Description
This LLM model is trained to perform Summarization and Q&A based on a given context.
Predicted Entities
Available as Private API Endpoint
How to use
from sparknlp_jsl.llm import LLMLoader
llm_loader_pretrained = LLMLoader(spark).pretrained("jsl_meds_q16_v1", "en", "clinical/models")
prompt = """
Based on the following text, what age group is most susceptible to breast cancer?
## Text:
The exact cause of breast cancer is unknown. However, several risk factors can increase your likelihood of developing breast cancer, such as:
- A personal or family history of breast cancer
- A genetic mutation, such as BRCA1 or BRCA2
- Exposure to radiation
- Age (most commonly occurring in women over 50)
- Early onset of menstruation or late menopause
- Obesity
- Hormonal factors, such as taking hormone replacement therapy
"""
response = llm_loader_pretrained.generate(prompt)
import com.johnsnowlabs.ml.gguf.LLMLoader
import com.johnsnowlabs.nlp.SparkAccessor.spark
val llmLoader = new LLMLoader().setSparkSession(spark).pretrained("jsl_meds_q16_v1", "en", "clinical/models")
val prompt = """Based on the following text, what age group is most susceptible to breast cancer?
|## Text:
|The exact cause of breast cancer is unknown. However, several risk factors can increase your likelihood of developing breast cancer, such as:
|- A personal or family history of breast cancer
|- A genetic mutation, such as BRCA1 or BRCA2
|- Exposure to radiation
|- Age (most commonly occurring in women over 50)
|- Early onset of menstruation or late menopause
|- Obesity
|- Hormonal factors, such as taking hormone replacement therapy""".stripMargin
val response = llmLoader.generate(prompt)
Results
"The age group most susceptible to breast cancer, as mentioned in the text, is women over the age of 50."
Model Information
| Model Name: | jsl_meds_q16_v1 |
| Compatibility: | Healthcare NLP 5.4.0+ |
| License: | Licensed |
| Edition: | Official |
| Language: | en |
| Size: | 5.6 GB |
PREVIOUSJSL_MedM (LLM - q8)