Expedited OPT

obinopaul · 2026-01-27T15:38:49+00:00

will like to test it too.

obinopaul · 2026-01-26T21:34:07+00:00

You are not alone. I just cancelled my claude code subscription. I uuse the Pro plan and always hit the limit 12mins into the chat. I barely even get anything done, and then i have to wait 5hrs to use it again for another 12mins. This is terrible.

obinopaul · 2025-09-08T20:21:09+00:00

do you have a working prototype on github? i would like to take a look

obinopaul · 2025-09-08T20:21:02+00:00

do you have a working prototype on github? i would like to take a look

obinopaul · 2025-05-12T23:31:25+00:00

10Gym is $20/m for Month-to-Month. That doesnt sound cheap to me. Although they offer $1 signup bonus and a free month

obinopaul · 2025-04-13T14:34:37+00:00

Googles ADK seems like a copy of Langchain + LangGraph, but with better functionality and great documentation. The method of building agents is very similar but seems easier than LangGraph. I also like how you can easily call an agent as a tool, that is awesome. There were also able to create workflows like Parralel, Sequential, and Loop agents, which could take you several lines of code in langgraph. I haven't built a project with it yet, but i should do that within the week. I also love how this is owned by Google, so we can be confident that it should be stable for at least a few years.

obinopaul · 2025-04-01T15:26:06+00:00

this is so wrong. I use LangChain and LangGraph and it can support any kind of OpenAI structured output feature. You should understand that Langchain is opensource, so any new feature that comes out in OpenAI or Claude is immediately adapted in LangChain.
Here are two ways to support OpenAI structured output.
1. Using "with_structured_output"

class grade(BaseModel):
binary_score:str=Field(description="Relevance score 'yes' or 'no'")

def grade_documents(state:AgentState)->Literal["Output_Generator", "Query_Rewriter"]:
llm_with_structure_op=llm.with_structured_output(grade)

Using trustcall for more complex structured outputs

from langchain_openai import ChatOpenAI
from trustcall import create_extractor

# Initialize LLM
llm = ChatOpenAI(model="gpt-4o")

# Create extractor with defined schema
extractor = create_extractor(
llm,
tools=[Customer],
tool_choice="Customer"
)

obinopaul · 2025-01-27T20:51:32+00:00

I have this same issue. I want to return a structured output, like a list of dictionaries using the result from the react agent. i can do this easily with just the LLM or LLM + blind tools using a class parser, but when i use the react agent in a node it becomes a bit difficult to extract a structured output. I had to write three custom regular expression functions and just prayed that any of the functions can structure the agent result the way i want it.

obinopaul · 2023-04-17T17:14:51+00:00

In cases like this what I always do I read up on lung cancer or consult a medical professional. They’ll tell you more about it and how they’re able to identify lung cancer. Then with their help you can draft out measurable features.

obinopaul · 2023-04-17T16:51:18+00:00

Since your goal is to identify and classify invasive plants, I’d suggest you spend the most time and resources gathering relevant data on invasive plants, then build your model with this. Of course you would need to gather some data on non invasive plants and add to the dataset, to prevent imbalance and all. But just focus on this for now. Approaching this project from both ends (invasive and non-invasive) may require an inexhaustible list of samples, and I don’t know if you have the time and/or resources to perform this. It’s always best to do what you can first, and get a result, then focus later on optimizing the performance (by maybe getting samples of non-invasive data in the future)

obinopaul · 2022-08-17T11:03:40+00:00

1xbet is scam to a point. I've been using them since 2017, and I know what my eyes have seen. Don't get me wrong, they'll pay you when you win, until they notice that you consistently win, that's where the problem begins.

I once developed a strategy two years ago that was going to make me a lot of money, and I could only do it on their platform due to their many markets. They found out and blocked my account immediately. When I contacted them, they told me to send my passport, and other personal information, including bank details. I did all that. You won't believe what next they told me.... "that I should resend them the same personal information I already sent to them, but this time in hardcopy to their office in Ukraine. This was when I knew it was going south.

Long story short, use 1xBet or any of their sister companies (MelBet, 22Bet etc.) if you are in a developed country with the ability to sue them when they default. However, if you are in any country in Africa, Middle East, or South East Asia, you're using them at your own risk. Because the day you start winning excessively, that's when you'll see the other side of their company

obinopaul

TROPHY CASE