How To Automate Prompt Engineering With Opro
In the past few years prompt engineering has emerged as a critical technique for optimizing the performance of large language models (LLMs). For example, CoT with a help of reasoning models (e.g.,...
In the past few years prompt engineering has emerged as a critical technique for optimizing the performance of large language models (LLMs). For example, CoT with a help of reasoning models (e.g.,...
A technical blog about Phi Silica – Microsoft’s on-device language model for NPU-powered Copilot+PCs. The blog covers PTQ, GQA, KV caches, and strategies to increase context length under the con...
I am happy to present CoAT: Corpus of Artificial Texts, a robust and a general benchmark for artificial (GenAI) text detection. It is published with a help of Cambridge University Press. The wor...
I am fond of the Western attitude towards a gap year. There exist travel programs for those who have obtained a BSc and wish to take a break before pursuing their MSc. In my case, the gap year tu...
The MVP for a model serving cloud-native solution. At my previous role, we actively set up a production environment for deploying hundreds of machine learning models. I want to talk about the cent...