VLMS
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Explore more → **VLMS**
What is VLMS?
VLMS most likely refers to Vendor Lifecycle Management Systems. These systems are used to manage the relationships with vendors throughout their entire lifecycle, from initial onboarding and due diligence to ongoing performance monitoring, risk assessment, and eventual offboarding. They help organizations streamline vendor-related processes, ensure compliance, mitigate risks, and optimize costs associated with third-party relationships.
What other technologies are related to VLMS?
VLMS Complementary Technologies
LLMs
LLMs can be used as components within a VLMS, providing the language understanding and generation capabilities that a VLMS leverages to interact with and manage vector embeddings.
PyTorch
PyTorch is a deep learning framework often used to build and train the models that are the core of both LLMs and the vector embedding components of a VLMS. It provides the tools necessary to implement, train, and deploy these models.
TensorFlow
TensorFlow is another popular deep learning framework, similar to PyTorch. It can be used to build and train the models that are central to VLMS functionality, particularly the LLMs and vector embeddings. It also offers tools to deploy these models at scale.
Number of organizations that mention technology
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Which job functions commonly mention VLMS?
Developer Relations
0.2% of all Developer Relations jobs mention VLMS
View 6
jobs on Sumble
Machine Learning
30 Machine Learning jobs mention VLMS
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jobs on Sumble
AI Engineer
22 AI Engineer jobs mention VLMS
View 22
jobs on Sumble
Data Scientist
23 Data Scientist jobs mention VLMS
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jobs on Sumble
Researcher
25 Researcher jobs mention VLMS
View 25
jobs on Sumble
Which organizations are mentioning VLMS?
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