Pros and Cons of Chat GTP3
Pro’s
- “GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. For comparison, its predecessor, GPT-2, was over 100 times smaller at 1.5 billion parameters.
- ChatGPT is a large language model (LLM). Large Language Models (LLMs) are trained with massive amounts of data to accurately predict what word comes next in a sentence.
- ChatGPT is trained using human feedback (a technique called Reinforcement Learning with Human Feedback) so that the AI learned what humans expected when they asked a question.
Con’s
- The primary problem is that while the answers which ChatGPT produces have a high rate of being incorrect, they typically “look like” they “might” be good…
- Data is generated from 2019 version of internet
Competitors
- Google is building LaMDA, which can generate real time data
My take on It
- GTP-3 is not ready to use BUT integrating with elements like
o Fact check automation
o Plagiarism and Grammar check
o Prioritization of Topics
o Source or reference [ Where the content is referenced from]
- Very soon, ChatGTP3 will be overtaken by LaMDA by google
#GTP3
#ChatGTP3
#seo
#ai
Source:
- https://lnkd.in/g8QG4eAE
- https://lnkd.in/g4S8Pi6N
- https://lnkd.in/gwzd9thf
