I have been calling the OpenRouter API directly from my code recently. Earlier my code used to look a bit like this And now they look more like this The second option makes a lot more sense for my use case – extracting structured outputs. Here are some reasons why The direct API call is…
We use Gemma 3N 4B model for the task of extracting the NUMDAYS field when both VAX_DATE and ONSET_DATE are specified, but the NUMDAYS field is empty in the VAERS CSV file. The code has some extra steps for caching previous results and validating schema and such, but you should be able to paste this…
You can add a “thinking budget” to make Google Gemini Flash 2.5 spend some time and resources thinking about the answer it provided. This usually provides a better answer than if you do not enable the thinking budget, and can be quite handy for tasks which do require some thinking. Python code for adding thinking…
This task will extract information about whether a VAERS death report was for someone who was in a nursing home or in some kind of senior care. died due to cardiac arrest; This is a spontaneous report received from a contactable physician via regulatory authority with Regulatory authority report number CH-SM-2021-10701. A 94-year-old female patient…
Sundar Pichai mentioned a few interesting things in a recent interview on the All In Podcast About a year back, Google Gemini was simply not very good when compared to ChatGPT. But the LLM competition has now intensified, and you can see that Gemini has improved tremendously when compared to a year back. And this…
Click here to learn about the system I used for this comparison Model Accuracy Comparison Model Accuracy Comparison Comparison gemini-2.0-flash gemini-2.5-flash-preview-05-20 Age 100 100 Onset Date 100 100 Vaccination Date 100 100 Number of Vaccine Doses 100 100 Vaccine Manufacturer 100 100 Vaccine Lot Number 100 100 Had COVID-19 100 100 Was Healthy 66 99…
Click here to learn about the system I used for this comparison Model Accuracy Comparison Model Accuracy Comparison Comparison gemini-2.0-flash-lite gemini-2.5-flash-preview-05-20 Age 100 100 Onset Date 98 100 Vaccination Date 100 100 Number of Vaccine Doses 100 100 Vaccine Manufacturer 100 100 Vaccine Lot Number 100 100 Had COVID-19 100 100 Was Healthy 90 99…
Click here to learn about the system I used for this comparison Model Accuracy Comparison Model Accuracy Comparison Comparison gemini-1.5-pro gemini-2.5-flash-preview-05-20 Age 100 100 Onset Date 100 100 Vaccination Date 100 100 Number of Vaccine Doses 100 100 Vaccine Manufacturer 100 100 Vaccine Lot Number 100 100 Had COVID-19 100 100 Was Healthy 87 99…
Click here to learn more about the system I have used to do this calculation Model Accuracy Comparison Model Accuracy Comparison Comparison gemini-1.5-flash gemini-2.5-flash-preview-05-20 Age 99 100 Onset Date 99 100 Vaccination Date 100 100 Number of Vaccine Doses 100 100 Vaccine Manufacturer 100 100 Vaccine Lot Number 100 100 Had COVID-19 100 100 Was…
In my Udemy course, I build a system where I use four different Gemini models to provide an example of LLM eval – where an LLM is a judge for whether or not an answer is correct. Basic idea: This system can be extended to any dataset and to any LLM that you want to…
This task is to extract whether the patient was healthy before taking the vaccine In the example below patient_was_healthy will be False, because they did have a medical history. Feeling cold; Chills and shivering; high sweating; This is a spontaneous report from a contactable physician, received from the Regulatory Authority, regulatory authority report number of…
This task is to extract the number of COVID19 vaccine doses a patient has taken Feeling cold; Chills and shivering; high sweating; This is a spontaneous report from a contactable physician, received from the Regulatory Authority, regulatory authority report number of v20100815 and v20100816, and also received information via System. A 47-year-old female received first…