This was a fascinating look at how open source technologies around WebAssembly, vector databases, federated learning and model quantization are tackling limitat

This was a fascinating look at how open source technologies around WebAssembly, vector databases, federated learning and model quantization are tackling limitations with today's large language models. By combining these technologies, we can enable more customizable and specialized AI applications while preserving privacy and optimizing performance - something that proprietary LLMs today often struggle with.