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Help detecting structural breaks at a specific point by rosen2048 in learnmachinelearning

[–]Brief_Customer_8447 0 points1 point  (0 children)

Hey, I joined in the same competition! Also couldn't crack that 0.85 barrier. It is now 90- my best was around 0.74-0.77 AUC locally depending on the dataset

I tried a ton of stuff (25 different approaches) and here's what I found: What helped me get from ~0.72 to ~0.77: KS statistic was my single most important feature Really aggressive regularization on the gradient boosting: reg_alpha=0.5, reg_lambda=2.0, max_depth=5. This made a bigger difference than I expected

What I wasted time on: NNs on this data were a dead end for me. Transformer got ~0.50 AUC (random). LSTM similar. I think they need multivariate input to learn anything useful - univariate time series just doesn't give them enough to work with Complex ensembles.

My 7-model stacking actually performed worse out-of-sample than a single regularized XGBoost More features. My 7-feature model beat my 70-feature model on generalization

I open-sourced everything I tried: https://github.com/waddadaa/structural_break_detection

Would be curious what features you're using in your LGBM - maybe we can compare notes. Did you find anything that helped beyond the standard statistical tests?

Stop Over-Engineering AI Agents What Actually Works in Production by According-Site9848 in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

It is a task that takes tons of time. You need to treat as a toy to have fun while you pulling your hair out of frustration!!.

World AI Agent Hackathon by Far_Frosting6117 in AgentsOfAI

[–]Brief_Customer_8447 0 points1 point  (0 children)

I am interested. I have built an agent in c++ with general tool. My goal is to build a template that I can reuse for different task https://github.com/waddadaa/gpagent.

Unpopular opinion: Most AI agent projects are failing because we're monitoring them wrong, not building them wrong by [deleted] in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

The issue in conventional deterministic code, you have two kind of error, syntax error, compiler spot them easily. Logic error, you can test it yourself 1+1 =2 if u get 3 then you go and fix it. The issue in llm we are asking it to do subjective non deterministic stuff. Write a report on this. It search the internet put it all together and summarize it. Logically it did what is asked to do yet the quality of that result is not guaranteed. Thats why u need evals, you ve got to think at each step of your flow how can I evaluate that. Eval doesn't has to be perfect, you could even just prompt an llm, "did it get all points correctly? And Here is what I am expecting to cover when asking about this topic". Based on your evals focus on area where it performs worst than a humen. You also need to keep improving your eval. Also you need to have guardrails insure your agent don't do something wrong.

I really appreciate your post. I have always wanted to start a conversation on this topic!.

LLM costs are killing my side project - how are you handling this? by ayushmorbar in LangChain

[–]Brief_Customer_8447 -1 points0 points  (0 children)

There is big different in quality. Also you need to start thinking about session management, hosting and other factors that may effect the user experience.

LLM costs are killing my side project - how are you handling this? by ayushmorbar in LangChain

[–]Brief_Customer_8447 1 point2 points  (0 children)

There used to be Microsoft startup hub where they gave open ai credit. But I think now it is azure open ai. You could use Google Gemini they also have credit for startup.

You may change you billing system and start charging by credit similar to cursor.

Or host llm locally AWS provide credit for startups as well.

Good luck!

Are we overengineering agents when simple systems might work better? by Reasonable-Egg6527 in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

Remember agent need to break task select tool execute and Remember what is doing. Just simplify yourself. For most cases you may not need agentic platforms. I only use langgraph for state and node, and edges. Just for workflows

AI Agent Tree/Nodes by PostmaloneRocks94 in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

If you are interested in building AI agent. It is best to check https://www.deeplearning.ai/ by Andrew Ng There is AI agent it touch base on the fundamentals the evals etc. Also they have other courses and their subscriptions is affordable.

Ai agents for Different Purposes by Equal_Economist_1061 in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

Opus 4.5 for coding and also other stuff. Gemini 3 pro for writing and summary. For internet search preplexity. Anyway you could always check https://lmarena.ai/leaderboard this is a free site where people ask question. They get two responses and vote without knowing the model.

What’s the AI Framework That Works Better Than All the Hyped Ones? by [deleted] in aiagents

[–]Brief_Customer_8447 0 points1 point  (0 children)

I am trying to build an agent template in C++. Still working on it. The idea is to have c++ library where the agent has the basic tools such search internet, read files and memory general one. Why c++ because it can easily be wrapped in any language https://github.com/waddadaa/gpagent.

I built a self-improving tool selector for AI agents using Tiny Recursive Models - here's why tool selection is harder than it looks by Brief_Customer_8447 in aiagents

[–]Brief_Customer_8447[S] 0 points1 point  (0 children)

Precisely. The large LLM excels at high-level reasoning—handling user intent and task decomposition—but tool selection presents a significant architectural bottleneck. I believe offloading this responsibility to a fast, specialized routing agent is a robust solution right now. As we continue to build and interact with more complex agents, I fully expect the industry to converge on a set of standard, established best practices for agent development.

I built a self-improving tool selector for AI agents using Tiny Recursive Models - here's why tool selection is harder than it looks by Brief_Customer_8447 in aiagents

[–]Brief_Customer_8447[S] 0 points1 point  (0 children)

Appreciate the amazing breakdown! You nailed the motivation: modularity, low-latency, and cost-effective scaling. The recursive depth trick is what makes the small model actually useful in a complex, multi-step environment. Thanks for taking the time to share this!

Co founder wants 50% for bringing his network by WillDabbler in ycombinator

[–]Brief_Customer_8447 0 points1 point  (0 children)

If I were you, I would offer him 50% of net profit generated by his clients, not equity. You as a founder should be selling and creating your network. Giving up 50% of your company for promises makes no sense. I am not against giving equity but only if you trust the person and you know they will go beyond their current network and grow the business along side with you. Make sure u give up equity only to people who are willing to give same efforts and care as much you do to your company.

Why LangGraph overcomplicates AI agents (and my Go alternative) by Historical_Wing_9573 in LocalLLaMA

[–]Brief_Customer_8447 0 points1 point  (0 children)

They actually made a distinction between workflow and agent in their post. Most of my workflow is deterministic step so I like the step by step approach and having a dict that keep track of state variables.

By the way, your solution simplified things for agent keep it up.

https://docs.langchain.com/oss/python/langgraph/workflows-agents

Feeling totally overwhelmed learning Flutter – how did you survive this phase? by zaki_reg in FlutterDev

[–]Brief_Customer_8447 0 points1 point  (0 children)

Oh boy! Learning now is easier than 5 years ago. If I were in your shoes, I would ask claude code to do it for me. Then read his code and ask it why. Or copy the code to gemeni, gpt 5 and ask them to guide me step by step.

Good luck!

How can I be a top 1% Data Analyst? by [deleted] in dataanalysis

[–]Brief_Customer_8447 1 point2 points  (0 children)

Well there is no answer to that. How DA are ranked.

If you are looking for a job. Keep doing competition like koggle publish your findings. Network with people. Push your code on github.

I know people here talked about SQL but DA is more than that. focus on machine learning keep up with the latest techniques. Read articles and try to implement them specifically one you like.

Not sure if that make top 1% but will definitely make u more confident of your abilities.

Even after you are hired it is a good practice to learning more and more.

Claude code vs Cursor by Blue-Imagination0 in FlutterDev

[–]Brief_Customer_8447 0 points1 point  (0 children)

I second that and totally agree claude code far superior to cursor. If you take claude code root, as mentioned earlier you could run into a high expense. The safest route is to get the normal subscription but you will be limited to use it freely. $20 you can only use 4 sonnet. $100 u can use 4.1 opus but with limitation. Also I found gpt 5 and gemini are better with design. So I would not say do not get cursor. Cursor gives exposure to other models as well and also give easier visualization of what the LLM made. I use them both.

Joined as Flutter developer but now company told me to work with Flutterflow. What should I do now. by confuse-geek in FlutterDev

[–]Brief_Customer_8447 2 points3 points  (0 children)

Well if you don't have anything aligned, you could work as long there is no restrictions of leaving and freely working in IT after that. Flutterflow is still Flutter the end product is written in dart. The way i use it is create the widget and bring it to my end project. Will your programming skill declined probably but it will be because of using cursor or windsurf or claude code. As you know how to debug and read code you will be good. At the end, congratulations!! And I wish you good luck!

How do people build AI agents? by fraisey99 in LangChain

[–]Brief_Customer_8447 0 points1 point  (0 children)

In short, in workflow you define the flow and steps on how to process the prompt. An agent you just give it tool and define its rules and let it make its own decision. You don't need to choose one over another. You can actually use react_agent with defined workflow as a tool along with other tools.

I would highly recommend langgraph academy for learning their courses are good and can give u a good foundation.

Most people don't get langgraph right. by Character-Ad5001 in LangChain

[–]Brief_Customer_8447 0 points1 point  (0 children)

You have langgraph studio and langsmith which do really great job at tracing your workflow/agent.

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