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Take notes on Microsoft's AI strategy
Microsoft's AI strategy, unpacked + make your own ChatGPT in Slack
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Welcome to another edition of what we’re determined to make the best damn newsletter in AI. Here we’ll break down AI topics that matter, open your mind to use cases, and keep you ahead of the curve.
Our #1 goal is to be useful. So please shoot us an email 📩 if you have questions or feedback, and especially if you implement something we share!
Here's what we're covering today:
Unpacking Microsoft's big moves in the AI space
DIY ChatGPT step-by-step tutorial using Slack and Make
Google's AI 'code red' in response to ChatGPT
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Let’s get to it! 👇
TODAY'S PERSPECTIVE
Microsoft’s AI moves, unpacked
Microsoft and Open AI officially announced a multibillion dollar investment to “extend” the partnership.
It’s clear that Microsoft has an exceptional position in the market.
AI will revolutionize the way we work, and Microsoft’s productivity tools appear to be at the center of it.
Just to name a few headlines we’ve been watching:
Microsoft also acquired Nuance last year, a leader in healthcare productivity software
Azure fully supports Open AI’s APIs, including newly announced HIPAA compliance
Microsoft also owns GitHub, who has one of the leading code generation tools, Copilot (now writing 40-60% of some engineers code)
Does this mean Microsoft has this market in the bag?
One way to be wrong is to try to predict the future. So we're not going to do that here. Signs above might point to "yes". So we're also going to share the argument for “no”.
We know Google is hard at work planning their release of likely multiple competing AI products, including Sparrow.
Well-funded startups including Anthropic are actively building and launching their own language models, some insiders we’ve talked to say that these models are clearly even better than GPT-3.
Creating an AI model like GPT-3 requires three key elements: data, compute, and a skilled team. Many companies have access to these, so the way they bring them to market will matter greatly.
Reid Hoffman said in a talk last week, that it’s likely these AI model providers will end up as an oligopoly, not a monopoly.
Ok that was a lot of links.
But we’ve found that the quickly changing AI landscape does influence a lot of how industries and businesses will lean into adopting AI. And watching where the big players are looking and investing can be helpful to all.
USE CASE DEEP DIVE
Recreate your own DIY ChatGPT (with Slack and Make)
But let’s say you wanted to mimic the conversational style of ChatGPT. And today we're going to show you how to make your own ChatGPT dupe.
The secret sauce is all in the prompt
All you need to get started is a (1) Slack account, (2) Open AI account, and (3) free Make subscription.
LINKS
For your reading list 📚
All this talk about Microsoft, what about Google?
Google put out a nice article describing 9 ways they use AI in their products. A good primer for anyone interested in spotting the AIs you’re already using.
Despite this, Google’s code red is evolving - they’ve even called in the founders to help lead the charge.
Google could be planning to demo a version of its own search engine with AI chatbot features and launch tons of new AI products this year
And if you're really nerdy ...
Here's a paper on batch prompting, which helps to reduce inference tokens and latency for better or comparable performance during inference with LLMs
This YouTube video walks you through how to build GPT from scratch, following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3
Researchers released InstructPix2Pix - a model that can generate image edits given a source image and an instruction (and here's a demo).
That's all!
We'll see you again on Tuesday. Thoughts, feedback and questions are much appreciated - respond here or shoot us a note at [email protected].
... and if someone forwarded this email to you, thank them 😉, and subscribe here!
Cheers,
🪄 The AI Exchange Team