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GenAI at the Peak of the Hype Cycle

Published 3 months ago • 4 min read

AI Tech Circle

Hey Reader!

Generative AI has reached the top of Mount Everest; suddenly, the entire Artificial intelligence field has become only Generative AI (Large Language Models); every media outlet to policymakers has made so much noise that the excellent work of AI apart from Generative AI has started dimming and this has brought pressure to organization leaders, they have to do something and bring it to the organization. It is the same pressure for everyone in the tech industry to understand Generative AI.

Everyday users benefit from Generative AI by using ChatGPT, Google Bard, or even every small to large software provider infusing the products.

For example, Canva, the graphic design/templates provider, has added the functionality to use AI to create content, banners, images, etc.

Regarding large software packages like ERP, Oracle has added built-in functionalities in the HCM application. A few areas to mention are in HR, such as writing job descriptions and writing individual goals.

Customer relationship applications like Salesforce have been added to their product function to enhance the experience; a few areas to mention are writing sales emails, call summarization, etc.

Such functions have started providing benefits to users on a massive scale.

However, the expectations are high that every business problem has a solution from the Generative AI, which needs to be corrected.

On the other hand, the World Economic Forum's Annual Meeting at Davos was also dominated by global AI leaders and influencers for AI governance, security, and so many other areas.

Returning to the adoption cycle of Generative AI, there is still a long way to go for large organizations to adopt it. Slowly started taking

No doubt it's at the height of the cycle. As per Gartner's 2023 Hype Cycle for Artificial Intelligence (AI), it is on the top; refer to the below image:

Which will follow the path of moving to the next phase quickly.

Ultimately, if we talk about Generative AI from a text generation point of view, the following could be the target capabilities all organizations will achieve.

Weekly News & Updates...

The technology revolution is being fueled by the announcement of new AI tools and products this week.

  1. Stable LM 2 1.6Bis a 1.6 billion parameter small language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch. This model’s size and speed reduce hardware limitations, allowing all to access quickly.
  2. Mosaic-SDF (M-SDF) from Meta is a simple novel 3D shape representation for generative models.
  3. A developer’s guide to open-source LLMs and generative AI
  4. How OpenAI is approaching 2024 worldwide elections

The Cloud: the backbone of the AI revolution

Favorite Tip Of The Week:

Here’s my favorite resource of the week.

LM Studio: Discover, download, and run local LLMs on laptops, and this is also for me in this week's to-do-list

Potential of AI

  • Meta (Facebook) CEO Mark Zuckerberg has shared his vision to build Artificial General Intelligence (AGI) and explained the investment in building the Nvidia chips.

Things to Know

  • Cohere's Build-Your-Own-Connector framework allows you to integrate Cohere's Command LLM via the Chat API endpoint to any datastore or software that holds text information and has a corresponding search endpoint exposed in its API

The Opportunity...

Podcast:

Courses to attend:

  • EECS 4422 Computer Vision, York University: This course introduces the fundamental concepts of vision with an emphasis on computer science and engineering
  • Deep Learning in Computer Vision, York University: This course will cover a range of foundational topics at the intersection of Deep Learning and Computer Vision.
  • Generative AI for Beginners - A Course: Learn the fundamentals of building Generative AI applications with our 12-lesson comprehensive course by Microsoft Cloud Advocates

Events:

Tech and Tools...

  • Lilac: It helps you curate data for LLMs, from RAGs to fine-tuning datasets
  • WhisperSpeech: An Open Source text-to-speech system built by inverting Whisper

Data Sets...

Other Technology News

Want to stay on the cutting edge?

Here’s what else is happening in Information Technology you should know about:

Earlier Edition of a newsletter

That’s it!

As always, thanks for reading.

Hit reply and let me know what you found most helpful this week - I’d love to hear from you!

Until next week,

Kashif Manzoor


The opinions expressed here are solely my 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.

AI Tech Circle

Kashif Manzoor

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