Main Takeaway: State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer. For years, interacting with large language models meant crafting better prompts โ€” refining instructions and hoping the model ...

Steering Vectors In Llms -

State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer. For years, interacting with large language models meant crafting better prompts โ€” refining instructions and hoping the model ... Most people think there are two ways to control an AI: write a better prompt, or fine-tune it on more data.

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  • State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer.
  • For years, interacting with large language models meant crafting better prompts โ€” refining instructions and hoping the model ...
  • Most people think there are two ways to control an AI: write a better prompt, or fine-tune it on more data.
  • In this AI Research Roundup episode, Alex discusses the paper: 'What Drives Representation
  • Ever wondered how a computer learns the meaning of words like king and queen?

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Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)

Steering vectors: tailor LLMs without training. Part I: Theory (Interpretability Series)

State-of-the-art foundation models are often seen as black boxes: we send a prompt in and we get out our - often useful - answer.

Steering vectors: tailor LLMs without training. Part II: Code (Interpretability Series)

Steering vectors: tailor LLMs without training. Part II: Code (Interpretability Series)

Read more details and related context about Steering vectors: tailor LLMs without training. Part II: Code (Interpretability Series).

Steering LLM Behavior Without Fine-Tuning

Steering LLM Behavior Without Fine-Tuning

... architecture 04:25 Linear representation of concepts 09:04

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Steering vectors in LLMs

Most people think there are two ways to control an AI: write a better prompt, or fine-tune it on more data. There's a third way ...

Mechanistic Analysis of LLM Steering Vectors

Mechanistic Analysis of LLM Steering Vectors

In this AI Research Roundup episode, Alex discusses the paper: 'What Drives Representation

Steering LLMs: How to Change AI Personality Without Fine-Tuning

Steering LLMs: How to Change AI Personality Without Fine-Tuning

Read more details and related context about Steering LLMs: How to Change AI Personality Without Fine-Tuning.

How AI Turns Words Into Vectors: Embeddings

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Ever wondered how a computer learns the meaning of words like king and queen? How does an AI know that king is more related ...

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For years, interacting with large language models meant crafting better prompts โ€” refining instructions and hoping the model ...

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