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<aside> 👉 Created by ByteBrief: This document contains 33 development assistants, 22 tools you can use to develop AI applications, 14 no-code/low-code tools to help develop apps, 8 AI/ML communities to join, and 9 AI Twitter accounts to follow for a total of 86 excellent resources.

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Development Assistants

Develop with AI

• Get predictions, monitor predictions, and manage your models
• Expedites ML projects
• ML project on-premise or in the cloud
• Pre-configured Virtual Machines (VMs) | https://cloud.google.com/vertex-ai | | Azure AI (Microsoft) | - Python-based automated ML service
• Machine translation
• Object, speech, and text recognition capabilities
• AI templates for creating bots | https://azure.microsoft.com/en-us/solutions/ai/ | | IBM Watson | - Quick development and deployment for AI applications
• Speech-to-text capabilities
• NLP and NLU services
• Powerful mobile app APIs | https://www.ibm.com/watson | | H20 (Open source) | - Includes AutoML functionality
• Supports many algorithms like gradient boosted machines, deep learning, generalized linear models, etc.
• Linearly scalable platform
• Develop mobile apps using R, Java, and Python | https://h2o.ai/ | | TensorFlow | - Seamlessly deploy AI-based solutions on mobiles, desktop, edge devices, etc.
• Extensive set of tools, libraries, and community resources
• Deep analytics, service automation, unsupervised training, etc.
• Wide range of features and functionalities | https://www.tensorflow.org/ | | MxNet (Apache) | - Open-source deep learning framework
• Enhances AI-based applications with NLP
• Highly scalable framework
• Define, train, and deploy neural networks | https://mxnet.apache.org/versions/1.9.1/ | | Teachable Machine | Train a computer to recognize your own images, sounds, & poses. | https://teachablemachine.withgoogle.com/ | | Helicone | Observe GPT-3 Logs to track usage, costs, and latency. | https://www.helicone.ai/ | | Shaped | Recommendation/discovery engine for you applications. | https://www.shaped.ai/ | | Retrune | Better(?) frontend for GPT-3 | https://retune.so/ | | Chatbot Kit | It’s a kit… for chatbots | https://chatbotkit.com/ | | Convei | Character chat SDK for games | https://www.convai.com/ | | Riku | Learn how to build using AI | https://riku.ai/ | | GPUx | Machines ready for your AI shenanigans | https://gpux.ai/ | | Lightning AI | Train, deploy, and ship AI products Lightning fast | https://lightning.ai/ | | Pipeline AI | Serverless GPU inference for ML models. Pay-per-millisecond API to run ML in production. | https://www.pipeline.ai/ | | Liner AI | Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model. No coding or expertise in machine learning required. | https://liner.ai/ | | OpenAI’s Whisper | Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. | https://github.com/openai/whisper | | Synthetic AI Data | Synthetic data is a cost-effective way to train and improve AI models. By using the syntheticAIdata, you can easily generate large synthetic datasets, which will significantly speed up the training of vision AI models for tasks such as image classification, image segmentation and object detection. Our solution will help you bring AI-powered applications to market faster. | https://syntheticaidata.com/ | | Shumai | A fast, network-connected, differentiable tensor library for TypeScript (and JavaScript). Built with bun + flashlight for software engineers and researchers alike. | https://github.com/facebookresearch/shumai | | Runpod.io | Rent Cloud GPUs from $0.2/hour | https://www.runpod.io/ | | Dust | Design and Deploy Large Language Model Apps. | https://dust.tt/ |

No-code / Low-code

Communities