![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgeI9DH0FSHKaVzyRLRh5j4IEmvXMZ4_dg9C7NyQyPmNYD6g09RYpMGqXEzuBgjSadxNa02ApBc2cY_Jmfn8pDRNqRRLxvBRu2hzxfdrYczOEyL6KfmOf99yO97CiREULXjMOlq5bay4mlFZskmJxZm5PFLZ0UrQ1GdMPPllirwqqPOffJTKjk0z54lBQw/w640-h408/20240716_BIRD_VES.png)
: , , , Data Henrik Henrik's thoughts on life in IT , data and information management , cloud computing , cognitive computing , covering IBM Db2, IBM Cloud , Watson , Amazon Web Services , Microsoft Azure and . more Pages Home Db2 pureXML Resources Acronyms dashDB resources Books and Papers on DB2 Friedrichshafen Bodensee Tuesday , July 16, 2024 About BIRD , SQL , IBM granite models , and your business reporting BIRD-SQL benchmark Some years ago , when composing SQL queries , I was hoping that those queries would just fly performing flawlessly and quickly . Now , I stumbled over something SQL-related that seems to fly : BIRD-bench It measures Large Language Models' LLMs capabilities to generate SQL queries from text input . It is at the core of SQL : You describe the result set you . need