Learn how to set up a Windows dev environment for AI development using WinGet. Follow step-by-step guides to fine-tune local language models (LLMs) with WSL, Python, and training tools like OLive. Build .NET apps that use customized LLMs with your data, leveraging ONNX and techniques like retrieval-augmented generation (RAG). Master end-to-end AI workflows on Windows.
PyTorch
Explore the comprehensive process of building a sentiment analysis model using PyTorch and BERT. From defining project objectives to model deployment, learn how to harness the power of deep learning for accurate sentiment classification.
Explore the comprehensive guide on creating Large Language Model (LLM) projects. From defining objectives and choosing frameworks to ethical considerations and deployment, this article provides step-by-step insights for building impactful language models.