course
Attention Mechanism in LLMs: An Intuitive Explanation
Learn how the attention mechanism works and how it revolutionized natural language processing (NLP).
Apr 2024 · 8 min read
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Introduction to LLMs in Python
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What is an LLM? A Guide on Large Language Models and How They Work
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Understanding and Mitigating Bias in Large Language Models (LLMs)
Dive into a comprehensive walk-through on understanding bias in LLMs, the impact it causes, and how to mitigate it to ensure trust and fairness.
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tutorial
Natural Language Processing Tutorial
Learn what natural language processing (NLP) is and discover its real-world application, using Google BERT to process text datasets.
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An Introductory Guide to Fine-Tuning LLMs
Fine-tuning Large Language Models (LLMs) has revolutionized Natural Language Processing (NLP), offering unprecedented capabilities in tasks like language translation, sentiment analysis, and text generation. This transformative approach leverages pre-trained models like GPT-2, enhancing their performance on specific domains through the fine-tuning process.
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tutorial
How to Train a LLM with PyTorch
Master the process of training large language models using PyTorch, from initial setup to final implementation.
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code-along
Evaluating LLM Responses
In this session, we cover the different evaluations that are useful for reducing hallucination and improving retrieval quality of LLMs.
Josh Reini