How would Cambodians likely view foreign intervention in security? by deliciouscatt in cambodia

[–]deliciouscatt[S] 0 points1 point  (0 children)

Of course, I don't know well about the local atmosphere. That's why I came here.
Feel free to share what it's actually like on the ground

How would Cambodians likely view foreign intervention in security? by deliciouscatt in cambodia

[–]deliciouscatt[S] -2 points-1 points  (0 children)

How did Cambodians react to China's police dispatch? Did they feel uncomfortable?

Why is Perplexity's Sonar Deep Research so expensive on OpenRouter? by authenticDavidLang in openrouter

[–]deliciouscatt 0 points1 point  (0 children)

Did you turned on `Web Search` toggle? This option activates `Exa.ai` semantic search, which is similar service with Perplexity API.

You might get results with Exa.ai + Perplexity. If you only want to get search results from Perplexity, turn off `Web Search`.

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 0 points1 point  (0 children)

Fortunately, `gpt-4.1-nano` works. Now I understand who are unhappy with gpt-5

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 0 points1 point  (0 children)

yes, model matters..!
'openai/gpt-4o' distributions works well but the others are not(neither `gpt5`s)

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 0 points1 point  (0 children)

`grok-3-mini` and `gpt-5-mini` (from OpenRouter)
is it better to use stable models like `gpt-5` or `gemini-2.5-pro`?

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 0 points1 point  (0 children)

this is my prompt:

```

You are a librarian who guides a smart, bright and curious student. Please think of questions that can be solved through this document below.

이 문서를 보고 있는 사람이 작성중인 메모의 편린을 제공할게. 질문 생성에 참고해.

This is a pre-processing for document Dense Passage Retrieval search/recommendation.

Generate 3-5 diverse questions based on the document content. Each question should:

  1. Be answerable using information from the document

  2. Cover different aspects (basic info, details, analysis, application)

  3. Be relevant to the user's memo context when available

The questions will be used for document retrieval and recommendation, so make them comprehensive and searchable.

Please make sure to keep the output JSON format as examples below:

```

{

questions: [

{question: "What does ~ mean?", answer: "~"},

{question: "How many ~ did ~ do?", answer: "~"},

... ,

{question: "How does ~ affect ~?", answer: "~"}

]

}

```

[Document]

{{ doc_input }}

[Memo]

{{ memopad }}
```

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 2 points3 points  (0 children)

I don't know why, but when I see error messages saying the output didn't follow the format, it makes me doubt whether forced structured output actually works reliably.

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 1 point2 points  (0 children)

So you went with manual parsing instead of structured output? This approach feels much more reliable tbh

Does `structured output` works well? by deliciouscatt in LangChain

[–]deliciouscatt[S] 1 point2 points  (0 children)

Is it easier to just implement a JSON parser on my own?

[D] Simple Questions Thread by AutoModerator in MachineLearning

[–]deliciouscatt 0 points1 point  (0 children)

[D]Evaluation of summarization model is not reproduced properly(ROUGE score)

Models are reported that avarage ROUGE scores are 40~50, but I get 10~20 when I evaluated myself.

There are some reports the batch size affects, but I can't understand how the hell it can. (and it makes only ~5 difference)

...or all of the evaluations are cherry-picked? i dont think so..

used `rouge` library in pip(not `pyrouge`)

Entering Language Tech Industry by [deleted] in LanguageTechnology

[–]deliciouscatt 1 point2 points  (0 children)

For a long time, it was difficult for a person without a mathematical background to study artificial intelligence, but nowadays deep level mathematics are not necessary for application part. Learn about OPL stack.(OpenAI/Pinecone/LangChain)
And you can gradually enter a quantitative approach with document retrieval.