Ultimate Guide to Using the Caselaw Access Project (CAP) in 2024 (With Examples)
Everything you need to know to effectively access Caselaw Access Project (CAP) data. Explore examples, insights, and the impact of licensing changes in 2024.
Everything you need to know to effectively access Caselaw Access Project (CAP) data. Explore examples, insights, and the impact of licensing changes in 2024.
A Denial of Service (DoS) attack is a malicious attempt to disrupt the normal functioning of a targeted server, service, or network by overwhelming it with a flood of internet traffic.
Common prompting techniques like zero-shot, few-shot, and chain-of-thought help guide language models toward more accurate next word prediction.
A hallucination is a convincingly inaccurate, nonsensical, or imprecise language model response due to lack of knowledge.
Grounding a language model is the process of connecting the model to an external source of knowledge - through either a curated data set or a web browser.
Fine-tuning is the process of teaching a language model specific input-output examples to adapt it for novel tasks.
Prompting a language model is instructing it to perform a specific task or set of tasks using natural language. It's helpful to imagine prompting as a form of delegation.
Large Language Models (LLMs) are next word predictors that can perform language tasks with human proficiency.
Language models mirror human cognitive limitations. For example, they suffer from the serial-position effect and get confused by excessive amounts of data.
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