Personalized recommendations have become a vital component of many digital systems, aiming to surface content, products, or services that align with user preferences. The process relies on analyzing past behavior, interactions, and…
Category: AI
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You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How
The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits…
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o1 Style Thinking with Chain-of-Thought Reasoning using Mirascope
In this tutorial, we’ll explore how to implement Chain-of-Thought (CoT) reasoning using the Mirascope library and Groq’s LLaMA 3 model. Rather than having the model jump straight to an answer, CoT reasoning encourages it to…
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EG-CFG: Enhancing Code Generation with Real-Time Execution Feedback
LLMs have made impressive strides in generating code for various programming tasks. However, they mostly rely on recognizing patterns from static code examples rather than understanding how the code behaves during execution. This…
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AegisLLM: Scaling LLM Security Through Adaptive Multi-Agent Systems at Inference Time
The Growing Threat Landscape for LLMs
LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to adapt defense mechanisms that move beyond static…
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From Linear Regression to XGBoost: A Side-by-Side Performance Comparison
Regression is undoubtedly one of the most mainstream tasks machine learning models can address.
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OpenAI Introduces ChatGPT Agent: From Research to Real-World Automation
On July 17, 2025, OpenAI launched ChatGPT Agent, transforming ChatGPT from a conversational assistant into a unified AI agent capable of autonomously executing complex, multi‑step tasks—from web browsing to code…
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Model predicts long-term effects of nuclear waste on underground disposal systems | MIT News
As countries across the world experience a resurgence in nuclear energy projects, the questions of where and how to dispose of nuclear waste remain as politically fraught as ever. The United States, for instance, has…
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GLM-4.1V-Thinking: Advancing General-Purpose Multimodal Understanding and Reasoning
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The complexity of multimodal intelligence tasks has grown, ranging from scientific…
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Mirage: Multimodal Reasoning in VLMs Without Rendering Images
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that require visual thinking, such as spatial puzzles. People naturally visualize…
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