Jan. 14, 2024, 6 p.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

Debugging performance issues in databases is challenging, and there is a need for a tool that can provide useful and in-context troubleshooting recommendations. Large Language Models (LLMs) like ChatGPT can answer many questions but often provide vague or generic recommendations for database performance queries. While LLMs are trained on vast amounts of internet data, their […]


The post AWS Researchers Propose Panda: A New Machine Learning Framework to Provide Context Grounding to Pre-Trained LLMs appeared first on MarkTechPost.

applications artificial intelligence aws chatgpt context database databases debugging editors pick framework language language model language models large language large language model large language models llms machine machine learning performance questions recommendations researchers staff tech news technology tool troubleshooting

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV