Ollayaのlayaとwinnowを日本語常識問題で検証してみた ― Questions設計で結果はどう変わる?

Малые языковые модели: почему компактность выгоднее масштаба
Выбор между мощными LLM и компактными SLM зависит не только от производительности, но и от стоимости владения, специфики задач и архитектуры данных.
Un nuevo episodio de 'Código abierto' en que dialogo con @adefuros.bsky.social sobre el lanzamiento de #Jev por TypeSafeAI y sus implicaciones: "El if después del LLM" open.spotify.com/episode/30ig... #Jev #LLM #LargeLanguageModels #SLM #SmallLanguageModels #Harness
#SLM #Balticbattle #Stockholm Då var det dags igen för årets bästa event!😛
#AI models change too fast for permanent choices. Adopt now, but keep every decision reversible in architecture and #procurement contracts. #SLM procurementtidbits.substack.com/p/the-ai-mod...
#Perplexity released 2 sizes of #Embedding #models: 0.6B & 9B. Text or Image. #OpenSource #MIT lic. Interestingly they operate in the same latent space: embed with 9B, retrieve with 0.6B. Late interaction #ColBERT, 128 dimensions.
#SLM vs. #LLM is the wrong question. Routing tasks to the right model cuts #AI costs, and #procurement should keep every choice reversible in stack and contracts.
https://procurementtidbits.substack.com/p/the-ai-model-you-buy-today-wont-be
New arXiv paper benchmarks small open-weight models like Qwen3 0.6B–8B on four agent-harness microtasks (e.g. approving shell commands, ranking turns) using a CI-aware eligibility rule, and finds 0 of 16 configurations pass their thresholds…
Ollamaじゃない? OllayaのDecision ModelをAWS認定試験で評価してみた
Further signs that the state of the art is moving towards a Mixture of Models architecture. These guys have some small models which can run directly on an edge device (laptop, phone, etc.). Freemium licensing.
Smaller model + relevant knowledge = Context-aware AI.
RAG finds it. SLM puts it to work.
Read about it in our blog: zurl.co/ADPdG
AI pilots can work and still fail at scale.
Read our blog: zurl.co/CRHpe
SLMs for routine work. Frontier models for complex reasoning.
The SLM Revolution: Taking a Look at Why Fit Beats Force
For the last few years, AI engineering has operated under a surprisingly simple assumption: Bigger models are better models.
#hackernews #news #slm
The SLM Revolution: Taking a Look at Why Fit Beats Force
For the last few years, AI engineering has operated under a surprisingly simple assumption: Bigger models are better models.
Революция SLM: взгляд на то, почему подгонка лучше силы
В последние несколько лет разработка ИИ основывалась на удивительно простом предположении: большие модели — лучшие модели.