Видео ютуба по тегу Llm Interpretability

The Dark Matter of AI [Mechanistic Interpretability]
The Dark Matter of AI [Mechanistic Interpretability]
Interpretability: Understanding how AI models think
Interpretability: Understanding how AI models think
Tracing the thoughts of a large language model
Tracing the thoughts of a large language model
What is interpretability?
What is interpretability?
Understanding LLM via Mechanistic Interpretability - Juan Carlos Trujillo - IV Encuentro UMI
Understanding LLM via Mechanistic Interpretability - Juan Carlos Trujillo - IV Encuentro UMI
Hacking LLMs: An Introduction to Mechanistic Interpretability — Jenny Vega
Hacking LLMs: An Introduction to Mechanistic Interpretability — Jenny Vega
A Window Into LLMs | Sparse Autoencoders Explained
A Window Into LLMs | Sparse Autoencoders Explained
What Do Neural Networks Really Learn? Exploring the Brain of an AI Model
What Do Neural Networks Really Learn? Exploring the Brain of an AI Model
The Utility of Interpretability — Emmanuel Amiesen
The Utility of Interpretability — Emmanuel Amiesen
Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)
Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)
Масштабируемость интерпретируемости
Масштабируемость интерпретируемости
Reading AI's Mind - Mechanistic Interpretability Explained [Anthropic Research]
Reading AI's Mind - Mechanistic Interpretability Explained [Anthropic Research]
On the Biology of a Large Language Model (Part 1)
On the Biology of a Large Language Model (Part 1)
How might LLMs store facts | Deep Learning Chapter 7
How might LLMs store facts | Deep Learning Chapter 7
Интерпретируемое и объяснимое машинное обучение
Интерпретируемое и объяснимое машинное обучение
Transformer Interpretability 5: What is a circuit, and how does it explain LLM behavior?
Transformer Interpretability 5: What is a circuit, and how does it explain LLM behavior?
Нил Нанда – Механистическая интерпретируемость: Вихревой тур
Нил Нанда – Механистическая интерпретируемость: Вихревой тур
Stanford CS25: V5 I On the Biology of a Large Language Model, Josh Batson of Anthropic
Stanford CS25: V5 I On the Biology of a Large Language Model, Josh Batson of Anthropic
Mechanistic Interpretability explained | Chris Olah and Lex Fridman
Mechanistic Interpretability explained | Chris Olah and Lex Fridman
LLM Interpretability: Exploring the Latest Research from OpenAI and Anthropic
LLM Interpretability: Exploring the Latest Research from OpenAI and Anthropic