Remove writing llm-patterns
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Accumulation of cognitive debt when using an AI assistant for essay writing task

Hacker News

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity.

AI 140
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Run the Full DeepSeek-R1-0528 Model Locally

KDnuggets

Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Masters degree in technology management and a bachelors degree in telecommunication engineering.

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GPT 4.5: The New Addition to Open AI’s GPT Family

Data Science Dojo

The first big moment came with the launch of DeepSeek -V3, a highly advanced large language model (LLM) that made waves with its cutting-edge advancements in training optimization, achieving remarkable performance at a fraction of the cost of its competitors. Here, the LLM is trained on labeled data for specific tasks.

AI 304
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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Building high-quality agents was often too complex, for several reasons: Evaluation is difficult: Many enterprise AI tasks are difficult to evaluate, for both humans and even automated LLM judges. Academic benchmarks such as math exams did not translate to real-world use cases. With ALHF, we’ve solved this with two approaches.

Analytics 348
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What is AI thinking? Anthropic researchers are starting to figure it out

Flipboard

Researchers working in the AI safety subfield of mechanistic interpretability who spend their days studying the complex sequences of mathematical functions that lead to an LLM outputting its next word or pixel, are still playing catch-up. The good news is that theyre making real progress. the AI microscope) work.

AI 177
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Evaluating Long-Context Question & Answer Systems

Eugene Yan

eugeneyan Start Here Writing Speaking Prototyping About Evaluating Long-Context Question & Answer Systems [ llm eval survey ] · 28 min read While evaluating Q&A systems is straightforward with short paragraphs, complexity increases as documents grow larger. This is where LLM-evaluators (also called “LLM-as-Judge”) can help.

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7 steps to master large language models (LLMs) 

Data Science Dojo

Want to build a custom llm application? However, mastering LLMs requires a comprehensive understanding of their underlying principles, architectures, and training techniques. Step 2: Explore LLM architectures LLMs come in various architectures, each with its strengths and limitations.