Cheers to a successful 2025! Here are my predictions for the upcoming year.
How to choose a proprietary LLM vs. self-hosting open-source. See use cases, requirements and benchmarks, and optimization tools for LLMs.
Effectively implement and scale gen AI while avoiding risk. See use cases, from R&D to automotive to the supply chain.
Learn to build gen AI pipelines that are modular, so they can support up-to-date LLM deployment and management
LLM evaluation is the process of assessing the performance and capabilities of LLMs. In this post we present the different types of LLM evaluation methods and show a demo of a chatbot that was developed with crowdsourcing.
Gen AI is already impacting customer care organizations across many different use cases. In this post we dive deep into these use cases and their business and operational impact, and show how one is built.
Monitoring LLMs ensures higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one.
