---
title: 'Entity: LLM'
canonical_url: https://portal.chinng-lab-srv.dev/entities/llm.md
content_kind: entity
updated_at: '2026-08-02T12:00:33Z'
---

# Entity: LLM

> Stable entity monitoring page generated from normalized published metadata.

- Canonical: https://portal.chinng-lab-srv.dev/entities/llm.md
- Last updated: 2026-08-02T12:00:33Z
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## Related categories

- news/general
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## Latest articles

- [Sample More, Reflect Less: Self-Refine and Reflexion Lose to Repeated Sampling at Equal Token Cost, from 1.5B to 7B](https://portal.chinng-lab-srv.dev/news/general/news-20260802-6bbb70.md): A study that examines the efficiency of the reasoning strategy in the local reasoning environment. Comparison of self-improving methods such as Self-Re、 and Reflexion and simple repeating methods und…
- [When to Stop Thinking：訓練不要の信頼度ベース早期終了によるLLM推論効率化](https://portal.chinng-lab-srv.dev/news/general/news-20260801-28b24a.md): EXPLANATION OF EARLY TERMINATION METHOD BASED ON TRUST IN EFFICIENCY OF LLM INFERENCE. BY DETERMINING THE OUTPUT WHEN THE INTERNAL RELIABILITY OF THE MODEL EXCEEDS A CERTAIN THRESHOLD, IT IS POSSIBLE…
- [従来の4分の1で賢い！AIエージェントに最適なLLM「Inkling-Small」無償公開](https://portal.chinng-lab-srv.dev/news/general/news-20260731-aa4ea9.md)
- [Kernel Forge: An Agent Harness for LLM-based Generation and Optimization of CUDA Kernels](https://portal.chinng-lab-srv.dev/news/general/news-20260731-6be5be.md): Nel Kernel Forge, an automatic optimization framework for CUDA kernels using LLM. A module-typeモジュール that translates from high-level functional descriptions to low-level implementations. It integrate…
- [AIエージェント用LLM Wikiを4か月運用した結果：エージェントは局所ルールを守れるが、大域的な一貫性は保てない](https://portal.chinng-lab-srv.dev/news/tech/news-20260731-2eb85b.md): Report the 4 months operation result of the LLM Wiki for AI agents operating on home servers. As a result ofページumulation of 1,179 pages and about 980 cases, the agent can observe the local rules that…
- [エージェント・ループはいつ停滞を進歩と誤認するのか？長期実行自律LLMエージェント・ループにおける自己評価バイアスと外部 grounding の検証](https://portal.chinng-lab-srv.dev/news/tech/news-20260730-8d753a.md): Autonomous AI agent that runs long-term is likely to cause a “Ghost of Prog ” phenomenon in which internal self-evaluation diverges from external reality and misrepresents進歩gnation. This is an experi…
- [Codifying the Judge: Programmatic Distillation of LLM Evaluators](https://portal.chinng-lab-srv.dev/news/general/news-20260729-505933.md): "Programmatic Distillation" is a method to distill the judge system to an interpretable and executable program. Resolve cost, delay, and再現roducibility issues of LLM Judge to reduce thrust costs by mo…
- [The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents](https://portal.chinng-lab-srv.dev/news/general/news-20260728-1121e9.md): A STUDY SHOWING THAT INCORPORATING SKILLS INTO A LLM AGENT DOES NOT NECESSARILY IMPROVE PERFORMANCE ON ALL TASKS. WE PROPOSE A NEW FRAMEWORK THAT DECOMPOSES THE EFFECT WITH TWO NEW FUNCTIONS: GAIN AN…
- [Claude Opus 5の強化点を徹底解説——Fable 5級の知能を半額で](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-6535bc.md): Anthropic Announces New Model "Claude Opus 5" on July 24 The price is half of the input $5/out $25. Automatic self-validation and sub-agent delegation significantly improves autonomy, coding and prof…
- [Fable 5に迫る性能、価格は半額　「Claude Opus 5」公開](https://portal.chinng-lab-srv.dev/news/general/news-20260725-4d3eed.md)
- [Canadian legislator reads out apparent LLM response in floor speech](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-ff43f2.md)
- [Claude Opus 5 Benchmarks Explained](https://portal.chinng-lab-srv.dev/news/general/news-20260725-fb52bb.md)
- [「Fable 5級を半額で」Claude Opus 5登場。Proでも最強モデルに](https://portal.chinng-lab-srv.dev/news/general/news-20260725-9ef431.md)
- [Anthropic's new AI model rivals Fable 5 and is cheaper as businesses fret about costs](https://portal.chinng-lab-srv.dev/news/general/news-20260725-f045e3.md)
- [Claude Opus 5 review: this model is brilliant (but annoying)](https://portal.chinng-lab-srv.dev/news/general/news-20260725-9a4c68.md)
- [Claude Opus](https://portal.chinng-lab-srv.dev/news/general/news-20260725-2f9466.md)
- [ローカルLLM環境の進化：分散推論と軽量モデルの現在地](https://portal.chinng-lab-srv.dev/news/tech/news-20260721-2c7b83.md): The local LLM environment is dramatically e through the maturity of the lightweight model of 3B to 8B parameters and the dispersion reasoning technology such as Petals and Moose. Theモデルntum technolog…
- [ToolVerse](https://portal.chinng-lab-srv.dev/news/tech/news-20260721-b1d84e.md): In order to enhance LLM reasoning, we will introduce the design concept "Tool。se" that integrates tool utilization and knowledge graph. By structuring individual tools with node edges, you can visual…
- [大規模言語モデル基盤エージェントの評価に関する総説](https://portal.chinng-lab-srv.dev/news/science/news-20260716-0837e8.md): THE GENERAL THEORY OF AGENT EVALUATION METHOD WITH LLM. WE ORGANIZE COMPLEX EVALUATIONS OF AGENTS THAT CANNOT BE CAPTURED BY CONVENTIONAL TASK INDICATORS WITH FIVE AXIS OF EXECUTABILITY, DECISION MAK…
- [アイデアにもゲノムがある：AIは科学の系譜を理解できるか？——IdeaGene-Benchが暴くLLMの創造性の限界](https://portal.chinng-lab-srv.dev/news/science/news-20260713-151524.md): IdeaGene-Bench Decompose the idea of scientific papers to the minimum unit as "Idea Genome", and visualize the genealogy with six evolution dynamics such as inheritance, mu。, and external import. IG-…
- [LLMは何を考えているのか？ アンソロピックが見つけた「隠れた領域」](https://portal.chinng-lab-srv.dev/news/tech/news-20260712-fed748.md)
- [LLMを自宅で爆速化：訓練不要の緩和的投機的デコーディング最新事情](https://portal.chinng-lab-srv.dev/news/tech/news-20260712-0670d6.md): TECHNICAL COMMENTARY FOCUSING ON LLM INFERENCE OPTIMIZATION AT HOME GPU. THE機ULATIVE DECODING IS A METHOD IN WHICH A LIGHTWEIGHT DRAFTER PRE-GENERATES CANDIDATES AND CONFIRMS THE INTEGRITY OF THE DIS…
- [「The Illusion of Equivalency」が暴く量子化の幻想：LLMの挙動変化を統計的に評価する](https://portal.chinng-lab-srv.dev/news/science/news-20260712-31ac08.md): This paper proposes a method to動ntitatively evaluate behavioral changes occurring at low-bit子ntization of LLM (large-scale language model) using the new indicator "Correctness Agreement" as well as t…
- [Mesh LLM: distributed AI computing on iroh](https://portal.chinng-lab-srv.dev/news/tech/news-20260712-0cb2a7.md)
- [2026年夏、LLM戦線に三つの新星——Claude Sonnet 5・Tencent Hy3正式版・Sakana Fugu Ultraを徹底比較](https://portal.chinng-lab-srv.dev/news/tech/news-20260707-d982c8.md): Three new models appeared in the LLM market in summer 2026. Anthropic’s Claude Sonnet 5 delivers Opus-class agent performance at an affordable price, and Tencent’s Hy3 official version offers a thoro…
- [Agentic Skill Discovery — 対話を通じてテザイリ有用な、スキルを、学習するLLMエージェント](https://portal.chinng-lab-srv.dev/news/tech/news-20260704-e15e6b.md): Agentic、アプローチ is an approach to dynamically recognize and master the skills required for task execution through dialogue and experiment.対話 conventional fine tuning (parameter learning before deployme…
- [TOON vs JSON：LLM 時代の新フォーマットはJSONを置き換えるのか？](https://portal.chinng-lab-srv.dev/news/tech/news-20260716-8d73a2.md)
- [［今週のリリース情報］LLMによる情報抽出を学べる実践書が登場。「具体と抽象」でシステム開発の本質をひも解く一冊やGoogle AI活用書，Studio・シェルスクリプトの入門書など新刊が発売 | Gihyo Digital Publishing … 技術評論社の電子書籍](https://portal.chinng-lab-srv.dev/news/general/news-20260802-f29ab6.md)
- [LLM Leaderboard 2026: Compare 300+ Top AI Models by Intelligence, Speed ...](https://portal.chinng-lab-srv.dev/news/general/news-20260729-bb7834.md)
- [Anthropic New Claude Opus 5 Nearly Matches Flagship Fable 5 at Half the Price](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-e7b480.md)
- [Claude Opus 5 Benchmarks for AI Code Review | CodeRabbit](https://portal.chinng-lab-srv.dev/news/general/news-20260725-de93ca.md)
- [Claude Opus 5: Benchmarks, System Card & Review (July 2026)](https://portal.chinng-lab-srv.dev/news/general/news-20260725-c50f3e.md)
- [Introducing Claude Opus 5](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-c34a32.md)
- [Claude Opus 5が登場、Fable 5の半額で同等性能を発揮し制限緩め](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-72a0e0.md)
- [Anthropic launches Opus 5](https://portal.chinng-lab-srv.dev/news/tech/news-20260725-268645.md)
- [LLM Stats: AI Trends July 2026](https://portal.chinng-lab-srv.dev/news/tech/news-20260718-7c60ad.md)
- [2026年の自己ホストLLM導入ガイド - DataNorth AI](https://portal.chinng-lab-srv.dev/news/general/news-20260714-897b06.md)
