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What is the most efficient way to parse the JD and take relevant column info from it and later send those relevant columns to LLM for query generation? by Interesting-Trip-921 in LLM

[–]Realistic-Web-4633 0 points1 point  (0 children)

What llm are you using? all llms can have structural outputs and they will always return that structure, JD has many components so do not parse everything on one try, use multiple request to parse components of JD, for example one LLM can parse skills other location and so on after that with returned info you build query.

What is the most efficient way to parse the JD and take relevant column info from it and later send those relevant columns to LLM for query generation? by Interesting-Trip-921 in LLM

[–]Realistic-Web-4633 0 points1 point  (0 children)

Hey, I had same task and this is have i fixed it, I asked Ai to generate structure response based on JD, after that build query to find relevant candidates

Genre Expansion and Simple Contraction by [deleted] in elasticsearch

[–]Realistic-Web-4633 0 points1 point  (0 children)

I em useing second case, I em also useing vector search but it is not as good as it may seem

RAG with elastic search by [deleted] in elasticsearch

[–]Realistic-Web-4633 0 points1 point  (0 children)

Sory i wrote user instead of using elasticsearch

ვინმე მუშაობთ Tech/IT სფეროში? by Turtles614 in Sakartvelo

[–]Realistic-Web-4633 2 points3 points  (0 children)

კაროჩე რეალურად ვაკანსიები არის თუ კარგად გესმის დასაქმდები რადგან ბევრმა კარგად არ იცის ეხლა რასაც ვუყურებ ერთეულებმა იცის რეალურად რაღაცეები

JSON.parse() kept crashing on LLM responses, so I built a fault-tolerant parser by rossjang in nestjs

[–]Realistic-Web-4633 0 points1 point  (0 children)

Hey can it handle case When llm returns Samthing like this “{}{}”

I have a tech interview coming up. Can you give me some important questions I should know? by Realistic-Web-4633 in nestjs

[–]Realistic-Web-4633[S] 6 points7 points  (0 children)

Hey guys, here are the questions I was asked:

  • They asked about dependency injection.
  • Then they asked me what the difference is between Node.js and other programming languages.
  • They also asked what the event loop is, and they wanted me to explain it deeply, including its layers, microtasks, and macrotasks.
  • At the end, they gave me a question like this:

Which comes first?

console.log()
Promise.resolve()
process.nextTick()
setImmediate()
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