⚡Zapin Pulse: The power of picking the right AI model.

The AI race is only heating up. If you’re here, there is a good chance you’re in the top 1% of people.

Nvidia’s CEO gave a incredible Keynote speech at COMPUTEX 2024,

I highly recommend watching the full speech HERE.

TLDR: Companies are making massive investments, and leaps in technology that will shift the way we build and design every part of future tech.

Nvidia is release new development models called NIM’s. Downloadable AI containers specifically designed to create generative AI applications.

This groundbreaking tech is going to completely change the way applications are developed, and the speed at which they can be constructed.

Is the hype justified?

I think so. Nvidia has been playing the long game of computational cost reduction and this is the result.

3 Things to consider when choosing a LLM

While the majority of the market is still captured by Chat GPT. There are a number of highly useful models available for different use cases.

In all honesty, I don’t ever use Chat GPT. It often doesn’t seem smart enough or have the memory to handle the tasks I’m giving it.

There is always a certain degree of prompt engineering that determines the output.

But some models are categorically less useful than others.

Here are a few guides that I use when I’m choosing a Large Language Model to use.

1. Does it generate the response fast enough?
   Some models are considerable slower than others. While a larger model may produce a bit better result, speed is important if lower accuracy is acceptable. I love Llama 3.5 (Meta) models for this, you get near instant feedback while you’re writing the prompt. A real gamechanger when you have to make content and decisions quickly.
   

2. How much do I have to edit the response?
   This is a good gauge on how well you can prompt. But sometimes it’s simply the LLM that you are using. Different models are better at different things (Obvs lol). Comparing side by side with a tool like Perplexity allows you to get the best possible response that fits your situation.
   

3. Am I learning as much as I’m searching.
   It’s one thing to spin up a google search and find what you think you need. It’s another to have a AI partner helping you solve problems in real time. Focus on using AI less as a search tool, and more as a feedback and teacher.
   
   Ask it questions like “What makes this good?” “What makes this bad?”
   
   It’s some of the best feedback you can get without speaking to a single person.

Zapin staying ahead of the curve.

We’re constantly looking for the best and fastest way to deliver the best possible AI models to you.

That’s why we’re using Llama 3.5 to generate all of our AI solutions.

It’s incredibly fast and efficient.

We’re committed to keeping the models we use not only updated to the latest cutting edge tech, but also making sure that you get the highest quality responses and systems.

JC,
CEO of Zapin.

P.S.
Our free Beta is next week! Click the button below to register your interest and receive a exclusive invite to the free beta.