1. ?? Highlight of the Week
- ? Resource:Foundations of Large Language Models
- ?? Why it matters: Designed for students, professionals, and NLP practitioners, it serves as a valuable reference for understanding and applying LLM concepts effectively.
2. ?? Key Articles & Insights
This week I have been thinking and researching potential implementation of generative AI into my computer vision related research. Therefore, I found the below listed review articles significant.
- ?? Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives – This paper is great for beginners level who wants to learn not just about the recently emerging architecture but also their uses, challenges during their implementation, plus opinions on general ecosystem including community initiatives, diminishing inclination in openly sharing research findings, relevant technology advances, datasets availability and potential future directions such as inclusive and ethical LLMs.
3. ?? Tools & Resources
- ?? LLM Visualisation: This teaching-by-visualizing tool lets you observe what occurs in the background when LLMs are working. It offers multiple architectures to inspect.
- ??? Deep Learning Course by Andrew NG: Andreas Horn′s post highlights Andrew Ng’s Deep Learning course on Coursera as an essential resource for mastering AI and deep learning. It shares a cheatsheet summarizing key topics, including neural networks, hyperparameter tuning, optimization, CNNs, and sequence models. The course provides a deep understanding of deep learning concepts beyond just surface-level explanations. Notes compiled by Mahmoud Badry are available for download.
4. ?? Social Spotlight
- ?? Top 40 Websites to Download Research Papers for Free: If you are new researcher like me, here is an open access resources to find your next paper:
- ??Foundations of Large Language Models: This book delves into the foundational concepts of large language models, prioritizing core principles over an exhaustive survey of the latest advancements. Organized into four main chapters, it covers pre-training, generative models, prompting techniques, and alignment methods. Designed for college students, professionals, and NLP practitioners, it serves as a valuable reference for anyone interested in understanding large language models.
5. ?? Question for the Community
- "? What’s one resource you’ve recently discovered that changed your perspective?"
6. ?? Upcoming Events/Opportunities
- ?? The AI Summit London [11-12?June 2025?@ Tobacco Dock, London]: Few session that caught my attention:
- ???SuperAI [June 18-19, 2025 @ Marina Bay Sands, Singapore]: If you're looking to attend an AI conference in Asia, the SuperAI conference in June is an excellent choice. With around 5,000 attendees, including many C-level executives, it offers a valuable networking opportunity. The event also features partnerships with some of the world’s leading AI companies, such as Microsoft, Google, AWS, OpenAI, and Salesforce. Be sure to take advantage of the Early Bird discount to save on your registration.
"If you enjoyed this, feel free to share it or reply with your favorite resource from the week!"
