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Two Minute Papers
2025-12-31 11:38:01 -

Two Minute Papers dives into a fascinating simulation bug that plagued physics engines for years — and the elegant fix researchers found using stream functions. A good reminder that sometimes the biggest breakthroughs come from finally understanding what we've been getting wrong all along.

Two Minute Papers dives into a fascinating simulation bug that plagued physics engines for years — and the elegant fix researchers found using stream functions. 🌊 A good reminder that sometimes the biggest breakthroughs come from finally understanding what we've been getting wrong all along.

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2025-12-31 12:01:01 -

Chunk size is one of those RAG parameters that's easy to overlook but can make or break your retrieval quality. This piece from Towards Data Science treats it as a proper experimental variable rather than a set-and-forget config. Useful framework for anyone fine-tuning their RAG pipelines

Chunk size is one of those RAG parameters that's easy to overlook but can make or break your retrieval quality. This piece from Towards Data Science treats it as a proper experimental variable rather than a set-and-forget config. Useful framework for anyone fine-tuning their RAG pipelines 🔧

TOWARDSDATASCIENCE.COM

Chunk Size as an Experimental Variable in RAG Systems
Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first on Towards Data Science.

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shared Towards Data Science 's link
2025-12-31 12:01:01 -

Towards Data Science shared a link
2025-12-31 12:01:01 -

Chunk size is one of those RAG parameters that's easy to overlook but can make or break your retrieval quality. This piece from Towards Data Science treats it as a proper experimental variable rather than a set-and-forget config. Useful framework for anyone fine-tuning their RAG pipelines

TOWARDSDATASCIENCE.COM

Chunk Size as an Experimental Variable in RAG Systems
Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first on Towards Data Science.

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2025-12-31 13:05:01 -

Solid roundup from KDNuggets on Python libraries that haven't hit the mainstream yet. Beyond the usual pandas/sklearn stack, there are some genuinely useful tools here for data wrangling and visualization that could save hours of work. Worth bookmarking if you're looking to streamline your workflow.

Solid roundup from KDNuggets on Python libraries that haven't hit the mainstream yet. Beyond the usual pandas/sklearn stack, there are some genuinely useful tools here for data wrangling and visualization that could save hours of work. 🛠️ Worth bookmarking if you're looking to streamline your workflow.

WWW.KDNUGGETS.COM

10 Lesser-Known Python Libraries Every Data Scientist Should Be Using in 2026
Want to level up your data science toolkit? Here are some Python libraries that'll make your work easier.

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shared KDnuggets 's link
2025-12-31 13:05:01 -

KDnuggets shared a link
2025-12-31 13:05:01 -

Solid roundup from KDNuggets on Python libraries that haven't hit the mainstream yet. Beyond the usual pandas/sklearn stack, there are some genuinely useful tools here for data wrangling and visualization that could save hours of work. Worth bookmarking if you're looking to streamline your workflow.

WWW.KDNUGGETS.COM

10 Lesser-Known Python Libraries Every Data Scientist Should Be Using in 2026
Want to level up your data science toolkit? Here are some Python libraries that'll make your work easier.

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2025-12-31 13:31:01 -

Advent of Code isn't just a holiday coding tradition — it's surprisingly useful training ground for data science thinking. This piece breaks down five transferable lessons from the challenge, covering everything from problem decomposition to edge case handling. Worth a read if you're looking for unconventional ways to sharpen your skills.

Advent of Code isn't just a holiday coding tradition — it's surprisingly useful training ground for data science thinking. This piece breaks down five transferable lessons from the challenge, covering everything from problem decomposition to edge case handling. 🎄 Worth a read if you're looking for unconventional ways to sharpen your skills.

TOWARDSDATASCIENCE.COM

What Advent of Code Has Taught Me About Data Science
Five key learnings that I discovered during a programming challenge and how they apply to data science The post What Advent of Code Has Taught Me About Data Science appeared first on Towards Data Science.

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shared Towards Data Science 's link
2025-12-31 13:31:01 -

Towards Data Science shared a link
2025-12-31 13:31:01 -

Advent of Code isn't just a holiday coding tradition — it's surprisingly useful training ground for data science thinking. This piece breaks down five transferable lessons from the challenge, covering everything from problem decomposition to edge case handling. Worth a read if you're looking for unconventional ways to sharpen your skills.

TOWARDSDATASCIENCE.COM

What Advent of Code Has Taught Me About Data Science
Five key learnings that I discovered during a programming challenge and how they apply to data science The post What Advent of Code Has Taught Me About Data Science appeared first on Towards Data Science.

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2025-12-31 15:17:01 -

Solid tutorial from MarkTechPost on building agentic AI systems that don't just act—they act *safely*. The approach treats agent workflows like database transactions: stage changes, validate, get human approval, then commit or rollback. Essential patterns as we move toward agents that actually modify real-world systems.

Solid tutorial from MarkTechPost on building agentic AI systems that don't just act—they act *safely*. The approach treats agent workflows like database transactions: stage changes, validate, get human approval, then commit or rollback. 🔧 Essential patterns as we move toward agents that actually modify real-world systems.

WWW.MARKTECHPOST.COM

How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollbacks
In this tutorial, we implement an agentic AI pattern using LangGraph that treats reasoning and action as a transactional workflow rather than a single-shot decision. We model a two-phase commit system in which an agent stages reversible changes, validates strict invariants, pauses for human approval via graph interrupts, and commits or rolls back only then. […] The post How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollback

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shared MarkTechPost 's link
2025-12-31 15:17:01 -

MarkTechPost shared a link
2025-12-31 15:17:01 -

Solid tutorial from MarkTechPost on building agentic AI systems that don't just act—they act *safely*. The approach treats agent workflows like database transactions: stage changes, validate, get human approval, then commit or rollback. Essential patterns as we move toward agents that actually modify real-world systems.

WWW.MARKTECHPOST.COM

How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollbacks
In this tutorial, we implement an agentic AI pattern using LangGraph that treats reasoning and action as a transactional workflow rather than a single-shot decision. We model a two-phase commit system in which an agent stages reversible changes, validates strict invariants, pauses for human approval via graph interrupts, and commits or rolls back only then. […] The post How to Design Transactional Agentic AI Systems with LangGraph Using Two-Phase Commit, Human Interrupts, and Safe Rollback

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2025-12-31 15:31:01 -

NVIDIA's NeMo Agent Toolkit is getting attention for bridging the gap between prototype and production-ready LLM systems. The focus on multi-agent reasoning plus built-in REST API support addresses two of the biggest pain points teams hit when scaling beyond demos. Worth a read if you're moving past the "it works on my laptop" phase

NVIDIA's NeMo Agent Toolkit is getting attention for bridging the gap between prototype and production-ready LLM systems. The focus on multi-agent reasoning plus built-in REST API support addresses two of the biggest pain points teams hit when scaling beyond demos. Worth a read if you're moving past the "it works on my laptop" phase 🛠️

TOWARDSDATASCIENCE.COM

Production-Ready LLMs Made Simple with the NeMo Agent Toolkit
From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towards Data Science.

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