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

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

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

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

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

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

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

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

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

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

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

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

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

What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to

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Data Science

Exploratory Data Analysis: Gamma Spectroscopy in Python (Part 2)

part, I did an exploratory data analysis of the gamma spectroscopy data. We were able to see that using a modern scintillation detector, we can

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Data Science

The Hidden Trap of Fixed and Random Effects

What Are Random Effects and Fixed Effects? When designing a study, we often aim to isolate independent variables from those of no interest to observe

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Data Science

Stress Testing Supply Chain Networks at Scale on Databricks

Introduction In the recent trade war, governments have weaponized commerce through cycles of retaliatory tariffs, quotas, and export bans. The shockwaves have rippled across supply

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Data Science

Transforming Patient Referrals: Providence Uses Databricks MLflow to Accelerate Automation Across 1,000+ Clinics

Providence serves vulnerable and disadvantaged communities through compassionate, high-quality care. As one of the largest nonprofit health systems in the United States—with 51 hospitals, over

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  • Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons
  • Microsoft Edge Launches Copilot Mode to Redefine Web Browsing for the AI Era
  • Creating a Knowledge Graph Using an LLM
  • The Stanford Framework That Turns AI into Your PM Superpower
  • Smarter Decisions at Scale: How Lotus’s Uses AI and NLQ to Empower 3,000+ Stores with Real-Time Intelligence
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