PHUSE’s Post

I'm thrilled to share that I recently completed the "Generative AI with Large Language Models" course. In this program, I covered a wide range of topics, including pre-training LLMs, addressing computational challenges, fine-tuning on single and multi tasks, LLMs evaluation metrics, benchmark models, and reinforcement learning. Excited to apply this knowledge to real-world projects and discuss the latest advancements in AI. If you share my interest in AI and LLMs, let's connect and keep the conversation going! #AI #GenerativeAI #LLMs #MachineLearning

In details of Deep Reinforcement Learning to understand all of it.

🔻 I am speaking at the State of Search in Dallas (Grapevine) Nov 13th and Nov 14th. Who all is going? 🗣 My talk will be on: "#Google, AI, & Algorithms: From Ranking Signals to SGE." Summary of the Talk. 'Google has been using machine learning and AI in its algorithms for a few years now. Last year we even saw the addition of the Helpful Content Update, the first machine learning ranking signal, to Google's updates. This year we have the addition of Search Generative Experiences (SGE) to search. However, many SEOs do not know how these systems work or even that they exist. This talk will explain where Google uses machine learning algorithms such as Rank Brain, Neural Matching, and the Helpful Content Update and how they work especially Large Language Models which are at the basis of the SGE experience. Audience members will learn how Google uses machine learning, where Google uses machine learning, and what they can do about it." #StateOfSearch2023

🚀 Day 29 of "10 Weeks of LLMs" Delving into the world of Retrieval-Augmented Generation (RAG): Join us as we explore the cutting-edge applications of RAG in Large Language Models (LLMs). This deep dive is crafted for professionals and students eager to push the boundaries of AI and machine learning. Uncover the intricacies of RAG's role in enhancing LLMs and its impact on the quality of generated content. 🌟 Share your thoughts and insights on LinkedIn. Tag us, and use #LLMwithAV to connect with professionals and enthusiasts who are shaping the future of AI. #analyticsvidhya #AV10weeksofLLMs #LLMs #generativeai

🎉 Exciting News! 🎉 I'm thrilled to share that I've successfully completed the "Generative AI with Large Language Models" course! 📜✅ This journey has equipped me with a deeper understanding of the capabilities of LLMs and their applications in generative AI. I'm eager to apply this knowledge to future projects and explore the vast potential of AI-driven solutions. #GenerativeAI #LargeLanguageModels #Certification #ContinuousLearning #AI #MachineLearning

F'inn has been experimenting with LLM (Large Language Models) and ML (Machine Learning) for several years, to understand the role AI can play in the work that we do. One of our co-founders Greg Robison has been training open source models on our own proprietary datasets. Our goal is to not only learn, but also to create a F'inn model ideally suited for quantitative data collection by revealing underlying human preferences in a coherent manner. Some of our journey and discovery is explained here... excited to share this and more about F'inn's work with #ai . #largelanguagemodels #artificialintelligence #future #research

🚀 Excited to share my latest project: Heart Murmur Detection using deep learning! Leveraging the power of AI, I've developed a model with an impressive accuracy of approximately 91.5%. But I'm not stopping there. I'm continuously striving to enhance its performance. 💻 I've also created a user-friendly website where you can explore the project, learn how to use it, and even try out the code yourself. Experience firsthand how our model detects heartbeats by recording your own. Check out the source code on GitHub [https://lnkd.in/dccHBryf]. I'm eager to receive feedback to improve my skills further ! #HeartHealth #AI #DataScience