5 approaches for deploying ​Generative AI​


Deployment of Generative AI in your existing IT ecosystem

You have all started working on how Generative AI can be incorporated into the existing IT ecosystem so that you can start getting the benefits. It is a critical and vital area to address, as every organization uses and has quite a different applications and systems portfolio. It leads to a challenge of how Generative AI will fit into the overall enterprise architecture.

This week, I have learned five significant approaches for deploying #GenerativeAI in various applications, according to Gartner.


1 - Consume: Gen AI Embedded in Applications
In this approach, generative AI is already integrated within applications. Users consume the AI capabilities as they are without needing to modify or customize the underlying AI models.

2 - Embed: Gen AI APIs in Custom Application Frameworks
Here, generative AI capabilities are accessed through APIs and embedded into custom applications. It allows for a more tailored use of AI functionalities within a specific application framework.

3 - Extend: Gen AI Models via Data Retrieval
This method extends existing generative AI models by retrieving and incorporating external data. This approach enhances the AI model's capabilities by leveraging additional data sources.

4 - Extend: Gen AI Models via Fine-Tuning
This approach also extends generative AI models through fine-tuning rather than data retrieval. Fine-tuning adjusts the AI model's parameters for specific tasks or data sets, providing more customized outputs.

5 - Build: Gen AI Custom Models from Scratch
The most advanced approach involves building custom generative AI models from scratch. This allows complete control over the AI model's design and capabilities, which can be tailored to unique and specific requirements.

Each approach offers different levels of customization and control, ranging from the simple consumption of pre-built AI tools to the complex development of custom AI models.§

News & Updates...

This week's new AI features and products are announced, fueling the technology revolution.

  1. The most significant and shocking news about the departure of Sam Altman as CEO of OpenAI is being discussed as a repeat of what happened with Steve Jobs at Apple. The board decided to let him leave the company.
  2. Google DeepMind's Lyria, the most advanced AI music generation model to date, is introduced. Within YouTube Shorts, you can use Dream Track to add music. Another development in this area is that any content published by the Lyria model will be watermarked with SynthID, the same technology toolkit for identifying images generated by Imagen on Google Cloud's Vertex AI.
  3. 7 key themes around potential harms to mitigate imminent safety threats from AI

The Cloud: the backbone of the AI revolution

Potential of AI

Things to Know

  • Dropbox Plans to Leverage NVIDIA's AI Foundry to Build Custom Models and Improve AI-Powered Knowledge Work With Dropbox Dash Universal Search Tool and Dropbox AI
  • Generative AI use cases repository (work in progress)

The Opportunity...

Podcast:

Courses to attend:

  • Machine Learning for Beginners - A Curriculum from Azure Cloud
  • Generative AI for Beginners - A Course
  • Experience AI is a new educational program that offers KS3 (ages 11–14) children resources on artificial intelligence and machine learning for teachers and their students. Developed in collaboration with the Raspberry Pi Foundation and Google DeepMind.

Events:

Tech and Tools...

  • Screenshot-to-code: one of the best uses of GPT-4 is to convert a screenshot to HTML/Tailwind CSS. It uses GPT-4 Vision to generate the code and DALL-E 3 to create similar-looking images
  • TLDraw is an open-source collaborative digital whiteboard. Its editor, user interface, and other underlying libraries are open source.
  • Landing AI: I learned about this tool to build computer vision applications with the prompt in human natural language.
  • Workhelix: a means to get you to answer for which jobs will be most transformed. How much productivity boost can you get from Generative AI if you implement it in your organization? How should you start?
  • Kira*learning: a platform for computer science and AI education for K-12 learners

Until next week,

Kashif Manzoor

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The opinions expressed here are solely my own conjecture based on experience, practice, and observation. They do not represent the thoughts, intentions, plans, or strategies of my current or previous employers or their clients/customers. The objective of this newsletter is to share and learn with the community.

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