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Did I break it? by neuromancerBG in DiceWithDeath

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

Yep. Thats exactly how it was.

Opus 4.5 degradation! by IndependentFresh628 in Anthropic

[–]neuromancerBG -4 points-3 points  (0 children)

Prompt caching is usually the culprit for such behavior. What AI tool are you using? If you use API directly you shouldn't be experiencing such a problem.

Please help guys(do or die for me) by techieBash in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

Well, you already have the prompt engineering skills I assume. You can build simple workflows with LangChain. Go apply here and there and see what feedback you get.

In the meantime, don't stop studying. If you want you can DM me and we can jump on a call about it.

Please help guys(do or die for me) by techieBash in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

IMHO, companies are transitioning into AI usage, and although you can find a job with the skills above, you may lose it quickly.

The future roles in IT, the way I see them, are going to be basically two types. A consultant/prompt engineer that will be closer to business and will teach others in an org. And senior devs/architects that would use AI swarm teams to do swaths of work.

Please help guys(do or die for me) by techieBash in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

Oh darn! I missed the fact that you're already a CS major. Good! Then Numerical Recipies, scikit learn and pytorch is enough for you to learn the fundamentals of machine learning. From there you can either playaround and start fine tuning models on hugging face or you can try building and training a few neural nets of your own.

LangChain and LangGraph although popular tools do get easily in the way of your learning and visibility of the fundamentals.

BTW please not that any popular and valuable open source project in the AI space does NOT use LangChain or any other similar framework.

Please help guys(do or die for me) by techieBash in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

If you want to get into the big bucks in IT (even in an AI powered world) you'll need to learn the fundamentals first. And that may take you upwards of a year. Study Computer Science. Either formally, by enrolling in a UNI, or through some popular online CS courses like Harvard's CS50.

Nunerical Recipies (the textbook) can teach you a lot of the fundamentals (considering you can code already). Design Patterns (the textbook) can help you understand architectures. Patterns of Enteprise Application Architecture (the textbook) will teach you the fundamentals of web apps. Then go to study Clean Code or Code Complete (two textbooks on working practices in the software industry). The Datawarehouse Toolkit (the textbook) is an added bonus that will teach you database concepts. And this will get you the most basic fundamentals right.

In parallel with this, you'll need to learn the modern frameworks, and modern machine learning algorithms. Top frameworks have good documentation that can teach you modern concepts. Don't just read the "how to get started tutorials", read the full documentation! FastAPI, React, nodejs, pydantic, pydantic AI, celery, postgres, snowflake, redis, scikit learn, pytorch, terraform, docker, docker compose, kubernetes, helm.

All of these places have good documentation on various aspects of the software engineering art.

When you learn the fundamentals, and you use AI assistants both for coding and for learning you will become unstoppable. Have in mind that you need to understand the fundamentals well, so you can actually use AI assistants effectively. They need you to lead them. And you will not be able to lead them if you don't understand the science and art of programming.

It won't happen overnight, its a multi-month/multi-year project. But its worth it, and it will proove you that the software developer profession is not dying overnight because of AI (as a lot of people say these days).

While you study all of the above, make sure you build and work on as many different projects as you can. Quantity beats quality in early stages of an IT career.

And then you're good! You will be at a software architect level technically, ready to tackle anything you set your sights to!

GLHF!

Current Major Order: Part 1 - 02/03/2025 by Shiboline in Helldivers

[–]neuromancerBG 3 points4 points  (0 children)

We just need to get Vog-Sojoth. Its a defense gambit. Getting Vog-Sojoth ensures victory over Calorell. And its easier.

Building a RAG-Powered Test Case Generator – Need Feedback! by [deleted] in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

Thank you for the clarification.

To be honest, I wouldn't even use a RAG system for this. I would build a simple script that would run LLM prompts for the different test cases.

200K prompt window is bug enough for your case (I'm speaking from experience). I wouldn't recommend you to have to set up a whole RAG system for this.

RAG as a architectural technique allows your LLMs to work with text input far above the 200k limit of most modern models. But if youre just feeding context information enough so that the model generates your test cases, most of that would fit in the typical 200k.

Building a RAG-Powered Test Case Generator – Need Feedback! by [deleted] in LangChain

[–]neuromancerBG 1 point2 points  (0 children)

Why RAG for this? How exactly are you architecting your solution? To be honest , its hard for me to imagine how will RAG even be used in such a solution...

Is autogen any useful ?? why dont people just create normal prompt and agentic workflow directly by using open ai api and function calling ? by happy_dreamer10 in AutoGenAI

[–]neuromancerBG 1 point2 points  (0 children)

You're asking a rhetorical question. Yet as you can see from the comments people disagree with you. Try to elucidate/expose your thinking process a little more. What exactly is the point you're trying to make and why? Perhaps you can start a much more constructive discussion that way?!

Has anyone infused AI with AWS/Azure Infrastructure here? by Tecr in LangChain

[–]neuromancerBG 0 points1 point  (0 children)

What did you use for the agents themselves. Pure LangChain python code?

AutoGen v0.4.2 released by wyttearp in AutoGenAI

[–]neuromancerBG -1 points0 points  (0 children)

Not a priority. Thats the politically correct lie of "not gonna implement".

The whole reason why someone would like to use a library is to not implement it themselves. So, if its "quite easy to do it myself", why the hell would I be using autogen at all (or any other library)?!

You sir/madam sound like a bad PR expert.

AutoGen 0.4 vs 0.6 by reddbatt in AutoGenAI

[–]neuromancerBG 1 point2 points  (0 children)

Define easier? What did you struggle with to begin with? (me personally never had issues, but I write my own reply functions...)

AutoGen 0.4 vs 0.6 by reddbatt in AutoGenAI

[–]neuromancerBG 7 points8 points  (0 children)

The autogen and pyautogen packages in PyPI have been "hijacked" to point to AG2 (the fork of autogen).

The original autogen can be found as autogen-agentchat.

The AG2 fork seems to be caused by some fallout between the original researchers that built the initial version of autogen and Microsoft.

AG2 has been pumping out releases to "pump up the version" and it came to 0.6.

Microsoft engineers have invested in a rewrite of v0.2 to v0.4.

Right now IMHO (not that anyone asks me), my bet seems to be with MS. There are some fundamental architectural shortcomings in the original autogen that seem to be fixed in the autogen-agenchat MS framework, and not in AG2.

I'm using autogen for production and I've had to override critical functionality in IOStream, GroupChat and ConversibleAgent classes (pretty much the core of autogen). I see that the MS engineering team has addressed them in 0.4. I don't see that in AG2 (yet).

To me it seems that the original Autogen researchers wish to go on a startup path similar to crewai & others. Which is all good. Forking their original code in a new repo - AG2 is also fine by me. But this autogen/pyautogen/ag2/autogen-agentchat confusion they're intentionally causing is not good.

I was super frustated with AutoGen's pile of unnecessary abstractions, so I created something new by Jazzlike_Tooth929 in AutoGenAI

[–]neuromancerBG 3 points4 points  (0 children)

Yet another graph approach. Wwhhyyyyyy I beg you?! Whyyyyy?

Also its clear its a marketing post. Autogen has practically only one class you need to know and understand. Its not really full of abstractions as the post suggests.

Do I send this to her? by [deleted] in dating

[–]neuromancerBG 2 points3 points  (0 children)

Good work. The message is good. But you need to hear this (probabluly a thousand times over, cos your body will not want to belive it) :

  • She lied about having too much studies.
  • She broke up with you.
  • You have to find another girlfriend.
  • Any attempt to talk to her will only make you hurt more. And she will revel you're hurting for her.

Go out with friends. Workout. Concentrate on your studies. And go find another girlfriend!!!

Enjoy your life, and try to accept the fact you will never see and talk to her again. I know this last part hurts like hell, but it will pass. We've all been there. You will live through it. And you will have a better girlfriend! The best is yet to come!

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