Emergent Introspective Awareness in Large Language Models
An overview, summary, and position of cutting-edge research conducted on the emergent topic of LLM introspection on self internal states
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Finding Meaningful Work in the Age of Vibe Coding
Vibe coding has devalued coding. Is there any meaningful work still left for us?
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Pixi: A Smarter Way to Manage Python Environments
Pixi makes python environment management simple, consistent, and portable.
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3 things to know about Ironwood, our latest TPU
Google’s seventh-gen Tensor Processing Unit is here! Learn what makes Ironwood our most powerful and energy-efficient custom silicon to date.
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A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play
What a simple puzzle game reveals about experimentation, product thinking, and data science The post A Product Data Scientist’s Take on LinkedIn Games After 500 Days of Play appeared first on Towards Data Science.
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A greener way to 3D print stronger stuff
3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique that solidifies liquid resin into solid objects using ultraviolet lasers. Over the decades, 3D printers have evolved from experimental curiosities into tools capable of producing everything from custom prosthetics to complex food designs, architectural models, and even functioning human organs. But as the technology matures, its environmental footprint has become increasingly difficult to set aside. The vast majority […]
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Interview: From CUDA to Tile-Based Programming: NVIDIA’s Stephen Jones on Building the Future of AI
As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at NVIDIA and one of the original architects of CUDA. Jones, whose background spans from fluid mechanics to aerospace engineering, offered deep insights into NVIDIA’s latest software innovations, including the shift toward tile-based programming, the introduction of “Green Contexts,” and how AI is rewriting the rules […]
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Prompt Compression for LLM Generation Optimization and Cost Reduction
Large language models (LLMs) are mainly trained to generate text responses to user queries or prompts, with complex reasoning under the hood that not only involves language generation by predicting each next token in the output sequence, but also entails a deep understanding of the linguistic patterns surrounding the user input text.
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Fine-Tuning a BERT Model
This article is divided into two parts; they are: • Fine-tuning a BERT Model for GLUE Tasks • Fine-tuning a BERT Model for SQuAD Tasks GLUE is a benchmark for evaluating natural language understanding (NLU) tasks.
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Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
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