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The AI community is witnessing a shift towards smaller, more efficient language models. Recent developments include the release of SmolLM 360M, tuned with Argilla's DPO 7K mix, and the introduction of Hugging Face's SmoLLM, MistralAI's and Nvidia's Nemo, and OpenAI's GPT-4o Mini. Experts predict that smaller models will become more prevalent due to their cost-effectiveness and performance benefits. This trend suggests that intelligence will become a commodity, with multiple state-of-the-art LLM providers emerging at equilibrium. The move towards smaller models is seen as a significant development in the field of AI, potentially leading to the widespread adoption of open-source AGI.
LLM model size competition is intensifying… backwards! My bet is that we'll see models that "think" very well and reliably that are very very small. There is most likely a setting even of GPT-2 parameters for which most people will consider GPT-2 "smart". The reason current… https://t.co/SkIX5aqYiO
scale is all you need but surely AI devs are going to realize soon the importance and usefulness of smaller language models... here we go! it's pretty much what we talk about in our LLM course will be doing a more comprehensive test on all these small models like GPT-4o mini,…
LLMs innovation continues to follow these very predictable trends - Models will become smaller, cheaper, and more performant - Intelligence will be a commodity. At equilibrium, we will have a dozen SOTA LLM providers - Open-source AGI will soon become inevitable Barring some…
