Day 5 of 180 | Reinforcement Model in Machine Learning | What is Reinforcement Learning day 5 Moye

10 Jan 2024 · 1 min
1:00

In this Hindi-language instructional video, Akansha Yadav explains how reinforcement learning (RL) underpins the learning mechanisms of ChatGPT. She describes RL as a feedback‑based learning approach where an agent receives rewards for positive actions and punishments for negative ones. When a user is unsatisfied with a response, they provide feedback, and through reinforcement learning from human feedback (RLHF) the model updates its behavior to produce more satisfactory, domain‑specific answers. The video emphasizes the role of rewards and punishments in shaping the model’s responses and illustrates how this process enables ChatGPT to improve over time based on user interactions.

Chapters

More from Akansha

0:24
youtube.com

Understand any AI Paper in just 5 minutes.

2mo ago
1:27:23
youtube.com

#6 Supervised Machine Learning Full Course: NumPy Code From Scratch

2mo ago
1:35
youtube.com

3 hacks for high cardinality data #ai #coding

2mo ago
0:42
youtube.com

Latency Vs throughput for interview preparation

2mo ago
1:15
youtube.com

One Hot encoding — categorical to numerical

2mo ago
0:48
youtube.com

Replication and Sharding for your next interview

2mo ago
30:43
youtube.com

#5 Stop Writing Slow Code: Learn NumPy Broadcasting & Vectorization

2mo ago
1:00
youtube.com

How to get 20 LPA Job using Python?

2mo ago
2:15
youtube.com

Full roadmap for machine learning engineer role | tech stack for ML

2mo ago
1:25
youtube.com

Before you apply for jobs - Watch this | What is AI-AI Bias

2mo ago
2:15
youtube.com

Reward hacking in reinforcement learning | best plugin to track RH in RL

2mo ago
See all content