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Understanding Large Language Models with Jodie Burchell
Mar 13, 2024
Discover the world of large language models with Dr. Jodie Burchell. Learn about different types of machine learning and where LLMs fit in. Understand their capabilities, limitations, and ethical considerations. Explore the evolution of GPT models and the challenges of scaling and hosting them. Dive into comparisons between GPT3 and GPT4 for language analysis tasks.
42:34
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Quick takeaways
- Large language models like GPT have revolutionized text processing by encoding vast knowledge with scalability through neural networks.
- Fine-tuning models with diverse textual examples and integrating retrieval augmented generation can mitigate inaccuracies and enhance performance.
Deep dives
Evolution of Large Language Models
Large language models have evolved significantly over time, transitioning from earlier symbolic rule-based approaches to current neural net-based models that excel in detecting patterns through vast amounts of data. The advent of transformer models like GPT has revolutionized language processing due to their scalability and ability to encode extensive knowledge from training data, leading to the emergence of powerful generalist natural language processing machines.
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