Venkatesh Seenivasan’s Post

"Delving into the evolution of AI, my latest article explores the groundbreaking 'Sequence to Sequence Learning' and 'Neural Machine Translation' papers, paving the way for modern Transformers. Discover how the 'Attention is All You Need' paper revolutionized NLP, uncovering the workings and myriad benefits of transformer components. Dive deep into how models like GPT are trained from scratch, illuminating the future of AI. 🔍💡 Stay ahead in the AI landscape with insights from this insightful journey. #AI #Transformers #NLP #Innovation Innomatics Research Labs #Kanavbansal Innomatics Research Labs

🌐 Excited to share our latest blog post on detecting AI-generated text using NLP and machine learning approaches. In this study, we propose an AI detector model that effectively differentiates between AI-generated and human-written text, incorporating XGB Classifier, SVM, and BERT architecture deep learning models. Our findings reveal BERT's superior performance in identifying AI-generated text, with a 93% accuracy rate. We delve into the societal implications and potential industry benefits while addressing ethical and environmental concerns. Dive into the comprehensive analysis here: https://bit.ly/3xEfHXn. #AI #NLP #MachineLearning #TextDetection

🌟 Exciting Announcement! 🌟 Get ready for some fascinating insights on RAG (Retrieval Augmented Generation)! 🚀 Over the next few weeks, I'll be sharing my knowledge about this cutting-edge AI technology. From how it works to its incredible potential, we'll explore it all together! Stay tuned for deep dives into the world of AI and NLP. Let's uncover the magic behind RAG and revolutionize the way we interact with technology! 💡💬 #RAG #AI #NLP #StayTuned

Exploring new horizons in AI 💫 : Recently attended an enlightening talk by Sasha Rush (an Associate Professor at Cornell Tech and a researcher at Hugging Face) on 'Scaling Language Models in Data-Constrained Regimes.' The insights on advancing NLP technologies, even with limited data, were truly groundbreaking. Excited to see how these innovations will shape the future of AI! Link to the paper discussed: https://lnkd.in/eNk7A9Hi Here is a self-written summary of the talk. Happy reading! 📚 #NLP #AIInnovation #DataScience #CornellTech #HuggingFace

Learn about the groundbreaking breakthrough in AI development with the scaling of Recurrent Memory Transformer (RMT). Explore its impact on NLP applications and the potential for more efficient and robust models. https://lnkd.in/e5dmzD5c #Illustration #65f5aff158449

The Evolution of NLP and AI: A Deep Dive into BERT and LLMs In this blog post, we explore the journey of NLP and AI, with a focus on the groundbreaking models BERT and GPT. We discuss the evolution of LLMs, from their inception to their current state-of-the-art capabilities. We also explore the unique features of BERT and GPT, and how they have transformed the field of NLP. Read the full blog post here: https://lnkd.in/en2UzhiG #NLP #AI #BERT #GPT #Wexa

User experience matters - building a responsive and personalized experience means to use the right tool for the job. LLMs are fascinating but overkill for a lot of use cases

Machine Learning, NLP, LLM, and Deep Learning are not just technical buzzwords, but pillars that can redefine business strategies when understood profoundly. 🌟 But navigating complex AI concepts can be challenging. While many companies are dipping their toes in the vast ocean of AI, only a few truly grasp its transformative power.🌊 Set your sail with Ewa Halejak as she guides you through the intricate currents of the AI realm in our newest article. Uncover tangible insights and practical use cases to harness AI's full potential. 💡 👉 https://lnkd.in/d5wFxVTz #Inwedo #AI #MachineLearning #NLP

We concluded an exciting third week at the "AI Solution Architect" course with ELVTR. The combination of lectures and discussions was highly engaging. We delved deeply into the real-world application of NLP, explicitly focusing on text toxicity moderation. Witnessing how NLP can sift through massive datasets to identify and moderate toxic content was fascinating and highlights its role in making digital spaces safer for everyone. The discussions on biases in machine learning were eye-opening. We explored how these biases can affect algorithms and the importance of addressing them to ensure fairness and accuracy in ML systems. Another highlight was the QA process for ML. Training to rigorously test and validate our models ensures they perform well under various scenarios. Furthermore, we started laying out the pipeline deployment for ML projects. Every piece of the model fits into the larger picture of operational deployment. Here's to more breakthroughs and sharing in the coming weeks! #MachineLearning #NLP #AI #DataScience #ELVTR #DucHaba

Explore the power of Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks in my latest Medium blog. 📖 In this comprehensive guide, you'll discover: - The fundamentals of RNNs and their role in NLP. - How RNNs are used in sentiment analysis with real-world examples. - The magic of LSTMs in handling short-term and long-term memory. - Code examples for text generation using recurrent LSTMs. - Interview coding questions and solutions to ace your next tech interview. https://lnkd.in/gm-gmjjD #NLP #AI #MachineLearning #DeepLearning #SentimentAnalysis #TextGeneration #TechBlog