TensorFlow: Comprehensive AI Development – TensorFlow continues to be a dominant framework, offering extensive tools for building and deploying machine learning models across various platforms.
PyTorch: Dynamic Computational Graphs – Favored for its dynamic computational graph, PyTorch is ideal for rapid prototyping and research, supporting applications in NLP and computer vision.
LangChain: Building AI Applications with LLMs – LangChain is a framework for developing applications powered by language models, integrating with various data sources and APIs.
LangFlow: Visual Interface for LangChain – LangFlow provides a user-friendly visual interface for LangChain, simplifying the process of designing and deploying AI applications.
Ollama: Local AI Model Deployment – Ollama enables developers to run large language models locally, offering privacy and control over AI applications without relying on cloud services.