The “Super Weight:” How Even a Single Parameter can Determine a Large Language Model’s Behavior

A recent paper from Apple researchers, “The Super Weight in Large Language Models,” reveals that an extremely small subset of parameters in LLMs (in some cases, a single parameter) can exert a disproportionate influence on an LLM’s overall functionality (see Figure 1). This work highlights the critical role of these “super weights” and their corresponding …

1BJXX3eAr6Lp4MIFozYY88A

About Palantir

Answers to Frequently Asked Questions About Palantir We have received many questions about Palantir. Given the high interest in our company, we collected the questions we receive most often and use this blog post to answer them. What does Palantir do? Palantir Technologies is a software company that provides data operations and AI infrastructure platforms as well as …

From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix

By Dao Mi, Pablo Delgado, Ryan Berti, Amanuel Kahsay, Obi-Ike Nwoke, Christopher Thrailkill, and Patricio Garza At Netflix, data engineering has always been a critical function to enable the business’s ability to understand content, power recommendations, and drive business decisions. Traditionally, the function centered on building robust tables and pipelines to capture facts, derive metrics, and …

ML 1609 1

Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes

This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post, …

image1 LrbXXzcmax 1000x1000 1

Intelligent code conversion: Databricks Spark SQL to BigQuery SQL via Gemini

As data platforms evolve and businesses diversify their cloud ecosystems, the need to migrate SQL workloads between engines is becoming increasingly common. Recently, I had the opportunity to work on translating a set of Databricks SQL queries to BigQuery SQL — a task that is deceptively complex due to differences in syntax, functions, and execution …

Qwen-Image-Edit LoRA training is here + we just dropped our first trained model

Hey everyone! 👋 We just shipped something we’ve been cooking up for a while – full LoRA training support for Qwen-Image-Edit, plus our first trained model is now live on Hugging Face! What’s new: ✅ Complete training pipeline for Qwen-Image-Edit LoRA adapters ✅ Open-source trainer with easy YAML configs ✅ First trained model: Inscene LoRA …

ML 19120 1

Create personalized products and marketing campaigns using Amazon Nova in Amazon Bedrock

This post was written with Jake Friedman from Wildlife. Businesses are seeking innovative ways to differentiate themselves through hyper-personalization and enhanced customer experiences. At the Cannes Lions International Festival of Creativity 2025, AWS showcased The Fragrance Lab, an interactive and inspiring experience that demonstrates how generative AI can support the development of hyper-personalized consumer goods …

1 Mnujh1Jmax 1000x1000 1

Here’s which Google AI developer tool to use for each situation

Do you remember packing for an extended trip twenty years ago? We had to load up a camera, a day planner, a pile of books, a handheld gaming device, a map-stuffed tourist guide, a phone, a CD player, and maybe some cashier’s checks. Now? Just remember your smartphone!  This is an example of consolidation, but …