Remove 2016 Remove ML Remove Natural Language Processing
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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

This can be implemented using natural language processing (NLP) or LLMs to apply named entity recognition (NER) capabilities to drive the resolution process. This optional step has the most value when there are many named resources and the lookup process is complex. Thomas Matthew is an AL/ML Engineer at Cisco.

SQL 148
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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. He has worked in software development and machine learning roles since 2016.

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. He has worked in software development and machine learning roles since 2016.

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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components. With a background in AI/ML, data science, and analytics, Yunfei helps customers adopt AWS services to deliver business results.

AI 98
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Tensor Processing Units (TPUs)

Dataconomy

These specialized processing units allow data scientists and AI practitioners to train complex models faster and at a larger scale than traditional hardware, propelling advancements in technologies like natural language processing, image recognition, and beyond. What are Tensor Processing Units (TPUs)?

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Groq sparks LPU vs GPU face-off

Dataconomy

Groq’s online presence introduces its LPUs, or ‘language processing units,’ as “ a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component to them, such as AI language applications (LLMs).

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Introducing NYU Center for Data Science Research Groups

NYU Center for Data Science

The group was first launched in 2016 by Associate Professor of Computer Science, Data Science and Mathematics Joan Bruna , and Associate Professor of Mathematics and Data Science and incoming CDS Interim Director Carlos Fernandez-Granda with the goal of advancing the mathematical and statistical foundations of data science.