Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Please note that all translations are automatically generated. Click here for the English version.
474 Views
•
03:14 min
•
December 6th, 2024
DOI :
December 6th, 2024
•Przeglądaj więcej filmów
Rozdziały w tym wideo
0:00
Introduction
0:58
Integrating Domain‐Specific Knowledge into Large Language Models Using Embeddings: An Approach Leveraging Llama‐Index and Llama‐2
Powiązane Filmy
12:49
Transcranial Direct Current Stimulation (tDCS) of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
16.7K Views
06:48
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
9.1K Views
05:48
Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
1.4K Views
09:09
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
385 Views
03:31
End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
449 Views
08:33
Development of an Alpha-synuclein Based Rat Model for Parkinson's Disease via Stereotactic Injection of a Recombinant Adeno-associated Viral Vector
13.2K Views
08:05
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
7.4K Views
05:56
Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
2.3K Views
09:47
DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
933 Views
04:17
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
591 Views
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone