Based on our record, PyTorch seems to be a lot more popular than Dify.AI. While we know about 132 links to PyTorch, we've tracked only 8 mentions of Dify.AI. 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.
In the rapidly evolving landscape of artificial intelligence, the synergy between platforms and models is paramount for developing robust AI applications. Dify, an open-source LLM (Large Language Model) application development platform, offers seamless integration capabilities with CometAPI's powerful models. This article delves into the features of Dify, elucidates the integration process with CometAPI, and... - Source: dev.to / about 1 month ago
Africa’s tech ecosystem is ready to lead in AI and Web3, and Dify is the perfect tool to make that happen. As a Developer Advocate, I’m committed to empowering African developers to innovate, collaborate, and solve local challenges with these technologies. If you’re an African developer, join the Dify Africa Community, try out the platform, and let’s build the future together. What AI and Web3 solutions would you... - Source: dev.to / about 1 month ago
AgentQL now integrates seamlessly with Dify, making it easier than ever to build AI applications that access and process real-time web data. Dify provides a user-friendly, low-code platform for designing and deploying AI applications—no complex backend setup required. Now, with AgentQL’s Extract Web Data tool, your AI apps can retrieve live information from any webpage in real time. - Source: dev.to / about 2 months ago
How does this differ from https://dify.ai/ and the many others in this space? - Source: Hacker News / 5 months ago
Did you try dify? I found it was a good beginning for me. https://dify.ai/. - Source: Hacker News / 9 months ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / 10 days ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / about 1 month ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 3 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 3 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
LangChain - Framework for building applications with LLMs through composability
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Teammately.ai - Teammately is The AI AI-Engineer - the AI Agent for AI Engineers that autonomously builds AI Products, Models and Agents based on LLM, prompt, RAG and ML.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.