Thomas Bury’s Post

🚀 Just wrapped up an enlightening workshop on NLP Essentials! 💡 It was an incredible delving into the intricacies of Natural Language Processing and its real-world applications. 🌐 From understanding the fundamentals to exploring advanced techniques, every moment was packed with insights and learning. 💼 Excited to leverage this newfound knowledge to enhance my skills and contribute meaningfully in the field. 📈 Thanks to Artifical Intelligence Deep learning Club (Fr. CRIT) for such wonderful opportunities #NLP #LearningJourney #ProfessionalDevelopment #DataScience

Introduction to Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) combines retrieval-based models and generative models to enhance the performance of language models. By fetching relevant documents based on an input query and using this information to generate responses, RAG ensures that outputs are both accurate and contextually relevant. This hybrid approach is transforming how we handle large language models (LLMs) for tasks like question answering and content generation. Stay tuned for more insights on NLP and AI advancements! #NLP #AI #MachineLearning #DataScience #NaturalLanguageProcessing #LLMs Feel free to connect and share your experiences or ask any questions!

I’m thrilled to share that I’ve just completed the Generative AI: Working with Large Language Models course! 🚀 🌟 What I Learned: - Explored the transformative power of Transformers in NLP. - Delved into key Large Language Models (LLMs) since the debut of GPT-3. - Gained insights on scaling laws and the unique contributions of each model. 🔑 Key Skills Acquired: - Generative AI - NLP Techniques - Practical applications of LLMs Looking forward to leveraging these skills in future projects and discussions! If you’re interested in AI or have insights to share, let’s connect! 🤝 #GenerativeAI #LargeLanguageModels #NLP #ContinuousLearning #AI

🚀 Fine-Tuning T5: Building a Stack Overflow Tag Generator https://lnkd.in/g9TuBMia Discover how to fine-tune the T5 (Text-To-Text Transfer Transformer) model to generate accurate tags for Stack Overflow questions. This article provides practical insights and techniques for customizing the T5 model using question headings and content, helping you enhance your NLP applications. #NLP #AI #MachineLearning #T5Transformer #FineTuning #DataScience #StackOverflow #TagGeneration #TechInnovation #NaturalLanguageProcessing

Excited to share my latest achievement in AI development! I've successfully fine-tuned a Bert-based model for Part of Speech tagging on the 'eriktks/conll2003' dataset. You can now test this model on my Hugging Face Profile and leverage its capabilities for your NLP tasks. I've also deployed the model for inferences on HuggingFace, making it easily accessible. https://lnkd.in/d6vE_5XT Join me on this AI journey and let's grow together! Follow me for informative posts and updates on AI development, and let's explore the possibilities of NLP and machine learning. #opensource #NLP #huggingface #pos #ai #ml #NLPModels #LanguageModels #AIDevelopment #AICommunity #LearnAI #AIEnthusiasts #DataScience #NaturalLanguageProcessing #LanguageModels

From the 1950s' rule-based systems to today's AI-driven deep learning, NLP has drastically transformed human-machine interactions. Milestones like Turing's Test, statistical methods, Word2Vec, and BERT have reshaped our digital experiences. Now, enhanced contextual understanding and ethical considerations are pushing NLP forward, promising ground-breaking advancements. Read about the evolution of NLP from simple systems to the modern powerhouse of digital transformation. https://bit.ly/3Ky26Uv #NLP #AI #NaturalLanguageProcessing #DeepLearning

🌟 Day 11: Deep Dive into Transformer Decoders! Recently, I’ve been focusing on understanding the decoder part of transformers, and it’s fascinating how this component powers a range of applications in NLP and beyond. The decoder, in essence, is responsible for generating output sequences step-by-step. What makes it powerful is the self-attention mechanism, which helps the model consider previous tokens in the sequence while generating the next one. This allows for context-aware generation a key factor in tasks like text generation, translation, and summarization. Learning about how decoders enable transformers to handle complex language tasks has been a big step in my journey with NLP. Excited to continue exploring and applying this knowledge in future projects! #Transformers #MachineLearning #DeepLearning #NLP #AI #LearningJourney

"Excited to share that I've completed the NLP Foundations program! During this journey, I deepened my knowledge of Natural Language Processing, covering essential topics like text preprocessing, tokenization, sentiment analysis, named entity recognition, and more. I explored practical implementations, refined data extraction, and gained hands-on experience with cutting-edge tools in NLP. This program has strengthened my passion for AI, and I'm ready to leverage these skills to build smarter, more intuitive solutions. Thanks to iNeuron.ai Here's to continuous learning and the power of language! 🚀 #NLP #AI #DeepLearning #iNeuron #SkillBuilding"

𝗛𝗼𝘄 𝗔𝗜 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗶𝗻 𝗦𝗲𝗮𝗿𝗰𝗵 𝗪𝗼𝗿𝗸: 𝗔 𝗟𝗼𝗼𝗸 𝗕𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝗦𝗰𝗿𝗲𝗲𝗻 Ever wonder how AI overviews in search engines provide such accurate answers? Dive into the world of AI, NLP, and machine learning to see how it’s changing the way we find information online! #AIinsearch #NLP #machinelearning #searchengines #digitalsearch #AItechnology #contentoptimization #searchoverview #futureofAI #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine Read More👇 https://lnkd.in/gbZWyxM3

🖥️Excited to share my latest article on Medium: "Unlocking the Secrets of Natural Language Processing: A Beginner's Guide!" In this post, I explore the fundamentals of NLP, its importance in today's digital landscape, and key concepts like text preprocessing, representation, and various techniques. Whether you’re new to AI or looking to deepen your understanding, this guide is for you! 🔗 Read the full article here https://lnkd.in/dpaATWub Let’s embark on this NLP journey together! I’d love to hear your thoughts and questions in the comments. #NLP #ArtificialIntelligence #MachineLearning #NaturalLanguageProcessing #TechForGood