When it comes to large language models, Mistral and Llama2 are two notable entries in the field, each with its unique attributes: Model Architecture Mistral: Known for its innovative approach, Mistral uses a sparse mixture-of-experts architecture, which allows for more efficient computation by activating only a subset of the model’s parameters for any given input. This leads to faster inference times and potentially lower computational costs. Llama2: Developed by Meta AI, Llama2 follows a more traditional transformer architecture but with significant optimizations for performance and efficiency. It focuses on scaling up the model size to improve capabilities. ...

When discussing version control and distributed ledger technologies, it’s possible to think of Git and blockchain and get confused on where they overlap and where they go their own way. Both use hash chains to maintain data integrity. However, their fundamental purposes and ideal use cases are different. In this post, we explore what each technology was designed to solve and when blockchain actually offers capabilities that Git cannot provide. ...