Calabaza @CalaLinux

Debian GNU/Linux, Robotech, Chinese Joined June 2022

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Hasan Toor ✪ @hasantoxr

2 days ago

this was based on the brilliant textbook: "Foundations of Large Language Models" by Tong Xiao and Jingbo Zhu (NiuTrans Research Lab) arxiv: arxiv.org/abs/2501.09223… highly recommend it if you're serious about understanding LLMs deeply.

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Hasan Toor ✪ @hasantoxr

2 days ago

I finally understand how large language models actually work After reading the 2025 textbook “Foundations of LLMs” It blew my mind and cleared up years of confusion Here’s everything i learned (in plain english):

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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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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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Tim J. Baek @timothyjbaek

a week ago

I think we ALL want

Jon Hernandez @JonhernandezIA

a week ago

I think we ALL want

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Shubham Saboo @Saboo_Shubham_

a week ago

Introduction to Reinforcement Learning. The only book you need to fundamentally understand how agents learn optimal behavior through trial and error. 100% free to read.

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Shubham Saboo @Saboo_Shubham_

2 weeks ago

AI Agents can now turn research papers and URLs into working code. DeepCode uses multi-agent systems to convert PDFs, text prompts, and URLs into complete production-ready codebases with frontend, backend, and algorithms. 100% Opensource.

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Louis Gleeson @aigleeson

3 weeks ago

R.I.P Perplexity. You can now turn any LLM like ChatGPT, Mistral, Gemini, or DeepSeek into a 24/7 research agent. Here’s the exact mega prompt I use to automate all research for free:

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WILL NESS @N3sOnline

a month ago

@aaditsh link: kaggle.com/whitepaper-pro… my notes: OVERALL ADVICE 1. Start simple with zero-shot prompts, then add examples only if needed 2. Use API/Vertex AI instead of chatbots to access temperature and sampling controls 3. Set temperature to 0 for reasoning tasks, higher (0.7-1.0) for…

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Aadit Sheth @aaditsh

a month ago

Google literally published a 69-page prompt engineering masterclass

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Brute Logic @BRuteLogic

3 months ago

Practice your #XSS muscles. x55.is/brutelogic/gym

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Aadit Sheth @aaditsh

a month ago

MIT literally dropped a 20-hour masterclass on AI

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Aadit Sheth @aaditsh

a month ago

This guy literally dropped the best hands-on AI agents repo you’ll ever see

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Ekoparty | Hacking everything @ekoparty

2 months ago

¿Sabías que podés manipular lo que responde una IA… y ni siquiera es hacking tradicional? 🤖 ¡Nuevo webinar! “Prompt Injection vs. Jailbreaking: ¿En qué se diferencian y qué amenazas representan?” dictado por Cristian Cardelino. 🚀 🤓 "Prompt Injection" y "Jailbreaking" son…

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ℏεsam @Hesamation

2 months ago

There is no better place on the internet to learn about Context Engineering than this repo. It's literally a course with a learning path. It gathers the best resources and covers the theory + code for anything related to context, RAG, memory, and agentic systems and more.

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Brendan Jowett @jowettbrendan

a month ago

BREAKING: AWS just solved the biggest AI agent bottleneck. No more custom glue code. No more M×N tool chaos. No more protocol headaches. Introducing: Amazon Bedrock AgentCore Gateway Here's how it works:

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el.cine @EHuanglu

a month ago

this is over.. for traditional film studios Higgsfield just dropped Product-to-Video, you can now drop any product into any environment and.. the actor can even interact with it this is best way to do product commercial with AI.. for free here's how:

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Avi Chawla @_avichawla

a month ago

A graph-powered all-in-one RAG system! RAG-Anything is a graph-driven, all-in-one multimodal document processing RAG system built on LightRAG. It supports all content modalities within a single integrated framework. 100% open-source.

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Unwind AI @unwind_ai_

a month ago

ByteDance just opensourced a desktop automation AI Agent. This agent can use any desktop app, open files, and browse websites using vision models running locally. 100% Free, Opensource, and Local.

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Akshay 🚀 @akshay_pachaar

a month ago

Everyone is sleeping on this new OCR model! dots-ocr is a new 1.7B vision-language model that achieves SOTA performance on multilingual document parsing. - Supports 100+ languages - Works with both images and PDFs - Handles text, tables, formulas seamlessly 100% open-source.