Machine Learning Trends (@MLTrendss) profile picture

Machine Learning Trends

@MLTrendss

All Hottest #MachineLearning Trends

dormoshe.io
Joined September 2020
  • Tweets2.4K
  • Following16
  • Followers475
Microsoft Just Made Windows the OS-Level #Security Layer for #AI Agents. Here's What MXC Actually Does. #machinelearning #ml #artificialintelligence #dormosheio #devops dormoshe.io/trending-news/mi…
Microsoft Just Made Windows the OS-Level Security Layer for AI Agents. Here's What MXC Actually...

Microsoft Just Made Windows the OS-Level Security Layer for AI Agents. Here's What MXC Actually...

Windows hasn't been the interesting part of the AI developer story for the past two years. At Build 2026, Microsoft made a serious case for why that changes now — and the core of the argument isn't...

dormoshe.io
61
Your Agent Failed in Prod. Good Luck Reproducing It. #machinelearning #ml #artificialintelligence #ai #dormosheio #llm #testing dormoshe.io/trending-news/yo…
Your Agent Failed in Prod. Good Luck Reproducing It.

Your Agent Failed in Prod. Good Luck Reproducing It.

A ticket lands. A customer ran your agent yesterday, it called the wrong tool, deleted the wrong record, and now there is a screenshot in your inbox with a red box drawn around the damage. You have...

dormoshe.io
1
1
55
Production #AI Agents Have a Stack Problem #machinelearning #ml #artificialintelligence #dormosheio dormoshe.io/trending-news/pr…
Production AI Agents Have a Stack Problem

Production AI Agents Have a Stack Problem

71% of AI practitioners say they lack confidence in their deployed AI solutions. 66% report they don’t have the tools to deliver models that meet business goals. Nearly 1 in 3 teams can’t operation...

dormoshe.io
18
Pytorch for Neural Networks Part 4: Testing the Neural Network #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/py…
Pytorch for Neural Networks Part 4: Testing the Neural Network

Pytorch for Neural Networks Part 4: Testing the Neural Network

In the previous article, we defined the forward pass for our neural network. Now, we will provide inputs to the network so that we can test whether it works correctly.

dormoshe.io
15
The Query Was Still a Lie. The Tool Call Told the Truth. #machinelearning #ml #artificialintelligence #ai #dormosheio #security #agents dormoshe.io/trending-news/th…
The Query Was Still a Lie. The Tool Call Told the Truth.

The Query Was Still a Lie. The Tool Call Told the Truth.

This continues the Self-Correcting Systems research on why relevance alone is insufficient for agent memory safety. The previous gate stopped trusting the memory's own story about itself.

dormoshe.io
1
20
Evaluating Retrieval Quality in Ads Candidate Selection #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/ev…
Evaluating Retrieval Quality in Ads Candidate Selection

Evaluating Retrieval Quality in Ads Candidate Selection

In my previous posts, I talked about the broader Ads Retrieval stage and then went deeper into loss functions for Two Tower models. The natural next question is: once we train a retrieval model, ho...

dormoshe.io
10
Your #AI Agent Isn't Failing Because It Hallucinates — It's Failing Because of Rate Limits #machinelearning #ml #artificialintelligence #dormosheio #llm #devops dormoshe.io/trending-news/yo…
Your AI Agent Isn't Failing Because It Hallucinates — It's Failing Because of Rate Limits

Your AI Agent Isn't Failing Because It Hallucinates — It's Failing Because of Rate Limits

When my agents started failing in production, I did what everyone does first: I went hunting for hallucinations. Better prompts, tighter output schemas, more guardrails. None of it moved the needle...

dormoshe.io
1
1
30
How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really Mean) #machinelearning #ml #artificialintelligence #ai #dormosheio #deeplearning #llm dormoshe.io/trending-news/ho…
How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really...

How Model Distillation Actually Works (and What the 'China Distilled Our Model' Headlines Really...

Every few weeks a headline drops:

dormoshe.io
2
2
35
The Machine Learning Engineering Series #machinelearning #ml #artificialintelligence #ai #dormosheio #deeplearning #software dormoshe.io/trending-news/th…

The Machine Learning Engineering Series

. This machine learning series will be a real ride. It’s an interactive journey where I’ll be sharing and raising lots of questions while building real-world AI systems. My goal is to make this dee...

dormoshe.io
16
Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/py…
Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch

Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch

In my previous series of articles, we mainly explored the theory behind various neural network concepts. In this new series, we will focus on putting that knowledge into practice using code. This w...

dormoshe.io
16
#AI Agent Governance vs IAM vs DLP vs API Gateways: What Each One Actually Covers #machinelearning #ml #artificialintelligence #dormosheio #security #agents dormoshe.io/trending-news/ai…
AI Agent Governance vs IAM vs DLP vs API Gateways: What Each One Actually Covers

AI Agent Governance vs IAM vs DLP vs API Gateways: What Each One Actually Covers

Posted on May 25 • Originally published at jozu.com IAM, DLP, and API gateways are necessary parts of an organization's security stack. None of them governs AI agents. IAM...

dormoshe.io
1
5
I'm not an ML engineer. I built one anyway. #golang #dormosheio #machinelearning #linux #security dormoshe.io/trending-news/im…
I'm not an ML engineer. I built one anyway.

I'm not an ML engineer. I built one anyway.

Not because I wanted to — but because every tool I tried on ARM edge devices either needed the cloud, needed a GPU, or needed more RAM than the service it was supposed to be watching. So this post ...

dormoshe.io
33
From Govhack Win to Something That Actually Matters #machinelearning #ml #artificialintelligence #ai #dormosheio #devchallenge #githubchallenge dormoshe.io/trending-news/fr…
From Govhack Win to Something That Actually Matters

From Govhack Win to Something That Actually Matters

Project Haven is an AI-powered emergency response and disaster recovery platform built specifically for bushfire preparedness — helping people find safe evacuation points, receive real-time alerts,...

dormoshe.io
1
11
Build It, Then Use It: How I wrote 435 #AI engineering lessons from scratch #machinelearning #ml #artificialintelligence #dormosheio #opensource #agents dormoshe.io/trending-news/bu…
Build It, Then Use It: How I wrote 435 AI engineering lessons from scratch

Build It, Then Use It: How I wrote 435 AI engineering lessons from scratch

The first time I wrote a tokenizer, I did it with a for loop. I counted byte pairs by hand, merged the most common ones, and waited about forty seconds for it to chew through a small corpus. The ou...

dormoshe.io
12
Rethinking Open Source Contribution in the Age of #AI Agents, featuring #vLLM Core Maintainer Roger Wang at MLSys'26 #machinelearning #ml #artificialintelligence #dormosheio #vllm #opensource dormoshe.io/trending-news/re…
Rethinking Open Source Contribution in the Age of AI Agents, featuring vLLM Core Maintainer Roger...

Rethinking Open Source Contribution in the Age of AI Agents, featuring vLLM Core Maintainer Roger...

Roger is a software engineer focused on machine learning research and systems. He is a core maintainer of vLLM and the lead maintainer of vLLM-Omni, where he works on infrastructure for large multi...

dormoshe.io
1
52
Theta EdgeCloud Tests Prefill/Decode Disaggregation for Large-Scale LLM Serving #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/th…
Theta EdgeCloud Tests Prefill/Decode Disaggregation for Large-Scale LLM Serving

Theta EdgeCloud Tests Prefill/Decode Disaggregation for Large-Scale LLM Serving

The Theta EdgeCloud team has completed a benchmark testing a more efficient way to serve large language models in production. LLM inference involves two phases of work, namely prefill and decode, t...

dormoshe.io
1
1
17
Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/un…
Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models

Understanding Reinforcement Learning with Human Feedback Part 2: Aligning Pretrained Models

In the previous article, we explored the concept of pre-training and its limitations without a further step in the training process. In this article, we will explore how we can align a pretrained m...

dormoshe.io
13
I Asked 6 AIs to Pick a Random Number. Their Training Data Confessed Everything. #machinelearning #ml #artificialintelligence #ai #dormosheio #opensource #programming dormoshe.io/trending-news/i-…
I Asked 6 AIs to Pick a Random Number. Their Training Data Confessed Everything.

I Asked 6 AIs to Pick a Random Number. Their Training Data Confessed Everything.

You've seen the trend. Someone asks an AI:

dormoshe.io
8
Internal #Architecture of Neural Networks #machinelearning #ml #artificialintelligence #ai #dormosheio #deeplearning dormoshe.io/trending-news/in…
Internal Architecture of Neural Networks

Internal Architecture of Neural Networks

Hello, I'm Ganesh. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free, unlimited, and source-available on Github. Star git-lrc on GitHub to help more developers discove...

dormoshe.io
12
Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative, and Step Size #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/un…
Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative,...

Understanding Reinforcement Learning with Neural Networks Part 5: Connecting Reward, Derivative,...

In the previous article, we explored the reward system in reinforcement learning Next, we update the bias by subtracting the step size from the old bias value 0.0.

dormoshe.io
15
Load more