Based on our record, Hugging Face seems to be a lot more popular than Build LLMs Apps Easily. While we know about 296 links to Hugging Face, we've tracked only 12 mentions of Build LLMs Apps Easily. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Flowise is the drag-and-drop visual builder if you hate wiring JSON manually. - Source: dev.to / 15 days ago
Flowise – Open-source visual AI process orchestration tool. - Source: dev.to / 3 months ago
Within the building process, in this case, our platform serves as the bridge between Flowise and Qdrant. It provides a unified platform seamlessly integrating both tools by handling all the underlying infrastructure and configuration. Qubinets automates the setup process, from instantiating a cloud environment to syncing Flowise and Qdrant to work together without any manual intervention. - Source: dev.to / 7 months ago
Bit of a controversial opinion (since we are on a programmer's forum) but if you just want to soley focus on the "AI" part and not get bogged down by the code, use a no-code tool like flowise (https://flowiseai.com/). You will create 100x more successful "showcase-able" AI experiments in the same time it'll take to spin up one from scratch - and guaranteed to have a lot more fun doing so! Some inspiration here:... - Source: Hacker News / 11 months ago
Flowise is an open-source, low-code tool for building customized LLM orchestration flows and AI agents. Through an interactive UI, you can bring together the best AI-based technologies to create novel processing pipelines and create context-aware chatbots with just a few clicks. - Source: dev.to / about 1 year ago
Compatibility with standard tools: Functions with OCI-compliant registries such as Docker Hub and integrates with widely-used tools including Hugging Face, ZenML, and Git. - Source: dev.to / 4 days ago
Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / 27 days ago
Hugging Face provides licensing for their NLP models, encouraging businesses to deploy AI-powered solutions seamlessly. Learn more here. Actionable Advice: Evaluate your algorithms and determine if they can be productized for licensing. Ensure contracts are clear about usage rights and application fields. - Source: dev.to / about 1 month ago
There are lots of open-source models available on HuggingFace that can be used to create vector embeddings. Transformers.js is a module that lets you use machine learning models in JavaScript, both in the browser and Node.js. It uses the ONNX runtime to achieve this; it works with models that have published ONNX weights, of which there are plenty. Some of those models we can use to create vector embeddings. - Source: dev.to / about 2 months ago
From transformers import pipeline Import torch Pipe = pipeline( "image-text-to-text", model="google/gemma-3-4b-it", device="cpu", torch_dtype=torch.bfloat16 ) Messages = [ { "role": "system", "content": [{"type": "text", "text": "You are a helpful assistant."}] }, { "role": "user", "content": [ {"type":... - Source: dev.to / about 2 months ago
Eachlabs.ai - Each builds a drag-and-drop workflow engine tool designed to combine and run AI models that integrate easily into your application.
LangChain - Framework for building applications with LLMs through composability
BuildShip - Low-code Visual Backend builder, powered by AI
Replika - Your Ai friend
Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps
Civitai - Civitai is the only Model-sharing hub for the AI art generation community.