Is ChatGPT Already Obsolete? Discover How Bedrock is Carving a New Path in AI with Customized Models

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Hi, fellow caveminds. This is Andrew, I wrote the deep dive today and I’m one of the co-founders alongside Benson as your guides on this journey of discovery, bringing to you a riveting assortment of content, complete with practical how-to guides and invaluable resources.

Hunt for these symbols of knowledge - 🏆🔥💰⌛⚒️ - each one leading you to a different part of our exciting new format: golden nuggets, impacts on your business, actionable steps, and ideas to marinate that you can mull over.

Trust me, there's a treasure trove of value waiting to be unearthed.

In Today’s Deep Dive…

• Reaping the Benefits of Customized AI Models

• Why the Future of LLMs are Engineered LLM’s

• Implementation Guides for Optimizing Your Custom LLM

• Why Amazon Bedrock is the End of Public Generative AI Models

Reap the Benefits of Customized AI Models

Imagine you have been selected by your company to purchase mobile phones for your entire company within the month. There are ultimately two options, iPhone 🍎 and Android 🤖.

While there are hundreds of reasons to choose one over the other - you have two personas you are purchasing for.

• 🧑‍🤝‍🧑 The first one is your employees — You want something familiar, easy to use, supports all your company apps, and modern.

• 🏢 The other persona your company — There really is only one requirement for this one: Privacy.

So you walk into IT and ask which phone supports all of the privacy features necessary to secure your company information without leaking sensitive content.

The truth is very few enterprises are even considering Generative AI and have gone so far as banning it inside their companies.

KPMG reported that over 65% of enterprise executives are at least 1 year away from adopting generative AI for any part of their business.

Blasphemy? Well, privacy matters. So executives will be patient to ensure their data remains protected.

But these same executives are talking at events we attend, requesting proposals from us, and attending cruises with us and Richard Branson. And they are all suggesting that ChatGPT is just not viable to use inside their companies, because:

1. The data is not protected.

2. It’s way too expensive to use at scale

3. It’s ridiculously overkill to solve an actual enterprise problem.

Wait what? Doesn’t ChatGPT have just one feature - predicting words?

Well sure, quick lesson 🤓, ChatGPT, Bard, and LLM predict words called tokens. In fact, only about 40,000 commonly used words in English are actually used in the model.

To increase sentence structure accuracy, the model uses two or more words together—the more the merrier—which consists of 1.6 billion combinations.

When the sentence grows to 20 words, the next word will have more possibilities than the stars in the universe. ✨

What I am trying to tell you is that your company’s data is not that big. Do you need to get an ax to cut your steak?

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