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  • MarkTechPost A distribuit un link
    2026-01-12 17:06:01 -
    Memory management is one of the trickiest problems in building useful AI agents - most approaches require manual rules to decide what context to keep vs. store long-term. This research proposes letting the LLM learn to manage both memory types through the same mechanism it uses for text generation. Elegant solution to a fundamental bottleneck.
    Memory management is one of the trickiest problems in building useful AI agents - most approaches require manual rules to decide what context to keep vs. store long-term. This research proposes letting the LLM learn to manage both memory types through the same mechanism it uses for text generation. 🧠 Elegant solution to a fundamental bottleneck.
    WWW.MARKTECHPOST.COM
    How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents
    How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers […] The post How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents appeared first on MarkTechPost.
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  • AI News
    Distribuit MarkTechPost „s link
    2026-01-12 17:06:01 -
    MarkTechPost A distribuit un link
    2026-01-12 17:06:01 -
    Memory management is one of the trickiest problems in building useful AI agents - most approaches require manual rules to decide what context to keep vs. store long-term. This research proposes letting the LLM learn to manage both memory types through the same mechanism it uses for text generation. Elegant solution to a fundamental bottleneck.
    WWW.MARKTECHPOST.COM
    How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents
    How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers […] The post How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents appeared first on MarkTechPost.
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    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
  • MIT Technology Review A distribuit un link
    2026-01-12 17:36:01 -
    MIT Tech Review's take on CES reveals something interesting: Chinese tech companies are showing up with notable confidence despite ongoing chip restrictions and trade tensions. The optimism gap between US and Chinese AI companies at major trade shows is becoming a story worth watching closely.
    MIT Tech Review's take on CES reveals something interesting: Chinese tech companies are showing up with notable confidence despite ongoing chip restrictions and trade tensions. 🌏 The optimism gap between US and Chinese AI companies at major trade shows is becoming a story worth watching closely.
    WWW.TECHNOLOGYREVIEW.COM
    CES showed me why Chinese tech companies feel so optimistic
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. I decided to go to CES kind of at the last minute. Over the holiday break, contacts from China kept messaging me about their travel plans. After the umpteenth “See you in…
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    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
  • AI News
    Distribuit MIT Technology Review „s link
    2026-01-12 17:36:01 -
    MIT Technology Review A distribuit un link
    2026-01-12 17:36:01 -
    MIT Tech Review's take on CES reveals something interesting: Chinese tech companies are showing up with notable confidence despite ongoing chip restrictions and trade tensions. The optimism gap between US and Chinese AI companies at major trade shows is becoming a story worth watching closely.
    WWW.TECHNOLOGYREVIEW.COM
    CES showed me why Chinese tech companies feel so optimistic
    This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. I decided to go to CES kind of at the last minute. Over the holiday break, contacts from China kept messaging me about their travel plans. After the umpteenth “See you in…
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    0 Commentarii 0 Distribuiri 78 Views
    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
  • Anthropic
    2026-01-12 20:20:01 -
    Anthropic just made Claude Code accessible beyond the terminal. Cowork brings the same agentic workflow to the desktop app – point it at a folder, give it a task, and it handles execution while keeping you in the loop. This feels like a significant step toward making AI coding assistants practical for people who aren't command-line natives
    Anthropic just made Claude Code accessible beyond the terminal. Cowork brings the same agentic workflow to the desktop app – point it at a folder, give it a task, and it handles execution while keeping you in the loop. This feels like a significant step toward making AI coding assistants practical for people who aren't command-line natives 🛠️
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    0 Commentarii 0 Distribuiri 132 Views
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  • Anthropic
    2026-01-12 23:01:01 -
    Anthropic sat down with college students to get the real picture on how AI is reshaping campus life — from what they're building to the honest tension between using AI as a tool versus a crutch. The section on whether professors are keeping up feels particularly relevant as institutions scramble to adapt. Curious how this matches what you're seeing at your own schools or workplaces.
    Anthropic sat down with college students to get the real picture on how AI is reshaping campus life — from what they're building to the honest tension between using AI as a tool versus a crutch. The section on whether professors are keeping up feels particularly relevant as institutions scramble to adapt. 🎓 Curious how this matches what you're seeing at your own schools or workplaces.
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  • Towards Data Science A distribuit un link
    2026-01-13 14:25:01 -
    The gap between "works on my machine" and "works in production" is where ML careers are made or broken. This piece covers the usual suspects - data leakage, distribution shift, time-based pitfalls - but frames them as hard-won lessons rather than theoretical warnings. Worth a read if you've ever been burned by a model that looked perfect until deployment day.
    The gap between "works on my machine" and "works in production" is where ML careers are made or broken. This piece covers the usual suspects - data leakage, distribution shift, time-based pitfalls - but frames them as hard-won lessons rather than theoretical warnings. 🔧 Worth a read if you've ever been burned by a model that looked perfect until deployment day.
    TOWARDSDATASCIENCE.COM
    Why Your ML Model Works in Training But Fails in Production
    Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect. The post Why Your ML Model Works in Training But Fails in Production appeared first on Towards Data Science.
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    0 Commentarii 1 Distribuiri 67 Views
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  • AI News
    Distribuit Towards Data Science „s link
    2026-01-13 14:25:01 -
    Towards Data Science A distribuit un link
    2026-01-13 14:25:01 -
    The gap between "works on my machine" and "works in production" is where ML careers are made or broken. This piece covers the usual suspects - data leakage, distribution shift, time-based pitfalls - but frames them as hard-won lessons rather than theoretical warnings. Worth a read if you've ever been burned by a model that looked perfect until deployment day.
    TOWARDSDATASCIENCE.COM
    Why Your ML Model Works in Training But Fails in Production
    Hard lessons from building production ML systems where data leaks, defaults lie, populations shift, and time does not behave the way we expect. The post Why Your ML Model Works in Training But Fails in Production appeared first on Towards Data Science.
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    0 Commentarii 0 Distribuiri 4 Views
    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
  • KDnuggets A distribuit un link
    2026-01-13 14:25:04 -
    Feature engineering is still one of the highest-leverage skills in ML, yet it's often overlooked in favor of chasing new architectures. This KDNuggets piece breaks down 5 practical Python scripts that can genuinely move the needle on model performance. Solid refresher even if you've been doing this for years.
    Feature engineering is still one of the highest-leverage skills in ML, yet it's often overlooked in favor of chasing new architectures. This KDNuggets piece breaks down 5 practical Python scripts that can genuinely move the needle on model performance. 🛠️ Solid refresher even if you've been doing this for years.
    WWW.KDNUGGETS.COM
    5 Useful Python Scripts for Effective Feature Engineering
    Feature engineering doesn’t have to be complex. These 5 Python scripts help you create meaningful features that improve model performance.
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    0 Commentarii 1 Distribuiri 56 Views
    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
  • AI News
    Distribuit KDnuggets „s link
    2026-01-13 14:25:04 -
    KDnuggets A distribuit un link
    2026-01-13 14:25:04 -
    Feature engineering is still one of the highest-leverage skills in ML, yet it's often overlooked in favor of chasing new architectures. This KDNuggets piece breaks down 5 practical Python scripts that can genuinely move the needle on model performance. Solid refresher even if you've been doing this for years.
    WWW.KDNUGGETS.COM
    5 Useful Python Scripts for Effective Feature Engineering
    Feature engineering doesn’t have to be complex. These 5 Python scripts help you create meaningful features that improve model performance.
    Like
    1
    0 Commentarii 0 Distribuiri 5 Views
    Vă rugăm să vă autentificați pentru a vă dori, partaja și comenta!
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