One commit at a time, we are keeping multimodal document understanding, parsing, and information extraction free under a permissive license.If you like the idea, or if something is missing or something we can do better, give us a nudge.https://github.com/oidlabs-com/LexoidInitial benchmarks: https://oidlabs-com.github.io/Lexoid/benchmark.html#benchmark-resultsWork in progress ...
But, I liked the idea that the reward model is not static, and if the user is provided with multiple options, then the extra score might help break the tie.
I wonder if this is a common scenario to save costs across different cloud vendors. e.g. https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/jupyter-notebookWhat do others think?
With the latest LLMs/codex improvements, the quality of SQL generation has improved but how do folks feel about the idea in-general? - Is it an overkill? - Will it be helpful such generators act as assistants?
I have a need to do HTTP load testing. Going through the web realized split in opinion in-regards to the right tool. Have narrowed down my focus to 2 vegeta and JMeter. Before i down the journey, thought will check with you guys how do we feel about them ?