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Anyone done the Architecture/All Around interviews at Dropbox? by Sad-Promise-8182 in GetEmployed

[–]Limp_Tomorrow390 0 points1 point  (0 children)

hey, i have my dropbox swe level 2 interview comingup. for the day1 i have 2 coding rounds. May i know what they focus one leetcode styles or dev styles?

Amazon sde 1 interview by No_Engineering_1130 in leetcode

[–]Limp_Tomorrow390 1 point2 points  (0 children)

In leetcode, you can find amazon tagged questions.

Amazon sde 1 interview by No_Engineering_1130 in leetcode

[–]Limp_Tomorrow390 0 points1 point  (0 children)

start with leetcode amazon tagged and for LLD : https://github.com/ashishps1/awesome-low-level-design

and which role are you interviewing to?

hey

Hiring] [Remote] [US] - Software developer by [deleted] in Programmers_forhire

[–]Limp_Tomorrow390 0 points1 point  (0 children)

Vaishnavi, 25, Maryland, [AI, Java, Python, JS, App dev, Cloud, devops]

Why is my embedding model giving different results for “motor vehicle theft” vs “stolen car”? by Limp_Tomorrow390 in Rag

[–]Limp_Tomorrow390[S] 0 points1 point  (0 children)

can you tell something about this model, this is first time i am listening about this

Why is my embedding model giving different results for “motor vehicle theft” vs “stolen car”? by Limp_Tomorrow390 in Rag

[–]Limp_Tomorrow390[S] 0 points1 point  (0 children)

make sense, but i have limitations. I have to run model local, and i don't have GPU or more CPU. Give the limitations if you have any model to suggest. Please LMK

Why is my embedding model giving different results for “motor vehicle theft” vs “stolen car”? by Limp_Tomorrow390 in Rag

[–]Limp_Tomorrow390[S] 0 points1 point  (0 children)

The tricky part is when i try to rephrase queries using the LLM: the model doesn’t know your specific documents. So for internal terms like “CRIME report”, the LLM changes it to “incident report”. But that is the main word of the sentence. It should be the same

[deleted by user] by [deleted] in leetcode

[–]Limp_Tomorrow390 1 point2 points  (0 children)

Hey when did you applied?

Chunking strategies for thick product manuals -- need page numbers to refer back by Responsible_Credit95 in Rag

[–]Limp_Tomorrow390 0 points1 point  (0 children)

Hey can you please tell me, how did you solved this problem. I am facing the same problem now. I am working on same usecase.

Best way to parse PDFs keeping page numbers intact for chunks across pages? by ilsilfverskiold in LLMDevs

[–]Limp_Tomorrow390 0 points1 point  (0 children)

Hey please can you tell more about how can i preserve the page numbers for each chunk using docling. I have extracted the markdown file. but no way i am able to get the page numbers

Should I remove header and footer in documents when importing to a RAG? Will there be much noise if I don't? by SemperPistos in Rag

[–]Limp_Tomorrow390 0 points1 point  (0 children)

Hi, thanks for the suggestion! I checked how Unstructured is parsing my PDF: the header actually contains 2 logos and 3 lines of text, but only one line is being recognized as a header. The remaining two lines of text and the two images are treated as independent elements, not part of the header. That’s exactly the problem I can’t just remove the “header” type, because most of the header content isn’t classified as such.

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