Large Language Models

BERT Nedir? Temel Kavramlar ve Tarihçe BERT (Bidirectional Encoder Representations from...

Why MCP (Model Context Protocol) is the "USB-C for AI" in 2026 In 2026, the Model Context...

The first generation of AI live commerce ran scripted loops -- the avatar talked, viewers watched....

Understanding AI can feel confusing. Where does Deep Learning fit? Is it the same as Machine...

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the...

Stop Writing SQL Just to Check Your Own Database There's a moment every backend developer...

2026年MCP协议生态现状与Nautilus平台接入机会 摘要 Model Context Protocol (MCP) 已从 Anthropic...

AI Prompt Optimizer API Analyze prompts for token efficiency, clarity, and effectiveness....

Every group chat has the same cast of characters. The guy who hypes everything. The one who roasts...

GLM-5 is an MIT-licensed frontier model with top-5 benchmark scores. Learn how to self-host it and compare it with GPT-5 and Claude.

Agent harnesses are becoming the dominant way to build agents, and they are not going anywhere. These harnesses are intimately tied to agent memory. If you used

I built this fun benchmark to pitch LLM models against each other in Oxford-style debate. The format is inspired by Intelligence Squared. The side who flips mos

When Meta announced Muse Spark today—their first major model release since Llama 4 nearly a year ago—the benchmarks got most of the attention. But the real stor

In short: Meta has released Muse Spark, the first model from Meta Superintelligence Labs, the unit it assembled under Alexandr Wang after spending $14.3 billion

Muse Spark is Meta’s first model since its AI reboot, and the benchmarks suggest formidable performance.

Researchers improved AI models by “instruction finetuning” them on 1,800+ tasks and adding chain-of-thought reasoning data. The result: Flan-PaLM significantly

Researchers found that giving AI examples that include step-by-step reasoning (“chain-of-thought”) dramatically improves its ability to solve complex problems.

Your Psychiatrist Might Be a Chatbot Now Utah just gave an AI chatbot the green light to renew psychiatric prescriptions. No doctor in the loop. No second opini

Direct Preference Optimization (DPO) offers a simpler, more stable alternative to traditional RLHF for aligning large language models with human preferences. By

Turn an aging laptop into a private AI workspace with Ollama and OpenCode for local coding, testing, and experimentation.

We evolved for a linear world. If you walk for an hour, you cover a certain distance. Walk for two hours and you cover double that distance. This intuition serv

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Meta Superintelligence Labs is launching its first model since Mark Zuckerberg spent billions overhauling the company's AI efforts. Called Muse Spark, the model

A clear mental model and a practical foundation you can build on The post Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases appeared f

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF delivers shorter reasoning chains and 96.91% HumanEval pass@1.

Daily deep dive into Intel — covering Gaudi, AI accelerators, OpenVINO, Habana Lab

QIS (Quadratic Intelligence Swarm) is a decentralized intelligence architecture discovered by Christopher Thomas Trevethan on June 16, 2025. Intelligence scales

The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligen

After Anthropic refused Pentagon demands to enable autonomous weapons and mass surveillance, the U.S. government did something unprecedented: it branded an Amer

The case for AI prescription renewals is real. So is the case against trusting a state sandbox to catch the risks. In January, a security research firm called M

arXiv:2604.04937v1 Announce Type: new Abstract: Large language models produce fluent text but struggle with systematic reasoning, often hallucinating confident

arXiv:2604.04938v1 Announce Type: new Abstract: Metacognition, understood as the monitoring and regulation of one's own cognitive processes, is inherently seque

arXiv:2604.04940v1 Announce Type: new Abstract: Designing effective heuristics for NP-hard combinatorial optimization problems remains a challenging and experti

arXiv:2604.05018v1 Announce Type: new Abstract: Synthesizing unstructured research materials into manuscripts is an essential yet under-explored challenge in AI

arXiv:2604.05075v1 Announce Type: new Abstract: Multi-objective retrosynthesis planning is a critical chemistry task requiring dynamic balancing of quality, saf

arXiv:2604.05081v1 Announce Type: new Abstract: We introduce MedGemma 1.5 4B, the latest model in the MedGemma collection. MedGemma 1.5 expands on MedGemma 1 by

arXiv:2604.05116v1 Announce Type: new Abstract: Clinical diagnosis requires sequential evidence acquisition under uncertainty. However, most Large Language Mode

arXiv:2604.05142v1 Announce Type: new Abstract: As artificial intelligence systems (AIs) become increasingly produced by recursive self-improvement, a form of e

arXiv:2604.05168v1 Announce Type: new Abstract: Leadership-class HPC systems generate massive volumes of heterogeneous, largely unstructured system logs. Becaus

arXiv:2604.05172v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly deployed to automate productivity tasks (e.g., email, schedul

arXiv:2604.05224v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critica

arXiv:2604.05279v1 Announce Type: new Abstract: Large language models exhibit sycophancy, the tendency to shift their stated positions toward perceived user pre

arXiv:2604.05336v1 Announce Type: new Abstract: Large Language Models (LLMs) deployed in agentic environments must exercise multiple capabilities across differe

arXiv:2604.05345v1 Announce Type: new Abstract: In today's artificial intelligence driven world, modern systems communicate with people from diverse backgrounds

arXiv:2604.05348v1 Announce Type: new Abstract: Hallucinations in medical large language models (LLMs) remain a safety-critical issue, particularly when availab

arXiv:2604.05355v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning improves large language model performance on complex tasks, but often produces

arXiv:2604.05358v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) mitigates hallucination but does not eliminate it: a deployed system must s

arXiv:2604.05371v1 Announce Type: new Abstract: The deployment of lightweight segmentation models on drones for autonomous power line inspection presents a crit