The extraction of critical information from crime-related documents is a crucial task for law enforcement agencies. Named-Entity Recognition (NER) can perform t...
Volume denoising is a foundational problem in computational imaging, as many 3D imaging inverse problems face high levels of measurement noise. Inspired by the ...
Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced the reasoning capabilities of Large Language Models (LLMs) by optimizing them a...
Scaling laws assume larger models trained on more data consistently outperform smaller ones -- an assumption that drives model selection in computer vision but ...
Large language models (LLMs) are increasingly proposed as agents in strategic decision environments, yet their behavior in structured geopolitical simulations r...
Modern language models reason within bounded context, an inherent constraint that poses a fundamental barrier to long-horizon reasoning. We identify recursion a...
Think-Answer reasoners such as DeepSeek-R1 have made notable progress by leveraging interpretable internal reasoning. However, despite the frequent presence of ...
Multimodal retrieval is the task of aggregating information from queries across heterogeneous modalities to retrieve desired targets. State-of-the-art multimoda...
Introduction Most “AI apps” today follow a simple pattern: Prompt → LLM → Text Response That’s not an agent—it’s just autocomplete with branding. A real AI age...
Abstract Humans shift between different personas depending on social context. Large Language Models LLMs demonstrate a similar flexibility in adopting differen...
Overview The customer service industry is in flux thanks to AI. Investors and corporate leaders have warned that the BPO Business Process Outsourcing sector co...
Access to frontier large language models (LLMs), such as GPT-5 and Gemini-2.5, is often hindered by high pricing, payment barriers, and regional restrictions. T...
Can LLM agents explore codebases and reason about code semantics without executing the code? We study this capability, which we call agentic code reasoning, and...
A year since the launch of the TDS Author Payment Programhttps://towardsdatascience.com/announcing-the-towards-data-science-author-payment-program/, we couldn’t...
We quantify, uniformly over time and with high probability, the discrepancy between the predictions of a two-layer neural network trained by stochastic gradient...
SEARCH SLOP BING CORRUPTION Bing's integration of AI-generated summaries floods search results with hallucinated facts, fabricated citations, and confidently i...
Claude, Anthropic's AI chatbot, is currently down, with the company confirming “elevated errors” on Monday. At 11:49 a.m. GMT 6:49 a.m. ET, Anthropic posted on...
!https://www.bleepstatic.com/content/hl-images/2026/02/13/ClaudeAI.png Claude appears to be having a major outage right now, with elevated errors reported acros...
Federated Learning (FL) faces major challenges in real-world deployments due to statistical heterogeneity across clients and system heterogeneity arising from r...
Embedding models are crucial to modern NLP. However, the creation of the most effective models relies on carefully constructed supervised finetuning data. For h...
Training tool-use agents typically relies on outcome-based filtering: Supervised Fine-Tuning (SFT) on successful trajectories and Reinforcement Learning (RL) on...
We introduce Legal RAG Bench, a benchmark and evaluation methodology for assessing the end-to-end performance of legal RAG systems. As a benchmark, Legal RAG Be...
Large language models (LLMs) have become an essential tool for natural language processing and artificial intelligence in general. Current open-source models ar...
A Structural Look at GPT vs. Claude Many users have recently noticed a shift in how AI models speak: - Everything turns into an explanation - Less ability to r...
While dense biomedical embeddings achieve strong performance, their black-box nature limits their utility in clinical decision-making. Recent question-based int...
Send to Gemini – Chrome Extension If you use Google Gemini daily, you’ve probably run into one or more of these pain points: - Manually copy‑pasting the same p...
Anthropic’s Free Curriculum & the Missing “Production‑Ready” Piece Anthropic just shipped a free curriculum covering Claude Code, MCP, and the API. It’s genuin...
Tool-using LLM agents face a reliability-cost tradeoff: routing every decision through the LLM improves correctness but incurs high latency and inference cost, ...
The Problem: Forgetful Interactions Imagine going to a brilliant doctor who has amnesia. Every visit you must explain everything from scratch—your history, sym...
Let’s be honest: we’ve all been there. You’re deep into a sprint, building a shiny new feature powered by a Large Language Model LLM. You feed it a complex prom...
Speculative Decoding (SD) has emerged as a premier technique for accelerating Large Language Model (LLM) inference by decoupling token generation into rapid dra...
!Cover image for A beginner's guide to the Flux-2-Klein-4b model by Black-Forest-Labs on Replicatehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=...
'markdown JAN. 29, 2026
!Subham kunduhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2...
Breaking Down the Walls The movement to democratize AI is about one simple idea: powerful technology shouldn't only belong to the powerful. Over the past few y...
In the previous article we went through the input gate; in this article we will explore the next component. Final Stage: Updating the Short-Term Memory This fin...
The Problem AI agents need access to secrets — API keys, passwords, credentials. Currently, most people either hard‑code .env files or pass secrets in plaintex...
Background Anthropic may have lost out on doing business with the U.S. governmenthttps://www.engadget.com/ai/trump-orders-federal-agencies-to-drop-anthropic-se...
!jg-noncelogichttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%...
Key Takeaway It’s not about replacing brokers — it’s about automating the ops layer that keeps margins. How consolidation happens AI eats repeatable, high‑fric...
The Impending Threat of AI‑Powered Wearables Most people don’t appreciate the profound threat that AI will soon pose to human agency. A common refrain is that...
Understanding AI alignment faking AI alignment occurs when an AI system performs exactly the function it was designed for—e.g., reading and summarizing documen...
Determining a winner among a set of items using active pairwise comparisons under a limited budget is a challenging problem in preference-based learning. The go...
What Is the Ad-Supported AI Chat Demo? This tool is a satirical but fully functional demonstration of what AI chat assistants could look like if they were mone...
'Cleaned Markdown
Decision Trees The unreasonable power of nested decision rules. By Jared Wilberhttps://twitter.com/jdwlbr & Lucía Santamaríahttps://twitter.com/lusantala Let's...
Article URL: https://claude.com/import-memory Comments URL: https://news.ycombinator.com/item?id=47204571 Points: 22 Comments: 8...
Bring your preferences and context to Claude Bring your preferences and context from other AI providers to Claude. With one copy‑paste, Claude updates its memo...
