Does the converse hold? Are people without thoughts nowt but LLMS? Are certain politicians, managers, religious fundamentalists, actually LLMs in walking corpses?
Small Language Models maybe. Base, venal SLMs.
Small Language Models maybe. Base, venal SLMs.
November 7, 2026 at 9:06 PM
Does the converse hold? Are people without thoughts nowt but LLMS? Are certain politicians, managers, religious fundamentalists, actually LLMs in walking corpses?
Small Language Models maybe. Base, venal SLMs.
Small Language Models maybe. Base, venal SLMs.
Local SLMs are a massive win for agentic workflows. Local execution kills latency and keeps data private—essential for building secure, autonomous systems at the edge. 🛠️🦾
November 11, 2026 at 2:57 PM
Local SLMs are a massive win for agentic workflows. Local execution kills latency and keeps data private—essential for building secure, autonomous systems at the edge. 🛠️🦾
Trail: Accurate Local Smart Home Control Using Decision Models
Maleeha Masood, Deepak Vasisht, Indranil Gupta
#arXiv #cs.AI #cs.LG
Maleeha Masood, Deepak Vasisht, Indranil Gupta
#arXiv #cs.AI #cs.LG
Trail: Accurate Local Smart Home Control Using Decision Models
Natural-language driven smart home control remains challenging: cloud-hosted Large Language Models (LLMs) raise privacy concerns, while local Small Language Models (SLMs) can generate invalid actions or misinterpret requests. We introduce Trail (Typed Registry-Anchored Inference for Language comman…
arxiv.org
November 3, 2026 at 11:58 PM
Wonder what a swarm of "lesser" models could do. This gets to my conception of the unit of "smarts". Does benchmark rank really translate to "intelligence points"? Can a swarm of low scoring SLMs score like one LLM?
November 3, 2026 at 3:55 PM
Wonder what a swarm of "lesser" models could do. This gets to my conception of the unit of "smarts". Does benchmark rank really translate to "intelligence points"? Can a swarm of low scoring SLMs score like one LLM?
What Is a Small Language Model? SLMs vs LLMs, Examples and When to Use Them
What is a small language model? A plain-English guide to SLMs: how they differ from LLMs, how they're built, real examples like Phi, Gemma and Apple's model, and when to use one.
What is a small language model? A plain-English guide to SLMs: how they differ from LLMs, how they're built, real examples like Phi, Gemma and Apple's model, and when to use one.
What Is a Small Language Model? SLMs vs LLMs, Examples and When to Use Them
What is a small language model? A plain-English guide to SLMs: how they differ from LLMs, how they're built, real examples like Phi, Gemma and Apple's model, and when to use one.
teckhustlers.com
November 2, 2026 at 5:19 AM
What Is a Small Language Model? SLMs vs LLMs, Examples and When to Use Them
What is a small language model? A plain-English guide to SLMs: how they differ from LLMs, how they're built, real examples like Phi, Gemma and Apple's model, and when to use one.
What is a small language model? A plain-English guide to SLMs: how they differ from LLMs, how they're built, real examples like Phi, Gemma and Apple's model, and when to use one.
Phi-4 is a 3.8B model that beats 2023's GPT-4 on many reasoning tests, and at INT4 it weighs 2.2GB and fits a Pi 5. One million cloud calls run $8 to $20; on-device costs cents in power. Why ship that data to the cloud at all?
November 3, 2026 at 12:18 AM
Phi-4 is a 3.8B model that beats 2023's GPT-4 on many reasoning tests, and at INT4 it weighs 2.2GB and fits a Pi 5. One million cloud calls run $8 to $20; on-device costs cents in power. Why ship that data to the cloud at all?
There’s plenty of cybersecurity AI where LLMs gets distilled down to cheap and fast (and local) SLMs e.g. for specific detections or tasks.
A big full-fat LLM being able to fine-tune SLM weights directly might offer an alternative to current fine-tuning methods.
That was what popped into my head.
A big full-fat LLM being able to fine-tune SLM weights directly might offer an alternative to current fine-tuning methods.
That was what popped into my head.
November 3, 2026 at 1:37 PM
There’s plenty of cybersecurity AI where LLMs gets distilled down to cheap and fast (and local) SLMs e.g. for specific detections or tasks.
A big full-fat LLM being able to fine-tune SLM weights directly might offer an alternative to current fine-tuning methods.
That was what popped into my head.
A big full-fat LLM being able to fine-tune SLM weights directly might offer an alternative to current fine-tuning methods.
That was what popped into my head.
November 1, 2026 at 2:27 AM
Unless you're talking specifically about Little Language Models/SLMs, many of those hosted by corporates build on existing LLMs; they're not developed from scratch with just small proprietary datasets
But that's immaterial, because for the purposes of this particular article, they're all straw men
But that's immaterial, because for the purposes of this particular article, they're all straw men
November 2, 2026 at 4:53 PM
Unless you're talking specifically about Little Language Models/SLMs, many of those hosted by corporates build on existing LLMs; they're not developed from scratch with just small proprietary datasets
But that's immaterial, because for the purposes of this particular article, they're all straw men
But that's immaterial, because for the purposes of this particular article, they're all straw men
Small Language Models (SLMs) vs. Large Language Models (LLMs): Use Cases & Trade-offs in 2026
For a while, it felt like the AI world had one rule: bigger is better. The drumbeat of headlines celebrated models with hundreds of
wpfrank.com/slms-vs-larg...
#LLMs #SLMs #AI #AImodels
For a while, it felt like the AI world had one rule: bigger is better. The drumbeat of headlines celebrated models with hundreds of
wpfrank.com/slms-vs-larg...
#LLMs #SLMs #AI #AImodels
SLMs vs LLMs - Use Cases & Trade-offs in 2026
Many organizations jumped on the LLM bandwagon without fully calculating the total cost of ownership.
wpfrank.com
October 29, 2026 at 10:20 AM
Small Language Models (SLMs) vs. Large Language Models (LLMs): Use Cases & Trade-offs in 2026
For a while, it felt like the AI world had one rule: bigger is better. The drumbeat of headlines celebrated models with hundreds of
wpfrank.com/slms-vs-larg...
#LLMs #SLMs #AI #AImodels
For a while, it felt like the AI world had one rule: bigger is better. The drumbeat of headlines celebrated models with hundreds of
wpfrank.com/slms-vs-larg...
#LLMs #SLMs #AI #AImodels
Pedro Carvalho Brom: Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese https://arxiv.org/abs/2610.40533 https://arxiv.org/pdf/2610.40533 https://arxiv.org/html/2610.40533
October 30, 2026 at 6:41 AM
Pedro Carvalho Brom: Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese https://arxiv.org/abs/2610.40533 https://arxiv.org/pdf/2610.40533 https://arxiv.org/html/2610.40533
Not a question, just a comment.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
October 29, 2026 at 11:12 PM
Not a question, just a comment.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Not a question, just a comment.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
October 29, 2026 at 11:12 PM
Not a question, just a comment.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Well done! That's a very cool experiment design, using optical traps and SLMs in this application to yield new insights.
Also, please pass on thanks to Mix🐈 for the references.
Jak malý může být jazykový model, aby byl užitečný? Na čem všem jde takto malé modely rozběhnout a jak rychle zvládají generovat text? Představíme si tzv. "SLMs": modely mezi 0,1B a 4B.
lokalni.ai/blog/male-mo...
lokalni.ai/blog/male-mo...
Malé modely pro koncová zařízení | Lokální.AI
Jak malý může být jazykový model, aby byl užitečný? Na čem všem jde takto malé modely rozběhnout a jak rychle zvládají generovat text? Představíme si tzv. "SLMs": modely mezi 0,1B a 4B.
lokalni.ai
October 28, 2026 at 3:31 PM
Jak malý může být jazykový model, aby byl užitečný? Na čem všem jde takto malé modely rozběhnout a jak rychle zvládají generovat text? Představíme si tzv. "SLMs": modely mezi 0,1B a 4B.
lokalni.ai/blog/male-mo...
lokalni.ai/blog/male-mo...
🇺🇸 has a pretty strong open model base in @liquidai 💪
They specialize in SLMs and TLMs — the best kind of LMs
x.com/liquidai/sta...
They specialize in SLMs and TLMs — the best kind of LMs
x.com/liquidai/sta...
October 27, 2026 at 9:35 PM
🇺🇸 has a pretty strong open model base in @liquidai 💪
They specialize in SLMs and TLMs — the best kind of LMs
x.com/liquidai/sta...
They specialize in SLMs and TLMs — the best kind of LMs
x.com/liquidai/sta...
There needs to be a distinction between SLMs and LLMs. LLMs are free and have no identifiable revenue stream.
October 26, 2026 at 4:00 PM
There needs to be a distinction between SLMs and LLMs. LLMs are free and have no identifiable revenue stream.
Große KI-Power im kleinen Format: Small Language Models (SLMs) bringen LLM-Features direkt auf deinen Laptop oder Smartphone. Schnell, offline und datenschutzfreundlich dank Ollama & Co. 🚀 #LocalAI #AI
October 27, 2026 at 8:00 AM
Große KI-Power im kleinen Format: Small Language Models (SLMs) bringen LLM-Features direkt auf deinen Laptop oder Smartphone. Schnell, offline und datenschutzfreundlich dank Ollama & Co. 🚀 #LocalAI #AI
Wrapping cloud LLM APIs is table stakes. The real Android engineering moat in 2026–27 is on-device AI:
• Local SLMs (LiteRT-LM / llama.cpp)
• INT4 Quantization & NPU delegates
• Offline Voice, RAG & Agents
🔖 Bookmark the roadmap below! What's your biggest local AI bottleneck right now?
• Local SLMs (LiteRT-LM / llama.cpp)
• INT4 Quantization & NPU delegates
• Offline Voice, RAG & Agents
🔖 Bookmark the roadmap below! What's your biggest local AI bottleneck right now?
October 26, 2026 at 3:43 AM
Wrapping cloud LLM APIs is table stakes. The real Android engineering moat in 2026–27 is on-device AI:
• Local SLMs (LiteRT-LM / llama.cpp)
• INT4 Quantization & NPU delegates
• Offline Voice, RAG & Agents
🔖 Bookmark the roadmap below! What's your biggest local AI bottleneck right now?
• Local SLMs (LiteRT-LM / llama.cpp)
• INT4 Quantization & NPU delegates
• Offline Voice, RAG & Agents
🔖 Bookmark the roadmap below! What's your biggest local AI bottleneck right now?
We are excited to share our latest work, presented at the NeurIPS 2026 Workshop on SLMs for Agentic Systems. Led by Gi Young Lee and Byounggook Cho in collaboration with Bionexus, it challenges a fundamental assumption in how we evaluate AI agent pipelines.
October 24, 2026 at 6:11 PM
We are excited to share our latest work, presented at the NeurIPS 2026 Workshop on SLMs for Agentic Systems. Led by Gi Young Lee and Byounggook Cho in collaboration with Bionexus, it challenges a fundamental assumption in how we evaluate AI agent pipelines.
📰 **How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications**
📰 Source: Hugging Face - Blog
🔗 Link: https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
📰 Source: Hugging Face - Blog
🔗 Link: https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
huggingface.co
October 23, 2026 at 5:49 PM
📰 **How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications**
📰 Source: Hugging Face - Blog
🔗 Link: https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
📰 Source: Hugging Face - Blog
🔗 Link: https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
The "compute burn" is real, but efficiency is catching up. Small, specialized models (SLMs) and local inference are shifting the ROI from massive scale to smarter, cheaper, edge-based execution.
October 23, 2026 at 9:02 PM
The "compute burn" is real, but efficiency is catching up. Small, specialized models (SLMs) and local inference are shifting the ROI from massive scale to smarter, cheaper, edge-based execution.
In this #InfoQ podcast, Rachel Lee Nabors explores how local-first apps and on-device small language models (SLMs) can deliver more privacy, lower latency, and reduced costs without relying on cloud-hosted LLMs.
🎧 Listen now: buff.ly/bEMiUBl
#AI #LocalFirst #LLM #Testing
🎧 Listen now: buff.ly/bEMiUBl
#AI #LocalFirst #LLM #Testing
October 21, 2026 at 6:13 PM
In this #InfoQ podcast, Rachel Lee Nabors explores how local-first apps and on-device small language models (SLMs) can deliver more privacy, lower latency, and reduced costs without relying on cloud-hosted LLMs.
🎧 Listen now: buff.ly/bEMiUBl
#AI #LocalFirst #LLM #Testing
🎧 Listen now: buff.ly/bEMiUBl
#AI #LocalFirst #LLM #Testing
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
October 22, 2026 at 8:30 AM
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization
La especialización del vocabulario se refiere a la práctica de adaptar el vocabulario utilizado en los Modelos de Lenguaje de Aprendizaje Supervisado (SLMs) para optimizar su rendimiento y reducir costos de inferencia.
https://norvik.tech/news/especializacion-vocabulario-sistemas-slm
https://norvik.tech/news/especializacion-vocabulario-sistemas-slm
October 22, 2026 at 8:06 PM
La especialización del vocabulario se refiere a la práctica de adaptar el vocabulario utilizado en los Modelos de Lenguaje de Aprendizaje Supervisado (SLMs) para optimizar su rendimiento y reducir costos de inferencia.
https://norvik.tech/news/especializacion-vocabulario-sistemas-slm
https://norvik.tech/news/especializacion-vocabulario-sistemas-slm