Questionário de contexto do Windows

As respostas e explicações aparecem conforme você responde ao teste.

1. O que mede a janela de contexto de um modelo?
   • A resolução da tela da interface de bate-papo
   • A quantidade máxima de texto, em tokens, que o modelo pode considerar de uma só vez
   • Quantos usuários podem conversar ao mesmo tempo
   • O tamanho total do conjunto de dados de treinamento do modelo
2. How should a token be interpreted when budgeting language-model context?
   • As exactly one full word in every language
   • As exactly one sentence in every tokenizer
   • As a tokenizer-defined unit whose relation to words depends on the model and text
   • As the API password used to send a request
3. In a decoder-style request with a shared input-and-continuation budget, which supplied material uses that budget?
   • Instructions, conversation turns, document tokens, and the generated continuation
   • Only the latest user message
   • Only stored application files that were never supplied
   • Only generated output, with input always free
4. Under a dense full-attention pairwise-interaction model, how does comparison count scale when a request's token length doubles?
   • It becomes only twice as large under that model
   • It stays unchanged regardless of length
   • It becomes half as large
   • It becomes four times as large under the quadratic model
5. O problema “perdido no meio” refere-se a modelos que tendem a:
   • Crash sempre que a entrada for longa
   • Traduzir o meio de um documento para outro idioma
   • Lembrar melhor as informações no início e no final de uma entrada longa do que no meio
   • Ignore totalmente a primeira e a última frase
6. Why can retrieval be combined with a language model's limited context window?
   • It guarantees the lowest total cost for every workflow
   • It selects passages to supply rather than requiring the whole knowledge base as input
   • It permanently increases the model's supported token capacity
   • It removes the need to evaluate generated answers
7. In an illustrative shared context budget of 8,000 tokens, input uses 6,500. How many tokens remain before other limits or overhead?
   • 6,500
   • 8,000
   • 14,500
   • 1,500
8. What can happen when an input exceeds a language model interface's supported context?
   • Rejection, truncation, or application-side shortening, depending on the setup
   • Automatic permanent memory of all excluded text
   • Guaranteed silent deletion of the oldest message in every system
   • Automatic expansion of every model's trained architecture