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The xAI lawsuit claims that Grok’s ranking below ChatGPT is a sign of allegedly monopolistic behavior.
Matt Garman’s statement that firing junior developers because AI can do their work is the “dumbest thing I’ve ever heard” has almost achieved meme status. I’ve seen it quoted everywhere. We agree. It’s a point we’ve made many times over the past few years. If we eliminate junior developers, where will the seniors come from? […]
This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world dataset to show how both generator and LLM-judge prompts can be developed in a systematic fashion […]
The post Systematic LLM Prompt Engineering Using DSPy Optimization appeared first on Towards Data Science.
New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.
Learn more about updates to NotebookLM’s Audio and Video Overview tools.
The most optimized way to run the GPT-OSS 20B model on RTX 3090 with llama.cpp and Open WebUI Python servers.
When you have a small dataset, choosing the right machine learning model can make a big difference.
Transform your data workflows with this comprehensive guide to building enterprise-grade automation pipelines using n8n's visual workflow platform.
Perhaps one of the most underrated yet powerful features that scikit-learn has to offer, pipelines are a great ally for building effective and modular machine learning workflows.
The following is Part 3 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here and Part 2 here. Context engineering is crucial, but it’s just one component of a larger stack needed to build full-fledged LLM applications—alongside things like control flow, model orchestration, tool integration, […]
Scamlexity strikes, Grok 2.5 open, AI dogs deliver, AI guardrails, AGI talk, and more...
The tool models the sun using AI, and its developers say it can anticipate solar flares 16 percent more accurately and in half the time of current prediction systems.
One of the most impactful applications of MCP is its ability to connect AI coding assistants directly to developer tools.
Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.
Amazon and AGI, GPT-6, OpenAI warning, AI survival skills, type 4× faster, robots rock, and more...
Researchers discovered that bees use flight movements to sharpen brain signals, enabling them to recognize patterns with remarkable accuracy. A digital model of their brain shows that this movement-based perception could revolutionize AI and robotics by emphasizing efficiency over massive computing power.
AI is brilliant at polishing and rephrasing. But like a child with glitter glue, you still need to supervise it.
Siri + Gemini, AI time machine, Meta + Midjourney, AI sips water, and more...
The open source framework provides the data and training recipe for building powerful computer-use agents that challenge proprietary systems.
Details are scarce. And what does the Meta partnership mean for Midjourney's previously announced plans for an enterprise API?
On the surface, Google's numbers sound reassuringly small, but the more closely you look, the more complicated the story becomes.
The post Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? appeared first on Towards Data Science.
The $8.9 billion investment gives the US government a roughly 10 percent equity stake in Intel.
A new benchmark from Salesforce research evaluates model and agentic performance on real-life enterprise tasks.
Learn how to optimize your ML models for better results
The post Three Essential Hyperparameter Tuning Techniques for Better Machine Learning Models appeared first on Towards Data Science.
Remarks from Ruth Porat, President and Chief Investment Officer, Alphabet and Google at the Jackson Hole Economic Symposium.
Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In this post, we explore how you can integrate existing systems with Amazon Bedrock to create new workflows to unlock efficiencies insights. This integration can benefit technical, nontechnical, and leadership roles alike.
As the model landscape expands, organizations face complex scenarios when selecting the right foundation model for their applications. In this blog post we present a systematic evaluation methodology for Amazon Bedrock users, combining theoretical frameworks with practical implementation strategies that empower data scientists and machine learning (ML) engineers to make optimal model selections.
In this post, we introduce our open source GenAI IDP Accelerator—a tested solution that we use to help customers across industries address their document processing challenges. Automated document processing workflows accurately extract structured information from documents, reducing manual effort. We will show you how this ready-to-deploy solution can help you build those workflows with generative AI on AWS in days instead of months.
In this post, we introduced three features in SageMaker HyperPod that enhance scalability and customizability for ML infrastructure. Continuous provisioning offers flexible resource provisioning to help you start training and deploying your models faster and manage your cluster more efficiently. With custom AMIs, you can align your ML environments with organizational security standards and software requirements.
Learn why autoregressive flows are the superior density estimation tool for high-dimensional data
The post Cracking the Density Code: Why MAF Flows Where KDE Stalls appeared first on Towards Data Science.