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Intelligent Writing Assistants in the era of Large Language
MLOps World: Machine Learning in Production
15 พ.ค. 2024
การดู 15 ครั้ง
Learning from Extremes: What Fraud-Fighting at Scale Can Teach Us About MLOps Across Domains
Thomas Dietterich, "What’s Wrong with Large Language Models, and What We Should Be Building Instead"
Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023
Better Chatbots with Advanced RAG Techniques
Why AI apps don't work in prod: AI Reliability Survey
เทคนิคการ Prompt และการใช้งาน CHAT GPT
Lecture 1 – NLU Course Overview | Stanford CS224U: Natural Language Understanding | Spring 2019
The Who, What, and Why of Data Lake Table Formats
How To Paraphrase Using AI Without Getting Detected
Lessons learned from scaling large language models in production
Beautiful Relaxing Music - Stop Overthinking, Stress Relief Music, Sleep Music, Calming Music #16
Live Modeling Hogwarts Great Hall in SketchUp
Function Calling for LLMs: RAG without a Vector Database
Running prompts at CI does not make your GenAI app enterprise ready
1-HOUR LESSON - Improve Your Writing ✍️ (Academic, Professional, & Descriptive)
Stanford CS25: V3 I Retrieval Augmented Language Models
The writing process and process writing
The BEST component for your RAG system
Reinforcement Learning from Human Feedback: From Zero to chatGPT
The Journey of Building a Leading Open Source LLM Security Toolkit