Does a Small Language Model even support multimodality?
You’d think the answer is no — but the evidence says otherwise.

Small models are now reading text, interpreting images, and handling audio without needing giant compute. They’re fast, lightweight, and able to run on devices where big models simply can’t.

When multimodality goes small, AI becomes easier to deploy in the real world — clinics with limited connectivity, field devices, mobile apps, and tools that need instant responses without cloud dependence.

Multimodal SLMs are proving that power doesn’t always come from size. Sometimes it comes from smart design.

#datasciencenigeria #SLMs

Confused between Large and Small Language Models? Find out the truth behind their strengths, tradeoffs, and the hybrid AI strategy top companies are betting on.

https://trumetric.specbee.com/blogs/ai-model-llms-vs-slms-for-business

#aimodels #llms #slms #artificialintelligence #aichoices #aidevelopment #businessgrowth #aitechnology

"If the strengths of A.I. are to truly be harnessed, the tech industry should stop focusing so heavily on these one-size-fits-all tools, and instead concentrate on narrow, specialized A.I. tools engineered for particular problems. Because, frankly, they’re often more effective.

Until the advent of chatbots, most A.I. developers focused on building special-purpose systems, for things like playing chess or recommending books and movies to consumers. These systems were not nearly as sexy as talking to a chatbot, and each project often took years to get right. But they were often more reliable than today’s generative A.I. tools, because they didn’t try to learn everything from scratch and were often engineered on the basis of expert knowledge.

Take chess. If you ask a large language model (the kind of A.I. that powers a chatbot like ChatGPT) to play a game of chess, it struggles to play well and often makes illegal moves, never fully grasping the rules of the game, even after exposure to huge amounts of relevant training data.

Special-purpose programs for chess, in contrast, are programmed from the outset to follow a built-in set of rules, and structured around core notions such as board structure and a tree of possible moves. Such systems never make illegal moves, and the best special-purpose chess systems can easily beat even the most skilled humans. Remarkably, an Atari 2600, using custom A.I. software built in the 1970s, was recently reported to have beaten a large language model."

https://www.nytimes.com/2025/10/16/opinion/ai-specialized-potential.html?unlocked_article_code=1.t08.B01D.pFP2y6z-d7vN&smid=nytcore-ios-share&referringSource=articleShare

#AI #GenerativeAI #LLMs #Chatbots #SLMs

Is Faith in the supposed “God-like” powers of large language models (LLMs) waning as businesses and developers shift their focus to smaller, more nimble alternatives?

This trend suggests a significant change in the AI landscape, with important implications for both the tech giants at the forefront and those, like Apple, that have taken a more cautious approach.

https://neurodoctor.com/2025/09/09/faith-in-god-like-llms-waning/
#ai #artificialintelligence #llm #slms #apple #nvidia #openai

"AI-powered influence operations can now be executed end-to-end on commodity hardware. We show that small language models produce coherent, persona-driven political messaging and can be evaluated automatically without human raters. Two behavioural findings emerge. First, persona-over-model: persona design explains behaviour more than model identity. Second, engagement as a stressor: when replies must counter-arguments, ideological adherence strengthens and the prevalence of extreme content increases. We demonstrate that fully automated influence-content production is within reach of both large and small actors. Consequently, defence should shift from restricting model access towards conversation-centric detection and disruption of campaigns and coordination infrastructure. Paradoxically, the very consistency that enables these operations also provides a detection signature."

https://arxiv.org/html/2508.20186v1

#AI #GenerativeAI #LLMs #Chatbots #Propaganda #AIPropaganda #Disinformation #SLMs

🧠 Il futuro dell’#AI agentica è small? 

💡Secondo NVIDIA Research, gli Small Language Models (#SLMs) offrono una combinazione vincente.

👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ai-slms-llms-activity-7347565455529684992-QdHJ

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro 

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM