-- Living Mobile --
Friday, May 23, 2025
Simple neural network example
›
#Initializing the neural network model = Sequential() model.add(Dense(1,input_dim=x_train.shape[1])) model.summary() optimizer = keras.optim...
What are various activation functions in Deep Learning?
›
1. Linear Function (Identity Function) Formula: f(x)=x Description: The output is directly proportional to the input. It's a straight li...
Thursday, May 22, 2025
What is KIND Tool?
›
Although Kubernetes production clusters are typically in a cloud environment, with the right tool, running a Kubernetes cluster locally is ...
Tuesday, May 20, 2025
High level overview of MCP components
›
At its core, MCP follows a client-server architecture where a host application can connect to multiple servers. MCP hosts - apps like Claude...
Sunday, May 18, 2025
What is main difference between Kubernetes and Openshift
›
People move from Kubernetes to OpenShift for several reasons, including ease of use, built-in tools, and enhanced security features. OpenShi...
What is Auto regressive decoding in LLMs
›
Auto-regressive decoding is the fundamental process by which most large language models (LLMs) generate text, one token at a time, in a sequ...
What is Cost, Throughput, Latency of LLM Inference? What are factors affecting these two and how to compute these ?
›
Throughput = Query / sec => Maximise for batch job speed or to allow more users Latency = sec / token => minimise for user experience...
›
Home
View web version
