Peter Hwang
Peter, a data scientist with 6+ years of experience, specializes in NLP and LLMs, developing solutions for pricing, customer analysis, and more.
Topics
- AI
- insights
- innovation
- Instant insights
- yabbleit
- Insider
- AIonPoint
- Product Release
- Virtual Audiences 1
- Virtual Audiences 2
- trends
- growth
- Synthetic Data
- text analytics
- ANZ
- Count 1
- Gen 1
- chatgpt
- Count 2
- Count 3
- FMCG
- GPT-3
- Gen 2
- Gen 3
- Plugin
- Stories 1
- Stories 2
- Stories 3
- Summarize 1
- Summarize 2
- Summarize 3
- Virtual Audiences 3
- data
- harvardbusinessreview
- newhire

Fine-Tuning vs. General Purpose Models for AI in Market Research: A Perspective Shift
Three months ago, if you had asked me about fine-tuning language models versus using general-purpose models, my response would have been immediate and straightforward:..

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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