Parrot: Optimizing End-to-End Performance in LLM Applications Through Semantic Variables
Large Language Models (LLMs) and Their Application in AI Development Large language models (LLMs) have revolutionized the field of application ...
Tag: endtoend
End-to-End Automation Solutions | Harnessing the Power of Extensibility
Automation solutions have become a critical necessity in today's business landscape, as they streamline operations and enhance efficiency by replacing ...
How end-to-end business processes drive efficient growth
Enterprise operations are like the systems of the human body, complex and interconnected. Every department and contributor must excel in ...
UniLLMRec: An End-to-End LLM-Centered Recommendation Framework to Execute Multi-Stage Recommendation Tasks Through Chain-of-Recommendations
The goal of recommender systems is to predict user preferences based on historical data. Mainly, they are designed in sequential ...
Meet Taipy: An Open-Source Python Library Designed for Data Scientists and Machine Learning Engineers for Easy and End-to-End Application Development
Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of ...
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization
Recent advances in deep learning and automatic speech recognition have enhanced the accuracy of end-to-end speech recognition to unprecedented levels. ...
Meet LMDrive: A Unique AI Framework For Language-Guided, End-To-End, Closed-Loop Autonomous Driving
Large Language Models (LLMs) have improved the field of autonomous driving in terms of interpretability, reasoning capacity, and overall efficiency ...
ByteDance AI Research Introduces StemGen: An End-to-End Music Generation Deep Learning Model Trained to Listen to Musical Context and Respond Appropriately
Music generation using deep learning involves training models to create musical compositions, imitating the patterns and structures found in existing ...
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
In this paper, we explore the use of Federated Learning (FL) to train End-to-End Automatic Speech Recognition (ASR) models. We ...
The Long and Short of It: Proportion-Based Relevance to Capture Document Semantics End-to-End | by Anthony Alcaraz | Nov, 2023
Dominant search methods today typically rely on keywords matching or vector space similarity to estimate relevance between a query and ...
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