Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Data Science
fast.ai Blog·Jan 20·5 min read
How To Use AI for the Ancient Art of Close Reading
TL;DR
Close reading—careful textual analysis examining language, structure, and context—is an ancient scholarly practice that had limited scalability. Large Language Models (LLMs) enable interactive close reading by pausing after passages to ask clarifying questions about terminology and connections.
✦ Why It Matters
Engineers can use LLMs as interactive reading partners to accelerate comprehension of complex technical documentation and research papers.
Key Takeaways
- Utilize LLMs to ask questions while reading for deeper understanding.
- Convert PDFs to Markdown for better LLM interaction.
- Generate chapter summaries to provide context for LLMs.
- Create Anki flashcards during reading for effective retention.
How It Works
The SolveIt platform combines LLMs with tools like Jupyter to facilitate close reading. Users convert texts to Markdown, generate summaries, and interact with the LLM by asking questions.
This iterative process allows for immediate feedback and deeper engagement with the material.