Best AI tools for< Streaming Engineer >

Videograph is an AI-powered video streaming platform that offers a range of services including video encoding, live streaming, monetization, content distribution analytics, and advanced video analytics. It provides innovative solutions such as an AI cropping tool for converting landscape videos to portrait mode, digital asset management for organizing content efficiently, and dynamic ad insertion for seamless monetization. With features like fast transcoding, low-latency streaming, and real-time analytics, Videograph aims to revolutionize the video streaming experience. The platform also offers user-friendly APIs for easy integration and robust infrastructure for scalable video delivery.

LMNT is an ultrafast lifelike AI speech pricing API that offers low latency streaming for conversational apps, agents, and games. It provides lifelike voices through studio-quality voice clones and offers reliable performance under pressure. Users can create engaging product marketing videos, build lightning-fast conversational experiences, and simplify content creation with high-quality audio. The platform features a user-friendly interface, versatile voice cloning options, and downloadable content for easy integration into projects. Developers can leverage Python and Node SDKs, low latency streaming, and robust documentation and support for seamless integration and deployment.

SingleStore is a real-time data platform designed for apps, analytics, and gen AI. It offers faster hybrid vector + full-text search, fast-scaling integrations, and a free tier. SingleStore can read, write, and reason on petabyte-scale data in milliseconds. It supports streaming ingestion, high concurrency, first-class vector support, record lookups, and more.

AIOZ Network is an AI-powered platform that focuses on Web3, AI, storage, and streaming services. It offers decentralized AI computation, fast and reliable storage solutions, and seamless video streaming for dApps within the network. AIOZ aims to empower a fast, secure, and decentralized future by providing a one-click integration of dApps on the AIOZ blockchain, supporting popular smart contract languages, and utilizing spare computing resources from a global community of nodes.

Allie is an AI-powered software designed for manufacturing industries, focusing on discrete and hybrid manufacturing processes. It utilizes Machine Learning to predict manufacturing downtime, improve overall equipment effectiveness (OEE), enhance quality control, and enable real-time communication with the factory floor. Allie's features include Secure Edge Gateway for seamless connectivity, RealTime Factory Streaming for analytics, Machine Learning for predicting downtime, and FactoryGPT for generative business intelligence. The application aims to accelerate time to insight, increase productivity, and provide actionable insights for production and plant managers.

Soundify is a music streaming platform that allows users to discover, listen to, and share music from a vast library of songs. With a user-friendly interface, Soundify offers personalized playlists, recommendations based on listening history, and the ability to create custom playlists. Users can explore various genres, artists, and albums, and enjoy high-quality audio streaming. Whether you're looking for the latest hits or classic tunes, Soundify provides a seamless music listening experience for music enthusiasts of all kinds.

The AI SDK is a free open-source library designed to empower users to build AI-powered products. It offers a unified provider API, generative UI capabilities, framework-agnostic support, and streaming AI responses. The SDK is trusted by builders at OpenAI, Claude, and Hugging Face, and has received positive feedback for its ease of use and efficiency in building AI features within minutes.

vLLM is a fast and easy-to-use library for LLM inference and serving. It offers state-of-the-art serving throughput, efficient management of attention key and value memory, continuous batching of incoming requests, fast model execution with CUDA/HIP graph, and various decoding algorithms. The tool is flexible with seamless integration with popular HuggingFace models, high-throughput serving, tensor parallelism support, and streaming outputs. It supports NVIDIA GPUs and AMD GPUs, Prefix caching, and Multi-lora. vLLM is designed to provide fast and efficient LLM serving for everyone.

OpenLIT is an AI application designed as an Observability tool for GenAI and LLM applications. It empowers model understanding and data visualization through an interactive Learning Interpretability Tool. With OpenTelemetry-native support, it seamlessly integrates into projects, offering features like fine-tuning performance, real-time data streaming, low latency processing, and visualizing data insights. The tool simplifies monitoring with easy installation and light/dark mode options, connecting to popular observability platforms for data export. Committed to OpenTelemetry community standards, OpenLIT provides valuable insights to enhance application performance and reliability.

DIKTATORIAL Suite is an online AI mastering tool for audio and music, offering instant music mastering with the help of virtual sound engineers. Users can upload their tracks, describe their sound preferences, and receive high-quality audio mastering within seconds. The tool is designed for audio professionals, musicians, mastering engineers, and bedroom producers, providing streaming optimization for platforms like Spotify and Apple Music. Developed by musicians, DIKTATORIAL Suite ensures safe and secure AI processing without sharing user data with third parties. With a focus on sonic possibilities and genre-specific mastering, the tool aims to deliver professional results for musicians worldwide.

AI Music Generator is an advanced tool that allows users to create high-quality music compositions across various genres. It utilizes cutting-edge algorithms and machine learning techniques to analyze music patterns and styles, enabling users to generate personalized music aligned with their creative visions. The platform offers a free version with basic features and also provides advanced functionalities for commercial usage through subscription or payment. Users can customize instruments and sounds, share their creations on social media and music streaming services, and use AI-generated music for commercial purposes while complying with the platform's terms of use.

LANDR is a comprehensive music production software designed to empower creators with a suite of tools and services. It offers a curated selection of samples and exclusive plugins that seamlessly integrate with your DAW, allowing you to manipulate and control sounds to bring your musical vision to life. LANDR's real-time collaboration features enable you to connect with other musicians, share feedback, and access a community of professionals to elevate your tracks. The AI-driven mastering engine provides a fast and reliable way to enhance your songs without the use of presets, making it a trusted tool for industry professionals. LANDR also offers distribution services, allowing you to release your music on over 150 streaming platforms and receive promotional support to maximize your reach. Additionally, LANDR provides premium music courses and tutorials to help you expand your skills and knowledge in music production, promotion, and theory.

MarsX is an AI-powered development tool that combines AI, NoCode, Code, and MicroApps to revolutionize software development. It offers a wide range of features such as AI-powered landing page builder, Micro-AppStore, NFT marketplace, Uber for X, social network creation, No-Code builder, peer-to-peer marketplace, video streaming portal, photo-sharing app, and over 1000 micro-apps for various purposes. The platform enables developers to save time and resources by leveraging AI technology and pre-built tools for different tasks.

Outspeed is a platform for Realtime Voice and Video AI applications, providing networking and inference infrastructure to build fast, real-time voice and video AI apps. It offers tools for intelligence across industries, including Voice AI, Streaming Avatars, Visual Intelligence, Meeting Copilot, and the ability to build custom multimodal AI solutions. Outspeed is designed by engineers from Google and MIT, offering robust streaming infrastructure, low-latency inference, instant deployment, and enterprise-ready compliance with regulations such as SOC2, GDPR, and HIPAA.

Modality.AI is an AI application that has developed an automated, clinically validated system to assess neurological and psychiatric states both in clinic and remotely. The platform utilizes conversational AI to monitor conditions accurately and consistently, allowing researchers and clinicians to review data in near real-time and monitor treatment response over time. Modality.AI collaborates with world-class AI/Machine Learning experts and leading institutions to provide a HIPAA-compliant system for assessing various indications such as ALS, Parkinson's, depression, autism, Huntington's Disease, schizophrenia, and mild cognitive impairment. The platform enables convenient monitoring at home through streaming and analysis of speech and facial responses, without the need for special software or apps. Modality.AI is accessible on various devices with a browser, webcam, and microphone, offering a new approach to efficient and cost-effective clinical trials.

AR Genie is an AI-powered platform that offers remote visual assistance with augmented reality, revolutionizing operations and support by seamlessly integrating AR with the power of AI. The platform empowers companies to enhance their operations and support through innovative solutions, such as remote assistance, operations and maintenance support, onboarding and troubleshooting, and AR manuals for work instructions. AR Genie provides features like AR annotation tools, live camera streaming, AR glasses support, web portal integration, and mobile-to-mobile sessions. The platform offers benefits such as extending expert reach, minimizing costs, and maximizing uptime, with advantages including reduced technician dispatches, increased customer satisfaction, expanded knowledge, faster problem-solving, and reduced costs. However, some disadvantages include potential technical glitches, dependency on internet connectivity, and the need for user training.

WarpSound is an AI music platform that uses cutting-edge generative AI technologies to create new forms of limitless music play and creativity. Its industry-leading music platform was developed in collaboration with Grammy-winning artists and uses a proprietary training dataset to produce original music in real time. It powers interactive music experiences and content for streaming, gaming, and more.

Narrow AI is an AI application that autonomously writes, monitors, and optimizes prompts for any model, enabling users to ship AI features 10x faster at a fraction of the cost. It streamlines the workflow by allowing users to test new models in minutes, compare prompt performance, and deploy on the optimal model for their use case. Narrow AI helps users maximize efficiency by generating expert-level prompts, adapting prompts to new models, and optimizing prompts for quality, cost, and speed.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

HireList.io is a Next-Gen AI Recruitment tool designed for fast-growing startups. The platform offers Intelligent Recruitment Software powered by AI to streamline the hiring process, target the right talent, and connect with suitable candidates. HireList helps in building dream teams efficiently by providing a job board, AI-powered candidate filtering, and a collaborative hiring process. The tool simplifies recruitment with features like a direct application portal, efficient hiring pipeline, applicant tracking system, communication automation, and structured interviews.

Python SDK for LiveKit enables developers to easily integrate real-time video, audio, and data features into their Python applications. By connecting to a LiveKit server, users can quickly build interactive live streaming or video call applications with minimal code. The SDK includes packages for real-time participant connection and access token generation, making it simple to create rooms and manage participants. With asyncio and aiohttp support, developers can seamlessly interact with the LiveKit server API and handle real-time communication tasks effortlessly.

mediasoup-client-aiortc is a handler for the aiortc Python library, allowing Node.js applications to connect to a mediasoup server using WebRTC for real-time audio, video, and DataChannel communication. It facilitates the creation of Worker instances to manage Python subprocesses, obtain audio/video tracks, and create mediasoup-client handlers. The tool supports features like getUserMedia, handlerFactory creation, and event handling for subprocess closure and unexpected termination. It provides custom classes for media stream and track constraints, enabling diverse audio/video sources like devices, files, or URLs. The tool enhances WebRTC capabilities in Node.js applications through seamless Python subprocess communication.

aiortc is a Python library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC). It provides a simple and readable implementation for programmers to understand and tinker with WebRTC internals. The library allows for exchanging audio, video, and data channels, supports SDP generation/parsing, ICE, DTLS, SRTP, SCTP, and various audio/video codecs. It also enables creating innovative products by leveraging Python ecosystem modules, such as computer vision algorithms with OpenCV. Extensive testing ensures high code quality.

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.

MaixPy is a Python SDK that enables users to easily create AI vision projects on edge devices. It provides a user-friendly API for accessing NPU, making it suitable for AI Algorithm Engineers, STEM teachers, Makers, Engineers, Students, Enterprises, and Contestants. The tool supports Python programming, MaixVision Workstation, AI vision, video streaming, voice recognition, and peripheral usage. It also offers an online AI training platform called MaixHub. MaixPy is designed for new hardware platforms like MaixCAM, offering improved performance and features compared to older versions. The ecosystem includes hardware, software, tools, documentation, and a cloud platform.

Data Engineering Zoomcamp is a comprehensive course covering various aspects of data engineering, including data ingestion, workflow orchestration, data warehouse, analytics engineering, batch processing, and stream processing. The course provides hands-on experience with tools like Python, Rust, Terraform, Airflow, BigQuery, dbt, PySpark, Kafka, and more. Students will learn how to work with different data technologies to build scalable and efficient data pipelines for analytics and processing. The course is designed for individuals looking to enhance their data engineering skills and gain practical experience in working with big data technologies.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

Chronon is a platform that simplifies and improves ML workflows by providing a central place to define features, ensuring point-in-time correctness for backfills, simplifying orchestration for batch and streaming pipelines, offering easy endpoints for feature fetching, and guaranteeing and measuring consistency. It offers benefits over other approaches by enabling the use of a broad set of data for training, handling large aggregations and other computationally intensive transformations, and abstracting away the infrastructure complexity of data plumbing.

Venice is a derived data storage platform, providing the following characteristics: 1. High throughput asynchronous ingestion from batch and streaming sources (e.g. Hadoop and Samza). 2. Low latency online reads via remote queries or in-process caching. 3. Active-active replication between regions with CRDT-based conflict resolution. 4. Multi-cluster support within each region with operator-driven cluster assignment. 5. Multi-tenancy, horizontal scalability and elasticity within each cluster. The above makes Venice particularly suitable as the stateful component backing a Feature Store, such as Feathr. AI applications feed the output of their ML training jobs into Venice and then query the data for use during online inference workloads.

A massive list including a huge amount of products and services that are completely free! ⭐ Star on GitHub • 🤝 Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL

LitServe is a high-throughput serving engine for deploying AI models at scale. It generates an API endpoint for a model, handles batching, streaming, autoscaling across CPU/GPUs, and more. Built for enterprise scale, it supports every framework like PyTorch, JAX, Tensorflow, and more. LitServe is designed to let users focus on model performance, not the serving boilerplate. It is like PyTorch Lightning for model serving but with broader framework support and scalability.

This repository contains Python scripts that enable two-way voice conversations with Anthropic Claude, utilizing ElevenLabs for text-to-speech, Faster-Whisper for speech-to-text, and Pygame for audio playback. The tool operates by transcribing human audio using Faster-Whisper, sending the transcription to Anthropic Claude for response generation, and converting the LLM's response into audio using ElevenLabs. The audio is then played back through Pygame, allowing for a seamless and interactive conversation between the user and the AI. The repository includes variations of the main script to support different operating systems and configurations, such as using CPU transcription on Linux or employing the AssemblyAI API instead of Faster-Whisper.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

The Spring AI project provides a Spring-friendly API and abstractions for developing AI applications. It offers a portable client API for interacting with generative AI models, enabling developers to easily swap out implementations and access various models like OpenAI, Azure OpenAI, and HuggingFace. Spring AI also supports prompt engineering, providing classes and interfaces for creating and parsing prompts, as well as incorporating proprietary data into generative AI without retraining the model. This is achieved through Retrieval Augmented Generation (RAG), which involves extracting, transforming, and loading data into a vector database for use by AI models. Spring AI's VectorStore abstraction allows for seamless transitions between different vector database implementations.

The Cheat-Sheet Collection for DevOps, Engineers, IT professionals, and more is a curated list of cheat sheets for various tools and technologies commonly used in the software development and IT industry. It includes cheat sheets for Nginx, Docker, Ansible, Python, Go (Golang), Git, Regular Expressions (Regex), PowerShell, VIM, Jenkins, CI/CD, Kubernetes, Linux, Redis, Slack, Puppet, Google Cloud Developer, AI, Neural Networks, Machine Learning, Deep Learning & Data Science, PostgreSQL, Ajax, AWS, Infrastructure as Code (IaC), System Design, and Cyber Security.

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.

Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab. 📝 Papers | ⚡️ Playground | 🛠 Prompt Engineering | 🌍 ChatGPT Prompt | ⛳ LLMs Usage Guide > **⭐️ Shining ⭐️:** This is fresh, daily-updated resources for in-context learning and prompt engineering. As Artificial General Intelligence (AGI) is approaching, let’s take action and become a super learner so as to position ourselves at the forefront of this exciting era and strive for personal and professional greatness. The resources include: _🎉Papers🎉_: The latest papers about _In-Context Learning_ , _Prompt Engineering_ , _Agent_ , and _Foundation Models_. _🎉Playground🎉_: Large language models（LLMs）that enable prompt experimentation. _🎉Prompt Engineering🎉_: Prompt techniques for leveraging large language models. _🎉ChatGPT Prompt🎉_: Prompt examples that can be applied in our work and daily lives. _🎉LLMs Usage Guide🎉_: The method for quickly getting started with large language models by using LangChain. In the future, there will likely be two types of people on Earth (perhaps even on Mars, but that's a question for Musk): - Those who enhance their abilities through the use of AIGC; - Those whose jobs are replaced by AI automation. 💎EgoAlpha: Hello! human👤, are you ready?

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

I will help you to integrate the popular distributed event streaming platform Apache Kafka into your own cloud solutions.

Specialized advisor on Azure costs and optimizations

Streamline Your Code, Automate with Ease - Expert Guidance at Every Step!

RISEN Prompt Engineer GPT streamlines AI interactions by applying the RISEN framework, focusing on specific, structured prompts for targeted, creative responses. This method improves the precision of AI-generated answers, ensuring they meet user expectations effectively.

Enhance Chrome extension development: Get expert AI assistance in building great Chrome Extensions. Expert in JavaScript, HTML, CSS, and API integration. Streamline your coding and debugging. Helps you transition Manifest V2 to Manifest V3.

Formal, yet adaptable linear systems expert.

Guides on using Mao's principles for AI startups

I create Ultimate Hacking Keyboard (UHK) macros from descriptions.

Expert in simplifying tasks with tailored solutions

AI for analyzing California cannabis packaging compliance

I assist IT technicians in managing and closing tickets efficiently.

Expert in streaming growth and AI thumbnail prompts, with a human-like style.

Finds streaming locations and nearest theaters for movies.

A movie and TV show , Songs & Books recommendation assistant for various streaming platforms.

I help you find a Show or Sporting Event on a Streaming Platform or Channel.

Votre assistant pour trouver films et séries en streaming et téléchargement gratuit

Search for TV and Movies, and learn what services offer them for streaming/rental/purchase.

Career and marketing advisor for singers and musicians. The Musicians Career Guide is well-versed in modern marketing techniques, social media, streaming platforms, gig acquisition, band formation, band dynamics, record deals, and leveraging YouTube for career growth. https://personalcustomgpts.com

I find where to stream movies & their prices.

Expert in finding Netflix shows by genre, like suspense and sci-fi.