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The MLOps Component Nobody Builds in Their Portfolio (And Why It Matters Most)
LatestMedia

The MLOps Component Nobody Builds in Their Portfolio (And Why It Matters Most)

by EMMANUEL NWANGUMA — Most ML engineers know what a feature store is. Almost none have built one. Here’s everything I learned doing it from scratch.There’s a question that comes up in almost every serious ML engineering...

Towards AI faviconTowards AI·
Discussions

Accidentally Profound

I told Opus 4.8 to do the Gettysburg Address in caveman for entertainment, and it was... Well see for yourself Many many winter ago. Grandfather make new tribe. Tribe rule: all man same. Now tribe...

r/ClaudeAI faviconr/ClaudeAI·
RelatedOpus 4.8
Discussions

Simple Questions Thread

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead! Thread will stay alive until next one so keep posting after...

r/MachineLearning faviconr/MachineLearning·
Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch
Research

Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch

Parallax replaces LLA's per-query solver with a learned projector, doubling arithmetic intensity and improving perplexity at 0.6B and 1.7B. The post Parallax: A Parameterized Local Linear Attention...

Marktechpost faviconMarktechpost·
RelatedPerplexityPerplexityPerplexity AI
Media

Qdrant TurboQuant Explained: Is TurboQuant the Silver Bullet?

by Chien Vu Minh — Most engineers see quantization as shrinking vectors. TurboQuant asks a harder question: can you shrink them without breaking their geometry? The post Qdrant TurboQuant Explained: Is TurboQuant the...

Towards Data Science faviconTowards Data Science·
Media

Five Questions About Chronos-2, the Time Series Foundation Model

by Shuai Guo — Part 1: A practitioner's walkthrough of univariate, multivariate, covariate-informed, and cold-start forecasting. The post Five Questions About Chronos-2, the Time Series Foundation Model appeared...

Towards Data Science faviconTowards Data Science·
Research

v2.1.146

What's changed Renamed /simplify to /code-review with an optional effort level (e.g. /code-review high) Auto mode no longer suppresses AskUserQuestion when the user or a skill explicitly relies on it...

Claude Code Releases faviconClaude Code Releases·
Amazon Quick integration with time-series databases for market intelligence using MCP
Research

Amazon Quick integration with time-series databases for market intelligence using MCP

In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conversational language...

AWS ML Blog faviconAWS ML Blog·
Microsoft to unveil new AI models and Windows improvements at Build
Media

Microsoft to unveil new AI models and Windows improvements at Build

Microsoft is heading to San Francisco this week in a bid to win back developers at its Build conference. I've been attending Build since the days when Microsoft called it the Professional Developers...

The Verge AI faviconThe Verge AI·
RelatedMicrosoft
Research

v2.1.159

What's changed Internal infrastructure improvements (no user-facing changes)

Claude Code Releases faviconClaude Code Releases·
Media

After Nvidia’s $20B not-acqui-hire, AI chip startup Groq reportedly raising $650M

Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests,...

TechCrunch AI faviconTechCrunch AI·
RelatedNVIDIANVIDIAGroqGroq LPU
Claude Opus 4.8 is now available on AWS
Research

Claude Opus 4.8 is now available on AWS

This post covers Opus 4.8's improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock.

AWS ML Blog faviconAWS ML Blog·
Related AnthropicAmazon Web ServicesAWSOpus 4.8 Claude
Mastering Agentic Techniques: AI Agent Customization
Research

Mastering Agentic Techniques: AI Agent Customization

Autonomous AI agents are taking on all types of work for businesses: routing logistics fleets, triaging support tickets, generating code, and orchestrating... Autonomous AI agents are taking on all...

NVIDIA Developer faviconNVIDIA Developer·
Media

This AI weather startup is out-forecasting government agencies

WindBorne benefits from its unique combination of model-building and data collection. The company now has about 400 balloons in flight gathering sensor readings at any given time, launched from 15...

TechCrunch AI faviconTechCrunch AI·
Discussions

Bernie Sanders: A.I. Belongs to the People, Not to Billionaires

Selected excerpts: "The question, then, is not whether A.I. will change the world. It will. The question is: Who will own and control that future? Who will benefit from it, and who will be hurt by...

r/artificial faviconr/artificial·
Media

Making sense of the debate over AI psychosis

On the latest episode of Equity, we debate whether tech CEOs are "uniquely prone to AI psychosis."

TechCrunch AI faviconTechCrunch AI·
Research

How Braintrust turns customer requests into code with Codex

How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.

OpenAI faviconOpenAI·
Related OpenAIGPT-5.5Codex
Research

v2.1.150

What's changed Internal infrastructure improvements (no user-facing changes)

Claude Code Releases faviconClaude Code Releases·
Research

How Ramp engineers accelerate code review with Codex

How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours.

OpenAI faviconOpenAI·
Related OpenAIGPT-5.5Codex

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