Hi! This is a very novel and constructive work. I am very interested in the application of Agent Lighting in the Text2SQL task. If possible, can you share the detailed scores (such as Execution ...
Abstract: This study presents WaterQA, an intelligent question-answering platform addressing challenges in water resource management using Large Language Models (LLMs) and Retrieval-Augmented ...
MindsDB's new AI interface enables natural language conversations with enterprise datasets—unifying structured databases and unstructured knowledge with intelligent agentic orchestration SAN FRANCISCO ...
Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...
The Microsoft DKI team is at the forefront of exploring cutting-edge research and applications of multimodal large models. We have developed multiple open-source projects such as Wizard, TaskWeaver, ...
df_sample = pd.read_parquet(f"data/competition/competition/{dataset_id}/sample.parquet") # df_sample = pd.read_parquet(f"data/competition/competition/{dataset_id}/all ...
Tabular data analysis is crucial in various fields, and large language models show promise in this area. However, current research mostly focuses on rudimentary tasks like Text2SQL and TableQA, ...
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