

Synthflow is an AI phone calling platform that offers AI receptionist and answering services. It allows users to build a no-code AI phone system with AI voice agents, automate routine calls, provide 24/7 customer support, and track performance insights. The platform integrates with various CRMs, offers real-time booking, multi-human transfer, post-call actions, and custom actions. Users can manage contacts, track conversation history, and connect with systems like HubSpot, GoHighLevel, and Zoho. Synthflow is known for its white-label solution, transparent billing, and easy integrations.

Boomerang for Gmail is a meeting scheduling and email management tool that helps you save time and be more productive. With Boomerang, you can schedule emails to be sent later, set reminders to follow up on messages, and pause your inbox to avoid distractions. Boomerang also includes a number of AI-powered features, such as Respondable, which helps you write better emails, and Inbox Pause, which helps you manage your email flow more effectively.

CoSchedule is an all-in-one marketing calendar that helps businesses organize their marketing efforts. It offers a variety of features, including a social calendar, content calendar, marketing suite, and AI-powered tools. CoSchedule is designed to help businesses save time and improve their marketing results.

Oliv is a sales rep AI copilot that helps sales managers and their teams save time and close more deals. It automates tasks such as pre-meeting research, live note-taking, and CRM updates, so that sales reps can focus on building relationships and winning deals. Oliv also provides real-time guidance on key questions to ask during meetings, and helps sales reps identify and close gaps in the deal.

ContentIn is an AI-powered LinkedIn content creation tool that helps users write better LinkedIn content, 10x faster. It offers a full LinkedIn content suite, including a personal AI Ghostwriter, post scheduler, and post analytics. With ContentIn, users can generate and nurture more leads, increase engagement on their posts, increase their visibility and grow their network, maintain a consistent and impactful LinkedIn presence, and rise above the competition by consistently providing value.

BeforeSunset AI is an AI-powered workspace for busy professionals and teams. It is an AI Personal Assistant that plans your day based on your schedule and to-do list by time-blocking on your calendar. It helps you stay in sync, stay focused, and achieve your goals.

Soundbite is a communication tool that combines video and audio messaging with sophisticated targeting and reports to reduce organizational noise. It allows users to create TikTok-style video and audio podcast content, engage with audiences authentically, and collect real-time engagement data. Soundbite is designed to accelerate and connect communication within Microsoft Teams, fostering meaningful dialogue and boosting employee engagement.

Landbot is an AI-powered chatbot generator that helps businesses create conversational experiences for lead generation, customer engagement, and customer support. With Landbot, businesses can build chatbots for websites, WhatsApp, and Facebook Messenger without any coding required. Landbot's chatbots are designed to be engaging and human-like, and they can be used to automate tasks such as lead qualification, appointment scheduling, and customer support. Landbot also offers a variety of integrations with other business tools, such as CRM systems and marketing automation platforms.

ContentQuiver is an AI-powered tool that automates the process of repurposing newsletter content into engaging social media posts. It helps creators save time and expand their reach by transforming their email newsletters into content tailored to each platform's audience and format requirements. ContentQuiver seamlessly integrates with popular newsletter platforms like Substack and Beehiiv, making the repurposing process effortless. Its advanced AI learns the user's writing style, ensuring that all repurposed content maintains a consistent voice across all platforms. ContentQuiver also offers automated social posting, allowing users to broaden their reach without the manual hassle.

ContentStudio is a comprehensive social media management platform that streamlines content creation, scheduling, analytics, engagement, and discovery. It empowers businesses, agencies, and marketers to manage multiple social channels effectively, saving time and maximizing results. With its AI-powered features, ContentStudio helps users overcome writer's block, generate engaging captions, and create visually appealing images for their social media posts. The platform also offers advanced analytics to track campaign performance, measure ROI, and make data-driven decisions. ContentStudio's user-friendly interface and collaborative features make it an ideal tool for teams to work together seamlessly and achieve their social media goals.

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.

MaxText is a high performance, highly scalable, open-source Large Language Model (LLM) written in pure Python/Jax targeting Google Cloud TPUs and GPUs for training and inference. It aims to be a launching off point for ambitious LLM projects in research and production, supporting TPUs and GPUs, models like Llama2, Mistral, and Gemma. MaxText provides specific instructions for getting started, runtime performance results, comparison to alternatives, and features like stack trace collection, ahead of time compilation for TPUs and GPUs, and automatic upload of logs to Vertex Tensorboard.

MaxText is a high-performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference. MaxText achieves high MFUs and scales from single host to very large clusters while staying simple and "optimization-free" thanks to the power of Jax and the XLA compiler. MaxText aims to be a launching off point for ambitious LLM projects both in research and production. We encourage users to start by experimenting with MaxText out of the box and then fork and modify MaxText to meet their needs.

RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).

Recent LLM (Large Language Models)-based CV and multi-modal works.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

AIQC is an open source Python package that provides a declarative API for end-to-end MLOps in order to make deep learning more accessible to researchers. It utilizes a SQLite object-relational model for machine learning objects and stacks standardized workflows for various analyses, data types, and libraries. The benefits include a 90% reduction in data wrangling, reproducibility, and no need to install and maintain application and database servers for experiment tracking. AIQC is pip-installable and provides a Dash-Plotly UI for real-time experiment tracking.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

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.

Pax is a framework to configure and run machine learning experiments on top of Jax.

ML-AI-2-LT is a repository that serves as a glossary for machine learning and deep learning concepts. It contains translations and explanations of various terms related to artificial intelligence, including definitions and notes. Users can contribute by filling issues for unclear concepts or by submitting pull requests with suggestions or additions. The repository aims to provide a comprehensive resource for understanding key terminology in the field of AI and machine learning.

uTensor is an extremely light-weight machine learning inference framework built on Tensorflow and optimized for Arm targets. It consists of a runtime library and an offline tool that handles most of the model translation work. The core runtime is only ~2KB. The workflow involves constructing and training a model in Tensorflow, then using uTensor to produce C++ code for inferencing. The runtime ensures system safety, guarantees RAM usage, and focuses on clear, concise, and debuggable code. The high-level API simplifies tensor handling and operator execution for embedded systems.

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.

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

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

AI学习规划师，帮助各行各业的人规划学习AI的路线，设计课程学习目标和学习时间规划。

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Effortlessly converse with your favorite apps in natural language and boost productivity (Microsoft, Google, LinkedIn,Twitter,TypeForm ...)

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Supports executives by managing schedules and facilitating communication for effective decision-making.

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A rapid-response counselor for Ohio State students' class planning.

Look at the future of your current profession and how it may be affected by Artificial Intelligence

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Learn how to use ChatGPT effectively and ethically in work and business! I also recommend prompts and techniques for using ChatGPT well in work and business.

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