Willy Ugarte @gitanol

PhD in Computer Science linkedin.com/in/willyugarte/ Peru Joined May 2011

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58
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89
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7

Connor Davis @connordavis_ai

3 days ago

🚨 Meta just exposed a massive inefficiency in AI reasoning Current models burn through tokens re-deriving the same basic procedures over and over. Every geometric series problem triggers a full derivation of the formula. Every probability question reconstructs…

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Shubham Saboo @Saboo_Shubham_

3 days ago

Build a Multi-agent app with MCP using Google ADK without writing a single line of Python Code, in simple YAML. All of this in ~5 mins. Step-by-step tutorial with opensource code:

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Kevin A. Bryan @Afinetheorem

5 days ago

AI economists and AI researchers: this is *excellent*. Details below, but as I feel like I've said in every talk on this topic since my slides said "GPT-2", 1) AI technical capabilities are better and improving quicker than you think, 2) impact on economy *much* slower. 1/13

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Askar Yusupov @pyoner

2 weeks ago

1/9 @buttondown published an insightful article by Hillel Wayne on how many seemingly hard LeetCode problems can be easily solved using constraint programming. He argues that using the right tool for the job, like a constraint solver, simplifies complex algorithmic challenges.…

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Epic Plain @EpicPlain

5 days ago

AWS Collaborates with Chugai Pharmaceutical Co. on Quantum-Inspired and Constraint ... aws.amazon.com/blogs/quantum-… #QuantumComputing

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Aiden @genamind

6 days ago

How to build an AI agent

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Andrej Karpathy @karpathy

5 days ago

"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive…

Deena Mousa @deenamousa

5 days ago

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Aadit Sheth @aaditsh

7 days ago

List of most important AI research for the past 3 years (for free)

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alphaXiv @askalphaxiv

7 days ago

Researchers show they can accelerate LLMs 100x & be 10,000x more energy efficient! Authors propose a hardware that has tiny analog memory devices which store cached information & processes attention directly on-chip, removing the need to move memory back and forth.

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Ashutosh Maheshwari @asmah2107

7 days ago

A friend of mine recently bombed MLE interview at NVIDIA, they asked: "We need to deploy a Llama-3 70B model on hardware with limited VRAM. You propose quantization. When is this a bad idea?" Here's how you break it down:

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Shubham Saboo @Saboo_Shubham_

6 days ago

We are launching a 5-Day AI Agents course on Kaggle. Learn about AI Agent patterns, agent tools, context engineering, memory management, agent evaluations and building production grade multi-agent systems with A2A. 100% free and open to all.

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🔥 Matt Dancho (Business Science) 🔥 @mdancho84

7 days ago

My AI data science stack: 1. Python ($0) 2. Pandas ($0) 3. Scikit Learn ($0) 4. LangChain ($0) 5. LangGraph ($0) 6. OpenAI API ($1/month) You literally can grow into a $200,000 career for less than $12/year. 👉This is how (register here): learn.business-science.io/ai-register

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Rohan Paul @rohanpaul_ai

a week ago

This MIT study proposes a new way to build AI agents that can actually generalize across different social tasks. Instead of just fine-tuning or prompting a language model on one dataset, the authors ground the prompts in behavioral theory and then validate them on related but…

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Tadeo Donegana Braunschweig @tadeodonegana

a week ago

Si estas incursionando en generative AI, tenes que leer AI Engineering de @chipro. Abarca desde los conceptos fundamentales de LLMs hasta fine-tuning y agents. Un must para todo aquel que quiera meterse en este campo.

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Santiago @svpino

2 weeks ago

best framework to build ai agents i've tried so far: google adk. there are several alternatives, but adk is really good plus their documentation is awesome.

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Python Programming @PythonPr

2 weeks ago

Data Analytics with Python

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Alex Xu @alexxubyte

2 weeks ago

6 Steps to Create a New AI Model

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anshuman @athleticKoder

2 weeks ago

You're in a ML Engineer interview at Anthropic, and the interviewer asks: "Your LLM inference is running out of GPU memory with long conversations. How do you fix this?" Here's how you answer:

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Ahmad @TheAhmadOsman

2 weeks ago

- you are - a random CS grad with 0 clue how LLMs work - get tired of people gatekeeping with big words and tiny GPUs - decide to go full monk mode - 2 years later i can explain attention mechanisms at parties and ruin them - here’s the forbidden knowledge map - top to bottom,…

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🔥 Matt Dancho (Business Science) 🔥 @mdancho84

2 weeks ago

Correlation is the skill that has singlehandedly benefitted me the most in my career. In 3 minutes I'll demolish your confusion (and share strengths and weaknesses you might be missing). Let's go: