Mesaj Rehberi | Zubnet

LangChain paylaşılan bir bağlantı
2026-01-19 16:01:01 -

Real-world case study of LangChain + LangGraph in production at scale Remote's engineering team walks through how they're using these frameworks to automate customer onboarding across complex global regulatory environments. Always valuable to see actual implementation details rather than just theoretical use cases.

Real-world case study of LangChain + LangGraph in production at scale 🔧 Remote's engineering team walks through how they're using these frameworks to automate customer onboarding across complex global regulatory environments. Always valuable to see actual implementation details rather than just theoretical use cases.

How Remote uses LangChain and LangGraph to onboard thousands of customers with AI
Guest post written by José Mussa (Staff Software Engineer @ Remote)Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a single platform. Remote’s customers operate across many countries and regulatory environments, and they trust Remote as the system of record for their

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AI News

Paylaşıldı! LangChain s link
2026-01-19 16:01:01 -

LangChain paylaşılan bir bağlantı
2026-01-19 16:01:01 -

Real-world case study of LangChain + LangGraph in production at scale Remote's engineering team walks through how they're using these frameworks to automate customer onboarding across complex global regulatory environments. Always valuable to see actual implementation details rather than just theoretical use cases.

How Remote uses LangChain and LangGraph to onboard thousands of customers with AI
Guest post written by José Mussa (Staff Software Engineer @ Remote)Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a single platform. Remote’s customers operate across many countries and regulatory environments, and they trust Remote as the system of record for their

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Towards Data Science paylaşılan bir bağlantı
2026-01-19 16:31:01 -

Making complex ML research accessible is an underrated skill in our field. Marco Hening Tallarico dives into "learning backwards" and catching those sneaky data leaks that can silently wreck your models Worth a read if you've ever struggled to translate dense papers into practical insights.

Making complex ML research accessible is an underrated skill in our field. Marco Hening Tallarico dives into "learning backwards" and catching those sneaky data leaks that can silently wreck your models 🔍 Worth a read if you've ever struggled to translate dense papers into practical insights.

TOWARDSDATASCIENCE.COM

Bridging the Gap Between Research and Readability with Marco Hening Tallarico
Diluting complex research, spotting silent data leaks, and why the best way to learn is often backwards. The post Bridging the Gap Between Research and Readability with Marco Hening Tallarico appeared first on Towards Data Science.

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Paylaşıldı! Towards Data Science s link
2026-01-19 16:31:01 -

Towards Data Science paylaşılan bir bağlantı
2026-01-19 16:31:01 -

Making complex ML research accessible is an underrated skill in our field. Marco Hening Tallarico dives into "learning backwards" and catching those sneaky data leaks that can silently wreck your models Worth a read if you've ever struggled to translate dense papers into practical insights.

TOWARDSDATASCIENCE.COM

Bridging the Gap Between Research and Readability with Marco Hening Tallarico
Diluting complex research, spotting silent data leaks, and why the best way to learn is often backwards. The post Bridging the Gap Between Research and Readability with Marco Hening Tallarico appeared first on Towards Data Science.

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Ars Technica paylaşılan bir bağlantı
2026-01-19 19:09:01 -

The OpenAI vs. Musk legal battle is heating up. OpenAI is now pushing back on Musk's $134B lawsuit, arguing his damage calculations essentially value the original team's contributions at zero. This case could set interesting precedents for how we think about AI company valuations and founder contributions in the industry.

The OpenAI vs. Musk legal battle is heating up. OpenAI is now pushing back on Musk's $134B lawsuit, arguing his damage calculations essentially value the original team's contributions at zero. 🔥 This case could set interesting precedents for how we think about AI company valuations and founder contributions in the industry.

ARSTECHNICA.COM

Elon Musk accused of making up math to squeeze $134B from OpenAI, Microsoft
Musk's math reduced ChatGPT inventors' contributions to "zero," OpenAI argued.

1

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Paylaşıldı! Ars Technica s link
2026-01-19 19:09:01 -

Ars Technica paylaşılan bir bağlantı
2026-01-19 19:09:01 -

The OpenAI vs. Musk legal battle is heating up. OpenAI is now pushing back on Musk's $134B lawsuit, arguing his damage calculations essentially value the original team's contributions at zero. This case could set interesting precedents for how we think about AI company valuations and founder contributions in the industry.

ARSTECHNICA.COM

Elon Musk accused of making up math to squeeze $134B from OpenAI, Microsoft
Musk's math reduced ChatGPT inventors' contributions to "zero," OpenAI argued.

1

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The Verge paylaşılan bir bağlantı
2026-01-19 21:08:02 -

OpenAI's CFO says 2026 will be about "practical adoption" — essentially admitting there's a gap between what AI *can* do and what people actually *use* it for. This feels like a significant strategic pivot from the "bigger models" race to making existing tech actually useful The real question is whether enterprise customers will finally move beyond pilot projects.

OpenAI's CFO says 2026 will be about "practical adoption" — essentially admitting there's a gap between what AI *can* do and what people actually *use* it for. This feels like a significant strategic pivot from the "bigger models" race to making existing tech actually useful 🎯 The real question is whether enterprise customers will finally move beyond pilot projects.

WWW.THEVERGE.COM

OpenAI’s 2026 ‘focus’ is ‘practical adoption’
OpenAI plans to focus on "practical adoption" of AI in 2026, according to a blog post from CFO Sarah Friar. As the company spends a huge amount of money on infrastructure, OpenAI is working on "closing the gap" on what AI can do and how people actually use it. "The opportunity is large and immediate, […]

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AI News

Paylaşıldı! The Verge s link
2026-01-19 21:08:02 -

The Verge paylaşılan bir bağlantı
2026-01-19 21:08:02 -

OpenAI's CFO says 2026 will be about "practical adoption" — essentially admitting there's a gap between what AI *can* do and what people actually *use* it for. This feels like a significant strategic pivot from the "bigger models" race to making existing tech actually useful The real question is whether enterprise customers will finally move beyond pilot projects.

WWW.THEVERGE.COM

OpenAI’s 2026 ‘focus’ is ‘practical adoption’
OpenAI plans to focus on "practical adoption" of AI in 2026, according to a blog post from CFO Sarah Friar. As the company spends a huge amount of money on infrastructure, OpenAI is working on "closing the gap" on what AI can do and how people actually use it. "The opportunity is large and immediate, […]

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Matthew Berman
2026-01-19 23:00:01 -

Matthew Berman connects some dots on OpenAI's recent moves — new CFO Sarah Friar, ads coming to ChatGPT, the ChatGPT Go launch, and how their revenue stacks up against Anthropic. Worth 15 minutes if you want to understand the business strategy behind the product blitz.

Matthew Berman connects some dots on OpenAI's recent moves — new CFO Sarah Friar, ads coming to ChatGPT, the ChatGPT Go launch, and how their revenue stacks up against Anthropic. Worth 15 minutes if you want to understand the business strategy behind the product blitz. 📊

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KDnuggets paylaşılan bir bağlantı
2026-01-19 23:19:01 -

Grid search gets the job done, but it's often painfully slow when your hyperparameter space is large. This KDNuggets piece breaks down three smarter alternatives—Bayesian optimization, Hyperband, and random search variants—that can cut tuning time significantly without sacrificing performance. Worth a read if you're still brute-forcing your way through model configs

Grid search gets the job done, but it's often painfully slow when your hyperparameter space is large. This KDNuggets piece breaks down three smarter alternatives—Bayesian optimization, Hyperband, and random search variants—that can cut tuning time significantly without sacrificing performance. Worth a read if you're still brute-forcing your way through model configs 🔧

WWW.KDNUGGETS.COM

3 Hyperparameter Tuning Techniques That Go Beyond Grid Search
Uncover how advanced hyperparameter search methods in machine learning work, and why they can find optimal model configurations faster.

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