Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657

Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657

Today we’re joined by Jay Emery, director of technical sales & architecture at Microsoft Azure. In our conversation with Jay, we discuss the challenges faced by organizations when building LLM-based applications, and we explore some of the techniques they are using to overcome them. We dive into the concerns around security, data privacy, cost management, and performance as well as the ability and effectiveness of prompting to achieve the desired results versus fine-tuning, and when each approach should be applied. We cover methods such as prompt tuning and prompt chaining, prompt variance, fine-tuning, and RAG to enhance LLM output along with ways to speed up inference performance such as choosing the right model, parallelization, and provisioned throughput units (PTUs). In addition to that, Jay also shared several intriguing use cases describing how businesses use tools like Azure Machine Learning prompt flow and Azure ML AI Studio to tailor LLMs to their unique needs and processes. The complete show notes for this episode can be found at twimlai.com/go/657.

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Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118

In this episode, we're joined by Raja Chatila, director of Intelligent Systems and Robotics at Pierre and Marie Curie University in Paris, and executive committee chair of the IEEE global initiative o...

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Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117

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Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116

Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116

In this episode, I speak with Ksenia Konyushkova, Ph.D. student in the CVLab at Ecole Polytechnique Federale de Lausanne in Switzerland. Ksenia and I connected at NIPS in December to discuss her inter...

5 Maalis 201831min

Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

In this episode, I speak with Mike Del Balso, Product Manager for Machine Learning Platforms at Uber. Mike and I sat down last fall at the Georgian Partners Portfolio conference to discuss his present...

1 Maalis 201849min

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

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26 Helmi 201828min

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

In this episode, I speak with Sriraam Natarajan, Associate Professor in the Department of Computer Science at UT Dallas. While at NIPS a few months back, Sriraam and I sat down to discuss his work on ...

23 Helmi 201847min

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

In this episode, part 4 in our Black in AI series, i'm joined by Charles Onu, Phd Student at McGill University in Montreal & Founder of Ubenwa, a startup tackling the problem of infant mortality due t...

20 Helmi 201848min

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

In today’s episode, I’m joined by Roland Memisevic, co-founder, CEO, and chief scientist at Twenty Billion Neurons. Roland joined me at the RE•WORK Deep Learning Summit in Montreal to discuss the work...

15 Helmi 201832min

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