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Scoured 289 posts in 13.2 ms

DiffusionGemma: 4x Faster Text Generation

 🤖LLM  Content type: News  Content type: Blog

What's in the Box? A Field Guide to AI Models

 🦙Ollama  Content type: Blog
iankduncan.com·

Issue #390 - The ML Engineer 🤖

 🤖LLM  Content type: News  Content type: Blog

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

 💬Prompt Engineering  Content type: News

Alleged Fable sabotage of an ML project

 ⚙️LLM Fine-tuning
xcancel.com··Hacker News

Intro — Sehastrajit

 Gemini  Content type: Blog
medium.com·

Evaluating and developing machine learning models: äN introduction (gpn24)

 💬Prompt Engineering
cdn.media.ccc.de·

Microsoft just shared the frontier data engineering secrets

 🤖Agentic AI
mail.bycloud.ai·

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

 🤖AI skills  Content type: Blog
aws.amazon.com·

Asynchronous AI cuts computing energy by orders of magnitude while learning continuously

 🤖Agentic AI
techxplore.com·

Malicious Hugging Face Models Could Trigger Remote Code Execution

 🤖Transformers
techrepublic.com·

Google's new open model DiffusionGemma generates text from noise instead of word by word

 🤖LLM
the-decoder.com
·

macrodata-labs/refiner: Refiner by Macrodata Labs, a data processing framework for Machine Learning large scale datasets

 🦙Ollama  Content type: Code
github.com··r/LocalLLaMA

Sequent: scale and automation for higher confidence in alignment

 ⚙️LLM Fine-tuning
lesswrong.com·

New comment by Revanthkodati in "Ask HN: Who wants to be hired? (June 2026)"

 🤖Claude

Running LLM Inference on Kubernetes: What It Actually Takes

 🤖LLM  Content type: Blog
fairwinds.com·

Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark

 Gemini
venturebeat.com·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🎨Diffusion Models  Content type: News  Content type: Blog

Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM

 🦙Ollama

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching

 🤖Transformers  Content type: Academic
arxiv.org·

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