D. Kyle Miller – Medium

D. Kyle Miller

D. Kyle Miller

LLM Customization: Part 3 — P-Tuning an LLM

I. P-Tuning

1d ago

LLM Customization: Part 3 — P-Tuning an LLM

1d ago

D. Kyle Miller

LLM Customization: Part 2— Few Shot Approach to drive model improvement

(This is a continuation of an effort to fine-tune a LLM to a specific task. The first entry discussed how to Generate Synthetic Data using…

Jul 10

LLM Customization: Part 2— Few Shot Approach to drive model improvement

Jul 10

D. Kyle Miller

LLM Customization: Part 1 - Using an LLM to generate synthetic training data

Objective: Fine-tuning an LLM to distinguish between addresses that are misspelled verus those that just look similar to one another

Jul 8

LLM Customization: Part 1 - Using an LLM to generate synthetic training data

Jul 8

D. Kyle Miller

Do you really need to train your very own Large Language Modlel (LLM) or are PEFT and Vector…

NVDIA offers an excellent course: Efficient Large Language Model Customisation the TLDR (Too Long, Didn’t Read) is as follows :

Jun 28

Do you really need to train your very own Large Language Modlel (LLM) or are PEFT and Vector…

Jun 28

D. Kyle Miller

Stop Covid-19 with a Toothbrush, GCP, and a little bit of Machine Learning

At the conclusion of an almost two year journey to build a startup that some of my friends and I thought would provide a societal benefit…

Jun 14, 2020

Stop Covid-19 with a Toothbrush, GCP, and a little bit of Machine Learning

Jun 14, 2020

D. Kyle Miller

PyTorch Implementation of Autoencoder that Dominates Competing Asset Pricing Models, including…

It was shocking for me to learn that deep learning models have been used to identify risk-adjusted returns more effectively than even the…

May 20, 2020

PyTorch Implementation of Autoencoder that Dominates Competing Asset Pricing Models, including…

May 20, 2020

D. Kyle Miller

Hello World Data Pipeline (Directed Acyclic Graph) using Apache Airflow

I started becoming familiar with data pipelines and workflows while experimenting with software like StreamSets and Trifacta. These are…

Nov 11, 2019

Hello World Data Pipeline (Directed Acyclic Graph) using Apache Airflow

Nov 11, 2019

D. Kyle Miller

“Real” Big Data: PySpark to SQL to Pandas using only 9 simple methods()

PySpark is a Library used to write Spark apps in Python

Nov 9, 2019

“Real” Big Data: PySpark to SQL to Pandas using only 9 simple methods()

Nov 9, 2019

D. Kyle Miller
in
Towards Data Science

Natural Language Processing: Summarizing the Script of Game of Thrones — Part II

This story is a follow up to a post I wrote about using Trifacta, data wrangling software, and several libraries, Textacy and SpaCy to…

May 29, 2019

Natural Language Processing: Summarizing the Script of Game of Thrones — Part II

May 29, 2019

D. Kyle Miller
in
Voice Tech Podcast

Using Trifacta, Textacy, and SpaCy to complete Natural Langage Processing tasks on the script from…

Being one seemingly few people who hadn’t started watching Game of Thrones with the series nearing the season finale, I become curious…

May 8, 2019

Using Trifacta, Textacy, and SpaCy to complete Natural Langage Processing tasks on the script from…

May 8, 2019

D. Kyle Miller

D. Kyle Miller

Believer. Data Scientist. Consultant. Firm believer that people who are empowered to answer difficult questions can change the world!

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