AWS for Healthcare & Life Sciences’ Post

Generative AI Agents vs RAG: What's the Difference? Ujjwal Ratan, AWS’ ML and Data Science Leader for Healthcare and Life Sciences, breaks it down in our latest 'AI in a Heartbeat' video! Watch now to level up your gen AI knowledge! 👀🧠

Check out this fantastic video from our Healthcare and Life Sciences AI/ML team leader, Ujjwal Ratan, about how to get the most from Generative AI using RAG.

I am thrilled to share the first 10 projects of my AI journey 🤖. In these projects, I focused on converting the machine learning knowledge I learned into practical applications and documenting the projects professionally. I am really proud of this achievement. I remember that my first project took me a whole month to finish 😅. Now, it’s just a piece of cake 🍰. Here is the repo link: https://lnkd.in/dWjvV6by

📻 A new episode of The Original Source is here! Join Shouvik Paul and Copyleaks Data Scientist Shai Nisan, Ph.D., for an insightful conversation about the world of AI detection, data science, and the challenges of differentiating between human and AI-generated texts. Episode link is in the comments 🔽

The wait is finally over! Join me for Episode 1 of the AI and Data Intro Series for Non-Tech professionals. The training series will cover all the important foundational concepts of AI and Data. Episode 1 is a Practical introduction to Generative AI Mark your calendars for next week Tuesday, 16th April at 8pm CEST (Brussel) and get ready to learn! Comment "interested" and I will DM you the registration link.

In the past few days, I've been turning to mlcontests.com to stay updated on #NeurIPS2023. They've been consistently delivering daily blogs highlighting the conference's key points and offering detailed analyses of the talks. Additionally, their coverage allows you to catch up on what happened during each conference day. The site also provides a curated list of public machine learning/data science/AI contests and research articles. Link: https://lnkd.in/ghVZnATG #AI #machinelearning #kaggle

Have you ever wondered how real-life datasets that mainly consists of Categorical and Numerical columns are incorporated in ML Models? This is on the basis that categorical data must be converted to numerical data so as to fit ML Models. Lets dive deep into the realm of AI by understanding the One Hot Encoding mechanism in ML. Join a team of Machine Learning experts at WHTA Networks

Had a great time at the annual Advances in Data Science & AI Conference 2024 in Manchester It’s the first academic conference I’ve attended in a while and, although there were no talks related to AI in audit, it was great to see all of the new exciting use cases that are being developed across the broad fields within data science. From advancements in natural and programming language models to how AI is changing how we humans interact with robots, the conference touched on a range of research topics. Data in audit can come in many forms. There are many different data types and in some cases it can be unstructured. It was interesting to explore the latest advances in AI across different fields outside of audit as these fields also face the same challenges, even if the end goals are different. In particular, some talks touched on the common difficulty of using electronic health records as data sources in healthcare. One talk that addressed this was by Prof Sotirios Tsaftaris’s on the Role of Casual AI in personalised Medicine. As well as being a fantastic speaker, the talk inspired some ideas which could be used to improve to improve audit quality using AI. All in all, a very enjoyable day and was great to catch up with old colleagues from my PhD days who happened to also attend! I will be back in 2025 😄

Just finished The Hundred-Page Machine Learning Book by Andriy Burkov. Pretty accessible, and thankful for the chapter on math notation that made understanding the algorithms much easier. Though the explanations were great on their own. Covers basic algorithms and builds Im them up over time to understand common problems to solve and had great primers on AI (my focus for 2024!)

Time is running out! ⏰ Our 'Inside AWS GenAI: Anatomy of LLMs' webinar is tomorrow, offering a comprehensive look into the mechanics and applications of Generative AI. Don't miss out on this opportunity to dive deep into LLMs, prompt design, and more. Register now: https://hubs.ly/Q02md-HM0