​AI Tech Circle​

Hey Reader!

Before you read the weekly updates, I wanted to ask how your New Year’s resolutions are going since we are already in the first weekend of 2024. If you need tips to turn your resolutions into actions, I have shared my experiences with you, read over here.

Generative AI Tech Stack Evolution

We enter an era marked by rapid advancements and unprecedented integration of artificial intelligence in over IT ecosystem.

At the heart of this evolution lies a sophisticated layering of technological components, each playing a pivotal role in shaping the future of AI applications.

As outlined by Accenture in the guide ‘A new era of generative AI for everyone’ 5 layers of technology stack.

Applications: The realm of Generative AI and Large Language Models (LLMs) is expanding into a more user-centric era. Cloud APIs and embedded AI capabilities will make these technologies more accessible and customizable, enabling seamless integration into various applications and allowing users to tailor models to their unique datasets and objectives.

Fine-tuning: The art of fine-tuning models is evolving into a critical discipline that bridges technology with diverse fields such as software engineering, cognitive psychology, linguistics, and user-experience design, reflecting the growing complexity and interdisciplinary nature of AI applications.

Foundation Models: As the marketplace for foundation models grows, we’ll see a surge in model variety and sophistication. Next-generation models will prioritize a balance of scale, interpretability, and adaptive performance, meeting the needs of a broader array of applications.

Data: The journey towards a mature data lifecycle is becoming essential for leveraging AI. Mastery over data architecture, innovative data types, and the handling of large-scale datasets will be key. Future data platforms are expected to enhance feature extraction and analysis capabilities, empowering more sophisticated AI models.

Infrastructure: The backbone of Generative AI is its infrastructure. Sustainable cloud solutions will be pivotal, focusing on managing operational costs and reducing carbon footprints. The modernization of data centers, along with advances in chip architecture and algorithm efficiency, will form the cornerstone of next-gen AI infrastructure.

Weekly News & Updates…

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

1. ​Evaluating and Mitigating Discrimination in Language Model Decisions, a paper from Anthropic
2. ​AutoRT, SARA-RT and RT-Trajectory to improve real-world robot data collection, speed, and generalization from Google DeepMind
3. ​WHOOP personalized fitness and health coaching with GPT-4

The Cloud: the backbone of the AI revolution

• Deploy LangChain applications as OCI model deployments from Oracle Cloud​
• Generating value from enterprise data: Best practices for Text2SQL and generative AI from AWS cloud​
• Simplify speech analytics with BigQuery, powered by Vertex AI from Google Cloud​
• Infuse responsible AI tools and practices in your LLMOps from Azure cloud​
• By Jove, It’s No Myth: NVIDIA Triton Speeds Inference on Oracle Cloud from Nvidia​

Favorite Tip Of The Week:

Here’s my favorite resource of the week.

​How to create complex GPTs with API actions and a Node.js backend

Potential of AI

• ​VGen from Alibaba is an open-source video synthesis codebase developed by the Tongyi Lab, featuring state-of-the-art video generative models

Things to Know

• ​What developers need to know about generative AI on GitHub
• ​How generative AI is changing the way developers work on GitHub

The Opportunity…

Podcast:

• This week’s Open Tech Talks episode 121 ‘AI in Business: Beyond Theory, Embracing Real-World Application with Abdul Jabbar Sani‘

Courses to attend:

• ​Complete Langchain GEN AI Crash Course With 6 End To End LLM Projects With OPENAI, LLAMA2, Gemini Pro: this one is also on my to-do-list

Events:

• ​CES 2024, Jan. 9-12, in Las Vegas, USA

Tech and Tools…

• ​From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
• ​RAGatouille: Easily use and train state-of-the-art retrieval methods in any RAG pipeline

Data Sets…

• Datasets repository from Kaggle​
• UC Machine Learning repository

Other Technology News

Want to stay on the cutting edge?

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

• ​Perplexity AI Search Raises $76 Million, ChatGPT Store To Open
• ​Microsoft sticks an AI ad on keyboards​

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 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.