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Senior Machine Learning Engineer
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Snorkel AI
Hoang Tran is a Senior Machine Learning Engineer at Snorkel AI, where he leverages his expertise to drive advancements in AI technologies. He also serves as a Lecturer at VietAI, sharing his knowledge and mentoring aspiring AI professionals. Previously, Hoang worked as an Artificial Intelligence Researcher at Fujitsu and co-founded Vizly, focusing on innovative AI solutions. He also contributed as a Machine Learning Engineer at Pictory.
Hoang holds a Bachelor’s degree in Computer Science from Minerva University, providing a solid foundation for his contributions to the field of artificial intelligence and machine learning.
Connect with Hoang to discuss AI research, machine learning projects, or opportunities in education and technology.
The latest from Hoang
Blog
Walking safely before building flying saucer seatbelts: introducing Enterprise Alignment
Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment
Blog
How Snorkel topped the AlpacaEval leaderboard (and why we’re not there anymore)
Snorkel AI placed a model at the top of the AlpacaEval leaderboard. Here’s how we built it, and how it changed AlpacaEval’s metrics.
Blog
Scaling human preferences in AI: Snorkel’s programmatic approach
We’ve developed new approaches to scale human preferences and align LLM output to enterprise users’ expectations by magnifying SME impact.
Blog
How to fine-tune Llama 2 in Snorkel Flow
Data scientists can fine-tune Llama 2 to adapt it to specific tasks. The Snorkel Flow data development platform makes it easy to do so.
Blog
Enterprise LLM challenges and how to overcome them
Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key.
Blog
How to fine-tune large language models for enterprise use cases
LLMs have a broad but shallow knowledge, but fall short on specialized tasks. For best performance, enterprises must fine tune their LLMs.
Blog
How to fine-tune GPT-3.5 Turbo in Snorkel Flow
Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements.
Blog
Which is better, retrieval augmentation (RAG) or fine-tuning? Both.
Professionals in the data science space often debate whether RAG or fine-tuning yields the better result. The answer is “both.”
Blog
Beyond prompting: getting production quality LLM performance with Snorkel Flow
As enterprises look toward deploying LLM-powered, business-critical applications, they’re learning to use strategies beyond prompting.
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