Peter Hwang
As a data scientist/machine learning engineer with over 6 years of experience, Peter has worked on a diverse array of projects, from pricing and inventory optimization to customer analysis and digital marketing. Currently, he is deeply engaged in the exciting field of Natural Language Processing (NLP), where he specializes in building applications based on Large Language Models (LLMs). Peter's work involves leveraging advanced techniques such as RAG and the development of domain-specific LLMs to address complex challenges, ensuring optimal balance between cost, speed, explainability, and value.
- AI
- insights
- innovation
- Instant insights
- yabbleit
- Insider
- trends
- Virtual Audiences 2
- growth
- Product Release
- Virtual Audiences 1
- text analytics
- AIonPoint
- Count 1
- Synthetic Data
- chatgpt
- Count 2
- Count 3
- GPT-3
- Gen 1
- Gen 2
- Gen 3
- Plugin
- Stories 1
- Stories 2
- Stories 3
- Summarize 1
- Summarize 2
- Summarize 3
- Virtual Audiences 3
- data
- newhire
Mastering LLM Prompting: Insights from Two Years of Experience with Large Language Models
As a Machine Learning Engineer at Yabble, I’ve had the privilege of working with Large Language Models (LLMs) for the past two years, even before the explosion of interest sparked..
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