The AI community is witnessing significant advancements in language model technologies, highlighted by the introduction of Mistral AI's Mixtral model and the development of 25 fine-tuned Mistral-7B models that outperform GPT-4 for specific tasks. Mixtral, praised for its specialized attention mechanisms, promises superior capabilities against its predecessor, LLaMA-2. Meanwhile, improvements in Llama inference speeds are anticipated to be 4x faster, leveraging static cache and torch compile for decoder models, with minimal code changes required. The launch of LoRA Land, powered by Ludwig and LoRAX, offers real-time comparisons of these fine-tuned models against mistral-7b-instruct. Predibase has fine-tuned 27 adapters using Mistral-7B, with 25 achieving performance that rivals or surpasses GPT-4, all at a cost of less than $8.00 each. These developments mark a notable progress in the efficiency and effectiveness of language models, opening new possibilities for AI applications.