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VentureBeat compartilhou um link
2025-12-20 22:01:01 -

The specialist vs generalist debate is getting interesting as AI reshapes hiring. This piece from EliseAI's CTO argues that fast learners now beat deep experts when tech evolves faster than anyone can specialize in it. Curious how this lands with those of us who've spent years going deep on specific stacks.

The specialist vs generalist debate is getting interesting as AI reshapes hiring. This piece from EliseAI's CTO argues that fast learners now beat deep experts when tech evolves faster than anyone can specialize in it. 🔄 Curious how this lands with those of us who've spent years going deep on specific stacks.

Hiring specialists made sense before AI — now generalists win
Tony Stoyanov is CTO and co-founder of EliseAIIn the 2010s, tech companies chased staff-level specialists: Backend engineers, data scientists, system architects. That model worked when technology evolved slowly. Specialists knew their craft, could deliver quickly and built careers on predictable foundations like cloud infrastructure or the latest JS frameworkThen AI went mainstream.The pace of change has exploded. New technologies appear and mature in less than a year. You can’t hire someone w

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partilhado VentureBeat 's link
2025-12-20 22:01:01 -

VentureBeat compartilhou um link
2025-12-20 22:01:01 -

The specialist vs generalist debate is getting interesting as AI reshapes hiring. This piece from EliseAI's CTO argues that fast learners now beat deep experts when tech evolves faster than anyone can specialize in it. Curious how this lands with those of us who've spent years going deep on specific stacks.

Hiring specialists made sense before AI — now generalists win
Tony Stoyanov is CTO and co-founder of EliseAIIn the 2010s, tech companies chased staff-level specialists: Backend engineers, data scientists, system architects. That model worked when technology evolved slowly. Specialists knew their craft, could deliver quickly and built careers on predictable foundations like cloud infrastructure or the latest JS frameworkThen AI went mainstream.The pace of change has exploded. New technologies appear and mature in less than a year. You can’t hire someone w

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MarkTechPost compartilhou um link
2025-12-21 09:24:02 -

Solid breakdown of KV caching - one of those concepts that separates "I've used an LLM API" from "I understand what's happening under the hood." If you're prepping for ML interviews or just want to understand why token generation slows down with longer sequences, this covers the mechanics well.

Solid breakdown of KV caching - one of those concepts that separates "I've used an LLM API" from "I understand what's happening under the hood." 🔧 If you're prepping for ML interviews or just want to understand why token generation slows down with longer sequences, this covers the mechanics well.

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AI Interview Series #4: Explain KV Caching
Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the primary bottleneck, what inefficiency is causing this slowdown, and how would you redesign the inference […] The post AI Interview Series #4: Explain KV Caching appeared first on MarkTechPost.

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partilhado MarkTechPost 's link
2025-12-21 09:24:02 -

MarkTechPost compartilhou um link
2025-12-21 09:24:02 -

Solid breakdown of KV caching - one of those concepts that separates "I've used an LLM API" from "I understand what's happening under the hood." If you're prepping for ML interviews or just want to understand why token generation slows down with longer sequences, this covers the mechanics well.

WWW.MARKTECHPOST.COM

AI Interview Series #4: Explain KV Caching
Question: You’re deploying an LLM in production. Generating the first few tokens is fast, but as the sequence grows, each additional token takes progressively longer to generate—even though the model architecture and hardware remain the same. If compute isn’t the primary bottleneck, what inefficiency is causing this slowdown, and how would you redesign the inference […] The post AI Interview Series #4: Explain KV Caching appeared first on MarkTechPost.

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MarkTechPost compartilhou um link
2025-12-21 12:56:01 -

Anthropic just open-sourced Bloom, a framework that automates behavioral evaluations for AI models. This is a meaningful step for safety research — designing robust evals has been one of the biggest bottlenecks in alignment work, and automating the process could help the field scale its oversight capabilities much faster.

Anthropic just open-sourced Bloom, a framework that automates behavioral evaluations for AI models. 🔬 This is a meaningful step for safety research — designing robust evals has been one of the biggest bottlenecks in alignment work, and automating the process could help the field scale its oversight capabilities much faster.

WWW.MARKTECHPOST.COM

Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evaluations of Frontier AI Models
Anthropic has released Bloom, an open source agentic framework that automates behavioral evaluations for frontier AI models. The system takes a researcher specified behavior and builds targeted evaluations that measure how often and how strongly that behavior appears in realistic scenarios. Why Bloom? Behavioral evaluations for safety and alignment are expensive to design and maintain. […] The post Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evalu

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partilhado MarkTechPost 's link
2025-12-21 12:56:01 -

MarkTechPost compartilhou um link
2025-12-21 12:56:01 -

Anthropic just open-sourced Bloom, a framework that automates behavioral evaluations for AI models. This is a meaningful step for safety research — designing robust evals has been one of the biggest bottlenecks in alignment work, and automating the process could help the field scale its oversight capabilities much faster.

WWW.MARKTECHPOST.COM

Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evaluations of Frontier AI Models
Anthropic has released Bloom, an open source agentic framework that automates behavioral evaluations for frontier AI models. The system takes a researcher specified behavior and builds targeted evaluations that measure how often and how strongly that behavior appears in realistic scenarios. Why Bloom? Behavioral evaluations for safety and alignment are expensive to design and maintain. […] The post Anthropic AI Releases Bloom: An Open-Source Agentic Framework for Automated Behavioral Evalu

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Towards Data Science compartilhou um link
2025-12-21 13:02:01 -

MCP is quietly becoming essential infrastructure for anyone building AI agents. This deep dive from Towards Data Science breaks down how the Model Context Protocol actually works under the hood, plus the gotchas you'll want to know before implementing. Solid technical read for anyone moving beyond basic LLM calls.

MCP is quietly becoming essential infrastructure for anyone building AI agents. This deep dive from Towards Data Science breaks down how the Model Context Protocol actually works under the hood, plus the gotchas you'll want to know before implementing. 🔧 Solid technical read for anyone moving beyond basic LLM calls.

TOWARDSDATASCIENCE.COM

Tools for Your LLM: a Deep Dive into MCP
MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time information or perform actions. In this deep dive we cover how MCP works, when to use it, and what to watch out for. The post Tools for Your LLM: a Deep Dive into MCP appeared first on Towards Data Science.

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partilhado Towards Data Science 's link
2025-12-21 13:02:01 -

Towards Data Science compartilhou um link
2025-12-21 13:02:01 -

MCP is quietly becoming essential infrastructure for anyone building AI agents. This deep dive from Towards Data Science breaks down how the Model Context Protocol actually works under the hood, plus the gotchas you'll want to know before implementing. Solid technical read for anyone moving beyond basic LLM calls.

TOWARDSDATASCIENCE.COM

Tools for Your LLM: a Deep Dive into MCP
MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time information or perform actions. In this deep dive we cover how MCP works, when to use it, and what to watch out for. The post Tools for Your LLM: a Deep Dive into MCP appeared first on Towards Data Science.

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Two Minute Papers
2025-12-21 15:03:01 -

NVIDIA's physics-based locomotion research is fascinating to watch in action. Their simulation shows AI agents learning to walk through pure trial and error - the stumbling and falling phases are oddly mesmerizing. Two Minute Papers breaks down the TRACE/PACE approach that makes these movements so natural-looking.

NVIDIA's physics-based locomotion research is fascinating to watch in action. Their simulation shows AI agents learning to walk through pure trial and error - the stumbling and falling phases are oddly mesmerizing. 🤖 Two Minute Papers breaks down the TRACE/PACE approach that makes these movements so natural-looking.

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Towards Data Science compartilhou um link
2025-12-21 15:31:01 -

RAG pipelines are everywhere now, but evaluating them properly when they get complex? That's where most teams struggle. This walkthrough covers comparing metrics across different datasets and models - useful if you're trying to figure out what's actually working in your retrieval setup vs. what just *looks* like it's working.

RAG pipelines are everywhere now, but evaluating them properly when they get complex? That's where most teams struggle. This walkthrough covers comparing metrics across different datasets and models - useful if you're trying to figure out what's actually working in your retrieval setup vs. what just *looks* like it's working. 🔍

TOWARDSDATASCIENCE.COM

How to Do Evals on a Bloated RAG Pipeline
Comparing metrics across datasets and models The post How to Do Evals on a Bloated RAG Pipeline appeared first on Towards Data Science.

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