📄 文章列表
148 篇文章
TDS
Evaluating LLMs for Inference, or Lessons from Teaching for Machine Learning
TDS
LLMs + Pandas: How I Use Generative AI to Generate Pandas DataFrame Summaries
TDS
Design Smarter Prompts and Boost Your LLM Output: Real Tricks from an AI Engineer’s Toolbox
TDS
Beyond Code Generation: Continuously Evolve Text with LLMs
TDS
Core Machine Learning Skills, Revisited
TDS
Become a Better Data Scientist with These Prompt Engineering Tips and Tricks
TDS
Rethinking Data Science Interviews in the Age of AI
TDS
Microsoft’s Revolutionary Diagnostic Medical AI, Explained
TDS
Recap of all types of LLM Agents
TDS
Let AI Tune Your Voice Assistant
TDS
How to Ensure Reliability in LLM Applications
TDS
Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems
TDS
How To Significantly Enhance LLMs by Leveraging Context Engineering
TDS
LLMs Continue to Evolve. So Should Your Skill Set.
TDS
Declarative and Imperative Prompt Engineering for Generative AI
TDS
The Misconception of Retraining: Why Model Refresh Isn’t Always the Fix
TDS
Generating Structured Outputs from LLMs
TDS
How to Use LLMs for Powerful Automatic Evaluations
TDS
From LangExtract to LangGraph: LLM Optimization, Explained
TDS