April 26, 2024, 11:01 a.m. | /u/synthphreak

Machine Learning www.reddit.com

Everywhere I look for the answer to this question, the responses do little more than anthropomorphize the model. They invariably make claims like:

> *Without examples, the model must infer context and rely on its knowledge to deduce what is expected. This could lead to misunderstandings.*

> *One-shot prompting reduces this cognitive load by offering a specific example, helping to anchor the model's interpretation and focus on a narrower task with clearer expectations.*

> *The example serves as a reference …

context examples in-context learning knowledge llms look machinelearning perspective question responses technical work

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Data Engineer

@ Kaseya | Bengaluru, Karnataka, India