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All Discussions

What's the advantage of using transformer-based vs LSTM-based in NLP?
What is a token in the Large Language Models context?
What is Semantic Analysis?
Can you provide a high-level overview of Transformers' architecture?
What's the Difference Between Self-Attention and Attention in the Transformer?
How can you evaluate the performance of Language Models?
What kind of tokenization techniques in LLMs do you know?
What are the Key Benefits of Transfer Learning for LLMs?
How is the Transformer Network better than CNNs and RNNs?
Is there a way to train a LLM to store a specific context?
What Transfer learning Techniques can you use in LLMs?
What's the difference between Wordpiece vs BPE?
What's the difference between Global and Local Attention in LLMs?
Why a Multi-Head Attention mechanism is needed in a Transformer-based Archi?
Encoder-decoder vs plain Seq2Seq for automatic translation?
What are some downsides of fine-tuning LLMs?
How does an LLM parameter relate to a weight in a Neural Network?
Difference between Word Embedding, Position Embedding and Positional Encoding?
Difference between Feature-based Transfer Learning vs. Fine Tuning in LLMs?
Why do transformers need Positional Encodings?

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