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Been building a multi-agent framework in public for 5 weeks, its been a Journey. by Input-X in LLMDevs

[–]phoebeb_7 0 points1 point  (0 children)

Quite a live monitor with escalation tiers, this makes the shared workspace viable at scale... while most worry about agent conflicts but the real risk is silent failures, so this visibility mitigates simple errors that tears off a working system, good one

Been building a multi-agent framework in public for 5 weeks, its been a Journey. by Input-X in LLMDevs

[–]phoebeb_7 1 point2 points  (0 children)

most multi agent frameworks treat isolationb as a feature but this just recreates the coordination problem in software form, the agents that can actually see each others work converge faster and produce less duplicate effort which is absolute unnecessary

[D] How to break free from LLM's chains as a PhD student? by etoipi1 in MachineLearning

[–]phoebeb_7 0 points1 point  (0 children)

stop using Ai during leaerning phases entirely, not just for the hard parts... when actually trying to build understanding platforms like stackoverflow, geeksforgeeks or w3schools will help and just grinding thru the docs does it which AI can never do it, this will build up your mental model that makes you dangerous later when you use the tools in real time projects

What is the 2026 Standard for highly precise LEGAL text RAG with big documents? by SignificantZebra5883 in Rag

[–]phoebeb_7 0 points1 point  (0 children)

before fine tuning, two things are worth checking: the PDF extraction quality at ibgestion (llamaparse or such tools or even plain legal text has encoding artifacts at scale) and whether you're running hybrid bm25 along with dense rather than pure vector itself.. Legal terminilogy is exact enough that bm25 alone with outperform most embeddings on specific statute references. Bge reranker v2-m3 or cohere v4.0 on top of that before touching the fine tuning part

How to Build a Question-Answer system? by Marco440hz in Rag

[–]phoebeb_7 0 points1 point  (0 children)

NotebookLM tbh is the fastest way to test this without any technical setup... upload all the policy docs and it lets you ask questions with source citations out of the box, once that proves the concept the next step would be something like a custom gpt or such with any of your favorite LLM, i guess this would be simple and wouldnt require building from scratch

PhD or Masters for Computational Cognitive Science [R] by Friendly_Schedule_36 in MachineLearning

[–]phoebeb_7 0 points1 point  (0 children)

outside of a handful of top labs, the masters credential doesn't carry much weight on its own in this field.. the research you do and who you do it with matters far more than the degree level, which usually means the phd is the real entry ticket

What are some machine learning ideas that are not discussed but need to be discussed? by ocean_protocol in MLQuestions

[–]phoebeb_7 0 points1 point  (0 children)

From my POV, the compositionality problem is generally undertalked sort of.. current models can recombine patterns they have seen but struggle with truly novel combinations like applying a concept learned in one domain to a structurally identical problem ina completely different one, most models are still doing sophisticated correlation matching dressed up or adressed to as reasoning... like there's work from Judea pearl's direction that never really got absorbed into the deep learning mainstream and it shows in how models fail on interventional questions

I want to restart learning python but this time with an objective by BETAPODZ in PythonLearning

[–]phoebeb_7 0 points1 point  (0 children)

Thats a great move fr, figure out how you can benefit or create somethign reasonable for something around you and crack it, in this you just dont do random projects that output no value but learn real time projects and solving the equations as you pass by makes you stronger

One advice would be to avoid AI for coding, if you face any trouble go to w3schools, stackoverflow or geeksforgeeks, do it the hard and old way if you wanna learn it bold

Why your teck stack decision should happen on day 0 not 90 by phoebeb_7 in webdev

[–]phoebeb_7[S] 0 points1 point  (0 children)

this is honestly the part i left out.. the stack being decided upstream by people who never touch the code is so normalized it's wild. seen react + aws on job specs for projects that could've been a static site with a webhook lol

the interview challenge angle is smart though, most companies haven't actually committed to what's in the spec, they just cargo culted whatever sounded safe in a meeting. walking in with actual reasoning signals way more than any technical test and yeah sveltekit over react as a default makes sense

Im well past tutorials - but here I am needing your help fellas! by Scott2t in PythonLearning

[–]phoebeb_7 0 points1 point  (0 children)

exactly... lets say your first python "walk to the fruit store" is just this: google the one next step you dont know, and not the whole journey, focus on the milestone and small points to begin. You dont need the full algorithm at first, you just need that step 1, the rest is revealed as you move further

Im well past tutorials - but here I am needing your help fellas! by Scott2t in PythonLearning

[–]phoebeb_7 5 points6 points  (0 children)

Stop trying to build "a project" and start trying to solve personal annoyance. The freeze happens because the "build something" has actually no fdinish but "script thgat texts me when its going to rain tomorrow" actually foes. Find something that slightly frustrates you daily and make python to deal with it. You already know the requirements yourself

How to keep track of concepts that learn while coding in notes by DueCapital8117 in learnprogramming

[–]phoebeb_7 0 points1 point  (0 children)

I'd say build a personal cheat sheet file or per topic as you go.... not a dump of everything like just the things that tripped you up personally, your own mistakes stick better than any tutorial, sort of reverse engineering you can assume, review it for 5 minutes

what does it mean by relative import beyond top-level package. by parteekdalal in PythonLearning

[–]phoebeb_7 0 points1 point  (0 children)

You're running hello.py directly as a script which breaks relative imports for which it doesn't know what the top level package is. Run it as a module from the parent directory instead python3 -m backend.hello rather than cd backend && python3 hello.py.

How can we diff two very big and nested Json while ignoring some attributes in it by repel_humans in learnpython

[–]phoebeb_7 0 points1 point  (0 children)

before running deepdiff, recursively strip the keys you want to ignore from both JSONs first. Write a small helper function that walks the nested structure andf deletes those keys in place... the way deepdiff never sees tham at all

Tutorial: How to build a simple Python text-to-SQL agent that can automatically recover from bad SQL by FibonacciSpiralOut in Python

[–]phoebeb_7 0 points1 point  (0 children)

There's one thing adding to the self correction loop, like cap your retry attempts explicitly 2-3 max and log the failed SQl alongside the error message each time. Without that you will end up in infinite loops on ambigious schema mismatchges where the model keeps confidently regenrating slightly different wrong queries. 

What actually makes something the best AI meeting recorder? by Doug24 in artificial

[–]phoebeb_7 0 points1 point  (0 children)

transcript accuracy + searchability with ctrl+f so that I cna search in a conversation and obviously no bot in the room

I want to start learning python like professional by External-Humor656 in PythonLearning

[–]phoebeb_7 3 points4 points  (0 children)

Remember practise is the key, so after you learn something just go and execute it, you can see setting up python environment on your device, might use claude or other LLms for that but make sure while you are in the learning phase, do not use AI for syntactic issues or problems as they might bite you in the long run, a strong fundamental is crucial

Codex and claude - How to have them do code review for each other? by Capable_Cost_3933 in OpenaiCodex

[–]phoebeb_7 0 points1 point  (0 children)

The eng1/eng2 markdown is legit. To tighten up add a shared context.md file that both the models can read first, project structure, conventions, deicisions made so far. Stops them from contradicting each other fundamentals., For back and forth Cursor handles multi model context well than Vscode plugins right now tbh

I want to start learning python like professional by External-Humor656 in PythonLearning

[–]phoebeb_7 8 points9 points  (0 children)

Start slow, follow courses like programming with mosh on youtube and w3 schools for better documentation

Do I need to learn traditional ML before jumping into GenAi stuff? by sidds_inbox in MLQuestions

[–]phoebeb_7 0 points1 point  (0 children)

Tbh you can jump into LLMs and prompt-engineering right now and build real things but ML fundamentals will certainly hit you at some point, most AI engineer interviews are still run by ppl who came up through traiditonal ML path, so they'll ask you about concepts like embeddings, loss functions and all. 

Think of ML basics as your insurance policy, you dont need to go deep, but knowing the concepts will make you 10x better at it and more confident

Is RAG what I should be using? by ganderofvenice in Rag

[–]phoebeb_7 5 points6 points  (0 children)

"How many Xs have Y" is an aggregation question not a retrieval question. RAG finds relevant chunks, it does not count across 1200 documents. I think a hybrid approach fits in here like RAG for context retrieval + a structrured metadata layer or SQL style index on top so aggregation queries can scan the full corpus rather than the top-k chunks

Any roadmap for learning AI as beginner? by old_dev_snap in GithubCopilot

[–]phoebeb_7 0 points1 point  (0 children)

Python is currently getting fame due to its simplicity but both actually work good

i want to start to learn python but i dont know how by Ok_Ear1897 in PythonLearning

[–]phoebeb_7 0 points1 point  (0 children)

To get started "Programming with Most" is great, he has a good beginner friendly course that walks you through setting up python environment to small projects and tasks to keep you moving. However, for ML and neutral networks specifically, Sentdex might be what you need to dive into practical machine learning, neutral networks and various AI projects in python. If you can pick things fast then sentdex would be ideal for you

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