Unlocking the 4 Critical Gaps in ChatGPT and Large Language Models

Wisdom

Genius Becoming "All Knowing God"

Complexity of training Data

Data Set i.e. "featuring 7 billion Parameters trained on 800 billion data Tokens (words)"

It is akin to age and wisdom

Chimp, to Baby, to Genius to God

Photographic memory, instant recall across multiple domains.

Lenny

Context window size (Short Term Memory)

GPT-2, GPT-3, GPT-3.5, 16K, GPT-4.0 32k, Claude-2 100K

It's like talking to Lenny. Or Albert Enstien with Dementia

Models with more Tokens means they can chat with you longer before their Dementia kicks in.

The more text you give it, the less it can remember and the worse it performs.

The longer a Chat History, earlier chat goes in memory hole, dementia, and the worse it performs and the more it frustrates you.

System

The System Prompt. AKA - A Fix Role

Example: Act like William Shakespeare who is always in a bad mood and answers every prompt in a riddle peom that rhymes.

If you add this to the system prompt, it will act like this forever.

You have brainwashed it to act the same way, every time, without fail, no exceptions.

If you put it in the prompt, it will work for a while, then it will have the LENNY problem, and then it will forget, make things up. Does ChatGPT have this?

Knowledge Base

Upload the DNA and Conciseness of any set of Data

Specialized modules or extensions that can be integrated with ChatGPT to enhance its capabilities.

Focused Expertise: Load domain-specific knowledge, allowing Groove.ai to answer specialized queries more accurately.

It's like creating a Database of Knowledge

Example: Socialism as a Blog Post with Jasper.ai

Does ChatGPT have this?

Find Out What All Of This Means ...

And How To Resolve These Gaps And Headaches!

Watch A Short Video Now!

A.I. Large Language Models ARE NOT perfect...

I Know Why ChatGPT Frustrates You!

It's because of 4 critical gaps!

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