Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions What is the difference between encoder and decoder blocks in the Transformer architecture? A) Encoder blocks handle input sequence processing, while decoder blocks generate predictions token-by-token.B) Encoder blocks use self-attention only, while decoder blocks use … Continue reading What is the difference between encoder and decoder blocks in the Transformer architecture?
Artificial Intelligence
What is the difference between self-attention and multi-head attention in the Transformer architecture?
Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions What is the difference between self-attention and multi-head attention in the Transformer architecture? A) Self-attention focuses on global dependencies, while multi-head attention combines local features.B) Self-attention processes individual tokens, while multi-head attention applies parallel attention … Continue reading What is the difference between self-attention and multi-head attention in the Transformer architecture?
How would you describe the function of the feedforward neural network (FFN) in the Transformer architecture?
Master LLM and Gen AI with 600+ Real Interview Questions Master LLM and Gen AI with 600+ Real Interview Questions How would you describe the function of the feed-forward neural network (FFN) in the Transformer architecture?A) To perform the embedding of input tokens before applying attention.B) To apply non-linear transformations to the attention outputs for … Continue reading How would you describe the function of the feedforward neural network (FFN) in the Transformer architecture?
What is the purpose of using multi-head attention in Transformer models?
Master LLM and Gen AI with 600+ Real Interview Questions Question:What is the purpose of using multi-head attention in Transformer models?A) To reduce the complexity of training by splitting attention across multiple layers.B) To capture diverse relationships in the data by attending to different parts of the sequence simultaneously.C) To enhance gradient flow across layers … Continue reading What is the purpose of using multi-head attention in Transformer models?
How would you explain the significance of positional encoding in a Transformer model?
Master LLM and Gen AI with 600+ Real Interview Questions Question: How would you explain the significance of positional encoding in a Transformer model? A) It eliminates the need for token embeddings by encoding word positions directly.B) It enables the model to process sequences in a random order without losing context.C) It provides the model … Continue reading How would you explain the significance of positional encoding in a Transformer model?
Top 100 Machine Learning Interview Questions and Answers
In this post, we will discuss Top 100 Machine Learning Interview Questions and Answers.
Chat Bot using Python, Machine Learning, NLP, Keras and NLTK
Introduction Chatbots are often used by businesses and organizations to automate customer service, sales, and marketing interactions, as well as to provide 24/7 support to their customers. They can also be used for personal purposes, such as entertainment, education, and productivity. In this article we are going to create a Chat bot using Python, Machine … Continue reading Chat Bot using Python, Machine Learning, NLP, Keras and NLTK
No Code or Low Code Machine Learning AI Platforms
No Code or Low Code AI/ML Platforms
Top 10 Things to Know About Deep Learning
Deep learning is a particular type of machine learning. It makes use of ANNs, or artificial neural networks. The artificial neural networks contains several layers that...
Top 10 Things to Know About Artificial Intelligence
Artificial intelligence, or AI, is the simulation of human intelligence in machines. It has been built to learn and make decisions similar to how individuals do.