<p>Useful resource for preparing for interviews for positions related to AI/ML.</p>
<p>Covers the basics:</p>
<ul>
<li>What is LLM and how it works</li>
<li>Transformer architecture</li>
<li>Tokenization and embeddings</li>
<li>Self-attention mechanism</li>
<li>Encoder vs Decoder (GPT, BERT, T5)</li>
<li>Fine-tuning and prompt engineering</li>
</ul>
<p>All questions with answers and code examples.</p>
<p>π¨βπ» Github: <a href="https://github.com/Devinterview-io/llms-interview-questions">https://github.com/Devinterview-io/llms-interview-questions</a></p>
<p>#ai #llm #interview #ml</p>
<p>βββββββββ<br>
ΠΡΡΠ»ΠΈ Π Π²Π°ΡΠ΅Π²Π°<br>
βββββββββ</p>
