Author: Ricardo

AI Paper Summary AI Shorts

MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
ByRicardo July 19, 2025

Handling extremely long documents remains a persistent challenge for large language models (LLMs). Even with techniques such as length extrapolation and sparse attention, models often suffer from performance degradation and high computational costs. To address this, researchers from ByteDance Seed and Tsinghua University introduce MemAgent, a reinforcement learning-based memory agent designed to enable long-context processing…

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gemma3n llms-reasoning

This is Google’s latest Multi-model
ByRicardo July 19, 2025

Gemma3n explained simply! Continue reading on Artificial Intelligence in Plain English »

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Machine Learning ml-model-deployment

Why Most ML Models Die Before Production — How to Keep Them Alive?
ByRicardo July 19, 2025

Why Most ML Models Die Before Production — How to Keep Them Alive? You trained a shiny model. 99% accuracy, ROC curve smooth as butter, validation loss hugging zero. But when it hits production, it crashes and burns. This is the sad fate of most machine learning models. But why? And more importantly how do you prevent it? Let’s…

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Artificial Intelligence Technology

The Agentic Age: How AI’s Digital Teammates Are Quietly Remaking Our Careers, Companies, and…
ByRicardo July 19, 2025

The Agentic Age: How AI’s Digital Teammates Are Quietly Remaking Our Careers, Companies, and Economy The Agentic Age: How AI’s Digital Teammates Are Quietly Remaking Our Careers, Companies, and… was originally published in Artificial Intelligence in Plain English on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Agentic AI AI Agents

The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)
ByRicardo July 19, 2025

Table of contents What is an AI Agent? Why AI Agents Matter in 2025 Types of AI Agents Key Components of an AI Agent Leading AI Agent Frameworks in 2025 Practical Use Cases for AI Agents AI Agent vs. Chatbot vs. LLM The Future of Agentic AI Systems FAQs About AI Agents Conclusion What is…

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Agentic AI AI Agents

Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting
ByRicardo July 19, 2025

In this tutorial, we build a complete multi-agent research team system using LangGraph and Google’s Gemini API. We utilize role-specific agents, Researcher, Analyst, Writer, and Supervisor, each responsible for a distinct part of the research pipeline. Together, these agents collaboratively gather data, analyze insights, synthesize a report, and coordinate the workflow. We also incorporate features…

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Editors Pick Information Retrieval

This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations
ByRicardo July 19, 2025

Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing past behavior, interactions, and patterns to predict what users are likely to find relevant. Over time, techniques have shifted from basic filtering to advanced models powered by…

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Artificial Intelligence Editors Pick

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How
ByRicardo July 19, 2025

The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits the participation of data-rich organizations operating in regulated or proprietary environments. FlexOlmo—introduced by researchers at the Allen Institute for AI and collaborators—proposes a modular training…

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Editors Pick Staff

o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope
ByRicardo July 19, 2025

In this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model. Rather than having the model jump straight to an answer, CoT reasoning encourages it to break the problem down into logical steps—much like how a human would solve it. This approach improves accuracy, transparency, and…

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Artificial Intelligence Editors Pick

EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
ByRicardo July 19, 2025

LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code behaves during execution. This often leads to programs that look correct but fail when run. While recent methods introduce iterative refinement and self-debugging, they typically act…

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Author: Ricardo

MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs

This is Google’s latest Multi-model

Why Most ML Models Die Before Production — How to Keep Them Alive?

The Agentic Age: How AI’s Digital Teammates Are Quietly Remaking Our Careers, Companies, and…

The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)

Building a Multi-Agent AI Research Team with LangGraph and Gemini for Automated Reporting

This AI Paper Introduces ARAG: A Multi-Agent RAG Framework for Context-Aware and Personalized Recommendations

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope

EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback

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