IBM has released two new language models, PowerLM-3B and PowerMoE-3B, featuring 3 billion parameters and an advanced power scheduler designed for efficient large-scale AI training. These models represent a significant leap in efforts to improve the efficiency of language models. Concurrently, OpenBMB has introduced MiniCPM3-4B, a versatile and efficient small language model with advanced functionality, extended context handling, code generation capabilities, better mathematical ability, and proficiency. MiniCPM3-4B also offers scalability in model and data dimensions. The release of these models highlights the ongoing advancements in AI and machine learning, emphasizing the importance of both large and small language models in the current technological landscape.
[CL] What is the Role of Small Models in the LLM Era: A Survey https://t.co/EeRfTW93yK https://t.co/g7HGCngp3C
What is the Role of Small Models in the LLM Era: A Survey by Lihu Chen and @GaelVaroquaux Interesting paper exploring the relationship between #LLMs and Small models(SMs), revealing how they collaborate for optimal performance, yet also compete when resources are scarce or… https://t.co/IL79q0fTYy
The synergy of Small Language Models (SLMs), Agentic AI and ASIC Inference processors is a paradigm shift! What does higher output speed (i.e., tokens/sec) imply for next-generation multi-hop SLM Agentic AI? https://t.co/wmw7wU5zeO