OpenAI signed a $38 billion deal with Amazon Web Services, diversifying its cloud computing resources beyond Microsoft with access to hundreds of thousands of Nvidia GPUs through 2026. The seven-year ...
Objective: In this study, LLMs with new prompt engineering technology are explored to enhance model interpretability and improve the prediction performance of pulmonary disease based on traditional ...
Abstract: Deep learning models are widely used in data-driven applications due to their high predictive performance, but their lack of interpretability limits their applicability in domains requiring ...
I tried to use BLIP3(xgen-mm-phi3-mini-instruct-r-v1) for the narrator demo but prompt output was always same the following. Please advice how to modify main.py to output correct prompt.
A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...
Abstract: Deploying machine learning models on large-scale IoT devices in edge networks is challenging. Federated edge learning (FEEL) has emerged as a potential solution based on a hierarchical ...
Flow-GRPO (Flow-based Group Refined Policy Optimization) converts long-horizon, sparse-reward optimization into tractable single-turn updates: Benchmarks. The research team evaluates four task types: ...
In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
The Week 5 NFL schedule wraps up with a 'Monday Night Football' showdown between the Kansas City Chiefs and Jacksonville Jaguars at EverBank Stadium at 8:15 p.m. ET. The Chiefs arrive in Jacksonville ...
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