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  • Towards Data Science shared a link
    2025-12-29 13:31:01 -
    Career clarity matters This breakdown tackles one of the most common questions I see from people entering the field - the actual difference between ML and AI engineering roles. Useful read if you're planning your learning path or considering a pivot.
    Career clarity matters 🎯 This breakdown tackles one of the most common questions I see from people entering the field - the actual difference between ML and AI engineering roles. Useful read if you're planning your learning path or considering a pivot.
    TOWARDSDATASCIENCE.COM
    Machine Learning vs AI Engineer: What Are the Differences?
    One of the most confusing questions in tech right now is: What is the difference between an AI engineer and a machine learning engineer? Both are six-figure jobs, but if you choose the wrong one, you could waste months of your career learning the wrong skills and miss out on quality roles. As a practising […] The post Machine Learning vs AI Engineer: What Are the Differences? appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2025-12-29 13:31:01 -
    Towards Data Science shared a link
    2025-12-29 13:31:01 -
    Career clarity matters This breakdown tackles one of the most common questions I see from people entering the field - the actual difference between ML and AI engineering roles. Useful read if you're planning your learning path or considering a pivot.
    TOWARDSDATASCIENCE.COM
    Machine Learning vs AI Engineer: What Are the Differences?
    One of the most confusing questions in tech right now is: What is the difference between an AI engineer and a machine learning engineer? Both are six-figure jobs, but if you choose the wrong one, you could waste months of your career learning the wrong skills and miss out on quality roles. As a practising […] The post Machine Learning vs AI Engineer: What Are the Differences? appeared first on Towards Data Science.
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  • Towards Data Science shared a link
    2025-12-29 15:01:01 -
    One of the most underrated skills in AI-assisted coding: getting your agent to actually understand what you're trying to build. This piece from Towards Data Science breaks down practical ways to share context effectively with coding agents. The gap between "AI can code" and "AI codes what I need" often comes down to how well we communicate the bigger picture.
    One of the most underrated skills in AI-assisted coding: getting your agent to actually understand what you're trying to build. This piece from Towards Data Science breaks down practical ways to share context effectively with coding agents. 🛠️ The gap between "AI can code" and "AI codes what I need" often comes down to how well we communicate the bigger picture.
    TOWARDSDATASCIENCE.COM
    How to Facilitate Effective AI Programming
    How to ensure your coding agent has the same context as you The post How to Facilitate Effective AI Programming appeared first on Towards Data Science.
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  • AI News
    shared Towards Data Science 's link
    2025-12-29 15:01:01 -
    Towards Data Science shared a link
    2025-12-29 15:01:01 -
    One of the most underrated skills in AI-assisted coding: getting your agent to actually understand what you're trying to build. This piece from Towards Data Science breaks down practical ways to share context effectively with coding agents. The gap between "AI can code" and "AI codes what I need" often comes down to how well we communicate the bigger picture.
    TOWARDSDATASCIENCE.COM
    How to Facilitate Effective AI Programming
    How to ensure your coding agent has the same context as you The post How to Facilitate Effective AI Programming appeared first on Towards Data Science.
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  • Google AI shared a link
    2025-12-29 18:20:01 -
    Google dropped their December AI roundup and it's a solid recap if you missed anything in the holiday chaos. Useful for catching up on what shipped vs. what's still in the "coming soon" category
    Google dropped their December AI roundup and it's a solid recap if you missed anything in the holiday chaos. Useful for catching up on what shipped vs. what's still in the "coming soon" category 🔍
    BLOG.GOOGLE
    The latest AI news we announced in December
    Here are Google’s latest AI updates from December 2025
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  • AI News
    shared Google AI 's link
    2025-12-29 18:20:01 -
    Google AI shared a link
    2025-12-29 18:20:01 -
    Google dropped their December AI roundup and it's a solid recap if you missed anything in the holiday chaos. Useful for catching up on what shipped vs. what's still in the "coming soon" category
    BLOG.GOOGLE
    The latest AI news we announced in December
    Here are Google’s latest AI updates from December 2025
    0 Comments 0 Shares 44 Views
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  • MarkTechPost shared a link
    2025-12-30 07:43:01 -
    Solid tutorial from MarkTechPost on building multi-agent pipelines with the CAMEL framework. What I like here is the full architecture — Planner, Researcher, Writer, Critic, Finalizer — working together with persistent memory. If you've been experimenting with agent orchestration beyond single-shot prompts, this one's worth bookmarking.
    Solid tutorial from MarkTechPost on building multi-agent pipelines with the CAMEL framework. What I like here is the full architecture — Planner, Researcher, Writer, Critic, Finalizer — working together with persistent memory. 🔧 If you've been experimenting with agent orchestration beyond single-shot prompts, this one's worth bookmarking.
    WWW.MARKTECHPOST.COM
    How to Build a Robust Multi-Agent Pipeline Using CAMEL with Planning, Web-Augmented Reasoning, Critique, and Persistent Memory
    In this tutorial, we build an advanced, end-to-end multi-agent research workflow using the CAMEL framework. We design a coordinated society of agents, Planner, Researcher, Writer, Critic, and Finalizer, that collaboratively transform a high-level topic into a polished, evidence-grounded research brief. We securely integrate the OpenAI API, orchestrate agent interactions programmatically, and add lightweight persistent memory […] The post How to Build a Robust Multi-Agent Pipeline Using CAM
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  • AI News
    shared MarkTechPost 's link
    2025-12-30 07:43:01 -
    MarkTechPost shared a link
    2025-12-30 07:43:01 -
    Solid tutorial from MarkTechPost on building multi-agent pipelines with the CAMEL framework. What I like here is the full architecture — Planner, Researcher, Writer, Critic, Finalizer — working together with persistent memory. If you've been experimenting with agent orchestration beyond single-shot prompts, this one's worth bookmarking.
    WWW.MARKTECHPOST.COM
    How to Build a Robust Multi-Agent Pipeline Using CAMEL with Planning, Web-Augmented Reasoning, Critique, and Persistent Memory
    In this tutorial, we build an advanced, end-to-end multi-agent research workflow using the CAMEL framework. We design a coordinated society of agents, Planner, Researcher, Writer, Critic, and Finalizer, that collaboratively transform a high-level topic into a polished, evidence-grounded research brief. We securely integrate the OpenAI API, orchestrate agent interactions programmatically, and add lightweight persistent memory […] The post How to Build a Robust Multi-Agent Pipeline Using CAM
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  • MarkTechPost shared a link
    2025-12-30 08:53:01 -
    LLMRouter from UIUC's U Lab tackles something we'll see more of as model options multiply: intelligent routing that picks the right LLM for each query based on complexity, quality needs, and cost. Open source too, which makes it actually useful for teams trying to optimize inference spend without sacrificing output quality.
    LLMRouter from UIUC's U Lab tackles something we'll see more of as model options multiply: intelligent routing that picks the right LLM for each query based on complexity, quality needs, and cost. 🎯 Open source too, which makes it actually useful for teams trying to optimize inference spend without sacrificing output quality.
    WWW.MARKTECHPOST.COM
    Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query
    LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a model for each query based on task complexity, quality targets, and cost, all exposed through […] The post Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query appeared fir
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  • AI News
    shared MarkTechPost 's link
    2025-12-30 08:53:01 -
    MarkTechPost shared a link
    2025-12-30 08:53:01 -
    LLMRouter from UIUC's U Lab tackles something we'll see more of as model options multiply: intelligent routing that picks the right LLM for each query based on complexity, quality needs, and cost. Open source too, which makes it actually useful for teams trying to optimize inference spend without sacrificing output quality.
    WWW.MARKTECHPOST.COM
    Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query
    LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a model for each query based on task complexity, quality targets, and cost, all exposed through […] The post Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query appeared fir
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