⭐ Building Reliable LLM Apps: 5 Things To Know In this blog post, we explore a roadmap for building reliable large language model applications. Let’s get started!
⭐ Reducing LLM Costs & Latency with Semantic Cache Implementing semantic cache from scratch for production use cases.
⭐️ Decoding OpenAI Evals Learn how to use the eval framework to evaluate models & prompts to optimise LLM systems for the best outputs.
⭐️ Ranking LLMs with Elo Ratings Choosing an LLM from 50+ models available today is hard. We explore Elo ratings as a method to objectively rank and pick the best performers for our use case.