AI Tech CircleHey 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 dimmed 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. Common users are getting benefits from the Generative AI either in the form of using ChatGPT, Google Bard, or even every small to large software provider is infusing into 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 is not correct. 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 adoption by large organizations. 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.
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Weekly News & Updates…The technology revolution is being fueled by the announcement of new AI tools and products this week.
The Cloud: the backbone of the AI revolution
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Social post by Mark Zuckerberg |
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:
- This week’s Open Tech Talks episode 124, “AI in Healthcare: AI Strategies, Challenges and Innovations with James F. Jordan, Distinguished Service Professor of Health Care and Biotechnology at Carnegie Mellon University’s Heinz College, the President of StraTactic
Courses to attend:
- EECS 4422 Computer Vision, York University: This course introduces the fundamental concepts of vision with 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:
- Oracle CloudWorld, Dubai, UAE January 23, 2024
- WebSummit, Qatar, Feb 26-29, 2024
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…
- World Bank Open Data
- The Humanitarian Data Exchange
- World Health Organization DataSet
- Ego4D consortium, large-scale multi-modal, multi-view, video dataset
Other Technology News
Want to stay on the cutting edge?
Here’s what else is happening in Information Technology you should know about:
- OpenAI’s Sam Altman in talks with Middle East backers over chip venture
- LinkedIn Jobs On The Rise 2024 Announced: The 25 Fastest-Growing Roles
Earlier Edition of a newsletter
- Introduction to Generative AI for Newbies
- Generative AI Tech Stack Evolution
- Generative AI use cases Text Summarization
- Generative AI for Retail industry
- How to validate your first Generative AI Use Case
- 5 approaches for deploying Generative AI
- Large Language Models
- The rise of Generative AI
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 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.