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2026-01-02 12:01:01 -

This hits close to home for anyone who's built a beautiful, clean dashboard only to have stakeholders request "just one more metric" until it's unusable. The technical side of data visualization is often the easy part—the real skill is navigating organizational politics and explaining why less truly is more.

This hits close to home for anyone who's built a beautiful, clean dashboard only to have stakeholders request "just one more metric" until it's unusable. 📊 The technical side of data visualization is often the easy part—the real skill is navigating organizational politics and explaining why less truly is more.

TOWARDSDATASCIENCE.COM

The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
What happens when your clear dashboard meets stakeholders who want everything on one screen The post The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity appeared first on Towards Data Science.

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Paylaşıldı! Towards Data Science s link
2026-01-02 12:01:01 -

Towards Data Science paylaşılan bir bağlantı
2026-01-02 12:01:01 -

This hits close to home for anyone who's built a beautiful, clean dashboard only to have stakeholders request "just one more metric" until it's unusable. The technical side of data visualization is often the easy part—the real skill is navigating organizational politics and explaining why less truly is more.

TOWARDSDATASCIENCE.COM

The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
What happens when your clear dashboard meets stakeholders who want everything on one screen The post The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity appeared first on Towards Data Science.

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Towards Data Science paylaşılan bir bağlantı
2026-01-02 13:31:01 -

The data field is evolving way beyond traditional analyst and scientist roles. This piece explores some lesser-known career paths that are gaining traction as companies figure out new ways to leverage their data. Worth a read if you're thinking about where to specialize next

The data field is evolving way beyond traditional analyst and scientist roles. This piece explores some lesser-known career paths that are gaining traction as companies figure out new ways to leverage their data. Worth a read if you're thinking about where to specialize next 📊

TOWARDSDATASCIENCE.COM

Off-Beat Careers That Are the Future Of Data
The unconventional career paths you need to explore The post Off-Beat Careers That Are the Future Of Data appeared first on Towards Data Science.

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Paylaşıldı! Towards Data Science s link
2026-01-02 13:31:01 -

Towards Data Science paylaşılan bir bağlantı
2026-01-02 13:31:01 -

The data field is evolving way beyond traditional analyst and scientist roles. This piece explores some lesser-known career paths that are gaining traction as companies figure out new ways to leverage their data. Worth a read if you're thinking about where to specialize next

TOWARDSDATASCIENCE.COM

Off-Beat Careers That Are the Future Of Data
The unconventional career paths you need to explore The post Off-Beat Careers That Are the Future Of Data appeared first on Towards Data Science.

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Towards Data Science paylaşılan bir bağlantı
2026-01-02 15:01:01 -

Drift detection is one of those "unsexy" ML topics that becomes extremely important once your model hits production. This piece covers why catching data and concept drift early is essential for systems that need to perform reliably over time. Worth a read if you're moving beyond model training into real-world deployment

Drift detection is one of those "unsexy" ML topics that becomes extremely important once your model hits production. This piece covers why catching data and concept drift early is essential for systems that need to perform reliably over time. Worth a read if you're moving beyond model training into real-world deployment 🔧

TOWARDSDATASCIENCE.COM

Drift Detection in Robust Machine Learning Systems
A prerequisite for long-term success of machine learning systems The post Drift Detection in Robust Machine Learning Systems appeared first on Towards Data Science.

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0 Yorumlar 1 hisse senetleri 143 Views

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Paylaşıldı! Towards Data Science s link
2026-01-02 15:01:01 -

Towards Data Science paylaşılan bir bağlantı
2026-01-02 15:01:01 -

Drift detection is one of those "unsexy" ML topics that becomes extremely important once your model hits production. This piece covers why catching data and concept drift early is essential for systems that need to perform reliably over time. Worth a read if you're moving beyond model training into real-world deployment

TOWARDSDATASCIENCE.COM

Drift Detection in Robust Machine Learning Systems
A prerequisite for long-term success of machine learning systems The post Drift Detection in Robust Machine Learning Systems appeared first on Towards Data Science.

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0 Yorumlar 0 hisse senetleri 96 Views

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MarkTechPost paylaşılan bir bağlantı
2026-01-02 20:19:01 -

This tutorial tackles something critical: treating AI agent safety as an engineering problem, not an afterthought. The approach of using multiple agents to red-team each other for prompt injection and tool misuse is practical and worth exploring if you're building agentic systems.

This tutorial tackles something critical: treating AI agent safety as an engineering problem, not an afterthought. The approach of using multiple agents to red-team each other for prompt injection and tool misuse is practical and worth exploring if you're building agentic systems. 🔧

WWW.MARKTECHPOST.COM

A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to Red-Team Tool-Using Agents and Enforce Safety at Runtime
In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks. We treat agent safety as a first-class engineering problem by orchestrating multiple agents that generate adversarial prompts, execute them against a guarded target agent, and judge the responses with structured evaluation […] The post A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to

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0 Yorumlar 1 hisse senetleri 159 Views

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Paylaşıldı! MarkTechPost s link
2026-01-02 20:19:01 -

MarkTechPost paylaşılan bir bağlantı
2026-01-02 20:19:01 -

This tutorial tackles something critical: treating AI agent safety as an engineering problem, not an afterthought. The approach of using multiple agents to red-team each other for prompt injection and tool misuse is practical and worth exploring if you're building agentic systems.

WWW.MARKTECHPOST.COM

A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to Red-Team Tool-Using Agents and Enforce Safety at Runtime
In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks. We treat agent safety as a first-class engineering problem by orchestrating multiple agents that generate adversarial prompts, execute them against a guarded target agent, and judge the responses with structured evaluation […] The post A Coding Implementation to Build a Self-Testing Agentic AI System Using Strands to

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MarkTechPost paylaşılan bir bağlantı
2026-01-02 20:56:01 -

Recursive Language Models are tackling one of the fundamental headaches in LLM development - the context length vs. accuracy vs. cost trilemma. Instead of cramming everything into one massive prompt, RLMs treat the input as an environment the model can explore with code and recursive calls. MIT's blueprint combined with Prime Intellect's RLMEnv could be a significant step toward more capable long-horizon agents.

Recursive Language Models are tackling one of the fundamental headaches in LLM development - the context length vs. accuracy vs. cost trilemma. Instead of cramming everything into one massive prompt, RLMs treat the input as an environment the model can explore with code and recursive calls. 🔄 MIT's blueprint combined with Prime Intellect's RLMEnv could be a significant step toward more capable long-horizon agents.

WWW.MARKTECHPOST.COM

Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents
Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat the prompt as an external environment and let the model decide how to inspect it with code, then recursively call […] The post Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents appeared first on MarkTechPost.

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Paylaşıldı! MarkTechPost s link
2026-01-02 20:56:01 -

MarkTechPost paylaşılan bir bağlantı
2026-01-02 20:56:01 -

Recursive Language Models are tackling one of the fundamental headaches in LLM development - the context length vs. accuracy vs. cost trilemma. Instead of cramming everything into one massive prompt, RLMs treat the input as an environment the model can explore with code and recursive calls. MIT's blueprint combined with Prime Intellect's RLMEnv could be a significant step toward more capable long-horizon agents.

WWW.MARKTECHPOST.COM

Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents
Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat the prompt as an external environment and let the model decide how to inspect it with code, then recursively call […] The post Recursive Language Models (RLMs): From MIT’s Blueprint to Prime Intellect’s RLMEnv for Long Horizon LLM Agents appeared first on MarkTechPost.

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