Training neural networks with larger batches in PyTorch: gradient accumulation, gradient checkpointing, multi-GPUs and distributed setups…
Productionizing and scaling Python ML workloads simply | Ray
Scale your compute-intensive Python workloads. From reinforcement learning to large-scale model serving, Ray makes the power of distributed compute easy and accessible to every engineer.
Source: Productionizing and scaling Python ML workloads simply | Ray
Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS
In this example, we’ll imagine that our chatbot needs to answer questions about the content of a website. To do that, we’ll need a way to store and access that information when the chatbot generates its response.
Source: Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS