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The rise of Generative AI

The rise of Generative AI has been overwhelming. Every organization is trying to use it, and vendors promote it everywhere. The challenge for technology folks like you and me is truly figuring out how to benefit from it.

How are you handling this AI wave?

During this week, I reviewed different use cases of Large Language Model implementation and found 2 examples.

We had an earlier chance to cover the use cases for the Retail Industry to benefit from implementing Large Language Models. Below is the actual use case implemented by the very well-known retailer

3 use cases implemented by Carrefour at Carrefour fr:

1. Chatbot to assist with shopping on the store website. Choose products for the basket based on your budget, or you can have a menu idea.
2. Gen AI is used to update product descriptions
3. To improve internal purchasing processes. This solution will help them with everyday tasks like drafting invitations to tender and analyzing quotes.

Large Language Model Use case for Food outlets:

This use case is targeted by Wendy's.

During the drive-through, Wendy's restaurants will offer made-to-order by conversing with the customers with Generative AI rather than just offering fixed menu items;

Gen AI can understand the made-to-order requests and answer customers' frequently asked questions. It will have data from the restaurant's menu, aligned with the business rules and oversea of the logic for conversation.

Then, it will be integrated into the restaurant's Point of Sale system. It will help employees focus on serving fast, fresh-made, quality food and better service rather than investing time in ordering.

News & Updates...

This week has seen a storm of new AI features and products announced, fueling the technology revolution.

1. ​Meta AI has announced an advanced conversational assistant that’s available on WhatsApp, Messenger, and Instagram and is coming to Ray-Ban Meta smart glasses and Quest 3. Meta AI can give you real-time information and generate photorealistic images from your text prompts in seconds to share with friends
2. ​Deploying Large Language Models with OCI Data Science Using NVIDIA GPUs and Triton Inference Server
3. ​Azure Health Bot empowers developers in healthcare organizations to build and deploy AI-powered, compliant, conversational healthcare experiences at scale

Potential of AI

• McKinsey open-source ecosystem: Vizro​

Things to Know

• ​What is synthetic data?​
• ​Awesome Generative Artificial Intelligence curated list of resources; I found it a good resource documented here.

The Opportunity...

Podcast:

• This week's Open Tech Talks episode 118 on Tech Advisor Insights: Making the Right Calls for Your Startup with Brian Childress​

Courses to attend:

• ​Python Zero to Hero for DevOps Engineers​
• Would you like to learn more about artificial intelligence (AI), large language models (LLMs), and prompt engineering? Join CS50 from Harvard, the best course. I am also going through it.
• OCI AI Foundations Certification​

Events:

​GITEX 2023, Dubai, UAE: The world's largest tech show is staring tomorrow.

Watch the replay of Meta Connect; very interesting topics to learn.

Tech and Tools...

• ​Milvus is an open-source vector database built to power embedding similarity search and AI applications

Until next week,

Kashif Manzoor

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The opinions expressed here represent solely my own personal conjecture based upon experience, practice, and observation and 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.