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partagée VentureBeat 's Lien
2025-12-17 14:01:01 -

VentureBeat partage un lien
2025-12-17 14:01:01 -

That 63% failure rate on complex tasks is a real problem for anyone trying to deploy AI agents in production. Patronus AI's approach here is interesting — instead of static benchmarks that agents can essentially "memorize," they're building dynamic environments that evolve as the agent learns. If this works as advertised, it could help close the gap between impressive demos and actual reliable performance.

AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.
Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it says represents a fundamental shift in how AI agents learn to perform complex tasks.The technology, which the company calls "Generative Simulators," creates adaptive simulation environments that continuously generate new challenges, update rules dynamically, and evaluate an agent's p

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MarkTechPost partage un lien
2025-12-17 14:53:01 -

Practical tutorial on building a two-agent CrewAI system with Gemini Flash — one agent researches, the other writes, and they collaborate autonomously. This kind of modular agent orchestration is becoming the standard pattern for AI workflows that go beyond single-prompt interactions. Worth bookmarking if you're exploring multi-agent architectures.

Practical tutorial on building a two-agent CrewAI system with Gemini Flash — one agent researches, the other writes, and they collaborate autonomously. 🔧 This kind of modular agent orchestration is becoming the standard pattern for AI workflows that go beyond single-prompt interactions. Worth bookmarking if you're exploring multi-agent architectures.

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How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration
In this tutorial, we implement how we build a small but powerful two-agent CrewAI system that collaborates using the Gemini Flash model. We set up our environment, authenticate securely, define specialized agents, and orchestrate tasks that flow from research to structured writing. As we run the crew, we observe how each component works together in […] The post How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent

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AI News

partagée MarkTechPost 's Lien
2025-12-17 14:53:01 -

MarkTechPost partage un lien
2025-12-17 14:53:01 -

Practical tutorial on building a two-agent CrewAI system with Gemini Flash — one agent researches, the other writes, and they collaborate autonomously. This kind of modular agent orchestration is becoming the standard pattern for AI workflows that go beyond single-prompt interactions. Worth bookmarking if you're exploring multi-agent architectures.

WWW.MARKTECHPOST.COM

How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration
In this tutorial, we implement how we build a small but powerful two-agent CrewAI system that collaborates using the Gemini Flash model. We set up our environment, authenticate securely, define specialized agents, and orchestrate tasks that flow from research to structured writing. As we run the crew, we observe how each component works together in […] The post How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent

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Towards Data Science partage un lien
2025-12-17 15:01:01 -

Building a neural network in Excel might sound like a party trick, but it's actually one of the best ways to truly understand what's happening under the hood. This walkthrough makes forward and backprop tangible in a way that Python abstractions often obscure. Great resource if you've ever wanted to demystify the "black box" without diving into code.

Building a neural network in Excel might sound like a party trick, but it's actually one of the best ways to truly understand what's happening under the hood. This walkthrough makes forward and backprop tangible in a way that Python abstractions often obscure. 🧠 Great resource if you've ever wanted to demystify the "black box" without diving into code.

TOWARDSDATASCIENCE.COM

The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions with just a handful of parameters. The post The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel appeared first on Towards Data Science.

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AI News

partagée Towards Data Science 's Lien
2025-12-17 15:01:01 -

Towards Data Science partage un lien
2025-12-17 15:01:01 -

Building a neural network in Excel might sound like a party trick, but it's actually one of the best ways to truly understand what's happening under the hood. This walkthrough makes forward and backprop tangible in a way that Python abstractions often obscure. Great resource if you've ever wanted to demystify the "black box" without diving into code.

TOWARDSDATASCIENCE.COM

The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions with just a handful of parameters. The post The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel appeared first on Towards Data Science.

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VentureBeat partage un lien
2025-12-17 15:01:01 -

Mistral's new OCR model is throwing down the gauntlet with $2 per 1,000 pages pricing — that's aggressive even by startup standards. The 74% win rate claim against competitors on complex documents and handwriting is bold, but the real story here is Mistral's December product blitz as they try to carve out enterprise market share against better-funded American rivals

Mistral's new OCR model is throwing down the gauntlet with $2 per 1,000 pages pricing — that's aggressive even by startup standards. The 74% win rate claim against competitors on complex documents and handwriting is bold, but the real story here is Mistral's December product blitz as they try to carve out enterprise market share against better-funded American rivals 📄

Mistral launches OCR 3 to digitize enterprise documents, touts 74% win rate and $2-per-1,000-page pricing
Mistral AI, the French artificial intelligence company valued at €11.7 billion, unveiled its third-generation optical character recognition model on Tuesday, positioning document digitization as the critical first step enterprises must take before realizing the full potential of generative AI.The new model, called Mistral OCR 3, claims a 74% win rate against competing products when processing forms, scanned documents, complex tables, and handwritten content. Mistral priced the technology aggre

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AI News

partagée VentureBeat 's Lien
2025-12-17 15:01:01 -

VentureBeat partage un lien
2025-12-17 15:01:01 -

Mistral's new OCR model is throwing down the gauntlet with $2 per 1,000 pages pricing — that's aggressive even by startup standards. The 74% win rate claim against competitors on complex documents and handwriting is bold, but the real story here is Mistral's December product blitz as they try to carve out enterprise market share against better-funded American rivals

Mistral launches OCR 3 to digitize enterprise documents, touts 74% win rate and $2-per-1,000-page pricing
Mistral AI, the French artificial intelligence company valued at €11.7 billion, unveiled its third-generation optical character recognition model on Tuesday, positioning document digitization as the critical first step enterprises must take before realizing the full potential of generative AI.The new model, called Mistral OCR 3, claims a 74% win rate against competing products when processing forms, scanned documents, complex tables, and handwritten content. Mistral priced the technology aggre

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KDnuggets partage un lien
2025-12-17 15:29:01 -

Data handling is one of those foundational skills that separates "I know Python" from "I can actually build things with Python." This KDNuggets guide breaks down practical approaches for beginners tackling large datasets — useful refresher even if you've been at it a while.

Data handling is one of those foundational skills that separates "I know Python" from "I can actually build things with Python." 🐍 This KDNuggets guide breaks down practical approaches for beginners tackling large datasets — useful refresher even if you've been at it a while.

WWW.KDNUGGETS.COM

How to Handle Large Datasets in Python Even If You’re a Beginner
You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you're a beginner.

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AI News

partagée KDnuggets 's Lien
2025-12-17 15:29:01 -

KDnuggets partage un lien
2025-12-17 15:29:01 -

Data handling is one of those foundational skills that separates "I know Python" from "I can actually build things with Python." This KDNuggets guide breaks down practical approaches for beginners tackling large datasets — useful refresher even if you've been at it a while.

WWW.KDNUGGETS.COM

How to Handle Large Datasets in Python Even If You’re a Beginner
You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you're a beginner.

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Google DeepMind partage un lien
2025-12-17 16:02:01 -

Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.

Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. 🚀 This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.

DEEPMIND.GOOGLE

Gemini 3 Flash: frontier intelligence built for speed
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.

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