galgia

6 ms·

1.
Show HN: Pawnch – Addicitve chess puzzles with explanations(puzzle-crush.vercel.app)
1 points by galgia 9mo ago|0 comments
2.
by galgia 2y ago
Every time I start a new project I have to collect the data and guide clients through the first few weeks before I get some decent results to show them. This is why I created a libary to quickly build classic data science pipelines with LLM
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by galgia 2y ago
Good point! LLMs are best when you are starting from point 0.
4.
by galgia 2y ago
LLMs are not the most efficient way to solve the problem, but they can solve it.
5.
by galgia 2y ago
Exactly, scale after you need to.
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by galgia 2y ago
Yes, LLMs are not always the best option, they are an option. Sometimes requirements of the project are such that they are also the best option. There is one browser that uses price matching example that is impossible to do without a full-b
7.
by galgia 2y ago
+ I assumed that most people will ctrl+a -> ctrl+c -> ChatGPT -> ctrl+v
8.
by galgia 2y ago
I belive that LLMs will become better and better in the near future and pipelines will replace classic approaches with LLM-enriched pipelines will drastically simplify the ETL flows.
9.
by galgia 2y ago
If your problem is compute, you are already optimizing. This is here for all the steps before you start thinking latency-compute. Not all use cases are made equal.
10.
by galgia 2y ago
I see it as a gray area - long term there will be a need for both and you will have just one tool to choose from when presented with time-budget-quality constraints.
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by galgia 2y ago
You are right! This is here to be used when your resources do not allow you to build full-blow solutions. Yes, I used LLMs to help create examples from my existing code, but they are based on things I have put in production when the client&
12.
by galgia 2y ago
Exactly!
13.
Classic Data science pipelines built with LLMs(github.com)
196 points by galgia 2y ago|86 comments
14.
Show HN: LangChain, but for Software Engineers(github.com)
2 points by galgia 2y ago|0 comments
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Open-source simplified LangChain alternative(flashlearn.tech)
2 points by galgia 2y ago|0 comments
16.
Build AI agent for PR reviews – Full code(github.com)
3 points by galgia 2y ago|0 comments
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Enterprise AI agents examples with full code(github.com)
1 points by galgia 2y ago|0 comments
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Minimal browser AI agent example you will understand(github.com)
2 points by galgia 2y ago|0 comments
19.
by galgia 2y ago
Thank you! It took a while :)
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Show HN: I made AI agent lib that you will understand(github.com)
7 points by galgia 2y ago|3 comments
21.
Browser AI agents for product price matching – FULL CODE(github.com)
1 points by galgia 2y ago|0 comments
22.
by galgia 2y ago
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like stru
23.
Flashlearn – Use LLMs with a simple fit/predict flow(github.com)
1 points by galgia 2y ago|1 comments
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Show HN: I hacked LLMs to work like scikit-learn(github.com)
4 points by galgia 2y ago|0 comments
25.
Perplexity clone in 21 lines of code(github.com)
1 points by galgia 2y ago|1 comments
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by galgia 2y ago
Minimal Perplexity clone. What it does: - Input user query - Generate 1 to n google queries to find the answer - Use this queries to query Google - Generate response with links to sources You can retrieve from any source line this and impro
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by galgia 2y ago
When you want AI to perform tasks independently, it's important to be able to control it and understand its actions. Additionally, you need a way to organize the results and manage the inputs efficiently. FlashLearn simplifies this pro
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by galgia 2y ago
Yes, you can! The responses are always structured, you will have to read the files yourself (as img/text/audio or mixed) and then you can feed them to the FlashLearn agent to complete tasks with them.
29.
by galgia 2y ago
Yes, you can find them on GitHub in the folder /examples. There you will find more samples and flows on how to use it. The examples are elementary, but they should give you an idea of how to build one.
30.
Show HN: Agents Made Simple(github.com)
5 points by galgia 2y ago|6 comments

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