John Krupakar Nishani’s Post

Just finished the course “Introduction to Prompt Engineering for Generative AI” by Ronnie Sheer! This guideline provides a great starting point to understand large language models and the problems they can solve to help our team. Looking to expand knowledge on Natural Language Processing (NLP), I find out the perfect solution for our team to enhance our abilities for a more accurate creative content. We know that using text generation AI responsibly is crucial and we are excited to dive deeper into the complexities of this field. Starting with understanding the accurate way to use generative AI. #ai #digitalart #creative #generativeai #nlp

Unraveling the Magic Behind Natural Language Processing (NLP)__ Have you ever wondered how your digital assistant understands your commands? That’s the power of Natural Language Processing (NLP)! Let's break down the NLP pipeline: Text Input & Data Collection: Gathering raw text data is the first step. Text Preprocessing: Cleaning and structuring text for analysis. Text Representation: Converting text into numerical formats for machine understanding. Feature Selection: Identifying relevant information from the text. Model Selection & Training: Building and training NLP models. Model Deployment & Inference: Using the model to make predictions or generate text. Evaluation & Optimization: Assessing model performance and making improvements. Iteration & Improvements: Continuously refining the model for better results. NLP is transforming industries from customer service to healthcare. Want to know how? Let's connect! ___@ #NLP #naturallanguageprocessing #artificialintelligence #machinelearning #datascience #technology #innovation

Fascinating isn't it, the extent of human innovation ? From inventing the wheel to discovering the internet and now the rising influence of Artificial Intelligence 🤖 As the years pass , the capabilities of AI also grows exponentially . Gone are the days were Artificial Intelligence was accused of being machinery incapable of creativity and emotion, Now AI can do creative tasks such as content writing, image generation and analyze human emotions with the use of Natural Language Processing(NLP). NLP has proved to be extremely useful in bridging the gap between human emotions and bots . My knowledge and curiosity towards NLP as been greatly improved by Microsoft 's course 🌟 Natural Language Processing in Microsoft Azure 🌟. The course covered : ✴Using resources on Microsoft Azure for text,speech and sentiment analysis. ✴ Building a language understanding model ✴ Building a QnA bot for customer services Let's contribute to the AI revolution one step at a time . Here's to new learnings and a smarter future.#AI #NLP #Coursera

🚀 Excited to share insights on language modeling in my latest blog post! Language modeling, a cornerstone of natural language processing (NLP), involves predicting word sequences in context, enabling machines to generate human-like text. I delve into the architecture, tasks, and popular models such as BERT and GPT, showcasing their transformative impact on various NLP applications. 🔍 Explore how transformer-based architectures, like BERT and GPT, revolutionize language modeling by capturing long-term dependencies with attention mechanisms. Discover the distinction between autoregressive and autoencoding tasks, and their applications in text generation and classification. 💡 Additionally, I discuss innovative uses of language modeling, from developing autocomplete features to building advanced chatbots and quality analysis systems. These applications leverage the power of language modeling to enhance user experiences and optimize processes across industries. 🌟 Dive into the world of language modeling and stay ahead in the ever-evolving landscape of NLP! Check out the full blog post for more insights: [https://lnkd.in/gkvaMziN] #LanguageModeling #NLP #BERT #GPT #AI #MachineLearning #DataScience

🌟 Excited to share that I've successfully completed the "Introduction to Prompt Engineering for Generative AI" course by Ronnie Sheer! 🌟 This course provided a solid foundation in the latest techniques for working with AI, particularly in natural language processing. Throughout this course, I gained a comprehensive understanding of: 🔍 Generative AI (GenAI): Mastering the principles and applications of generative AI. 🌐 Natural Language Processing (NLP): Understanding how machines interpret and generate human language. 🎯 Zero-Shot Prompting: Learning to get AI models to perform tasks without prior examples. 📊 Few-Shot Prompting: Using minimal examples to guide AI models effectively. 🔗 Check out my certificate: https://lnkd.in/gxpZTCsU #GenerativeAI #NLP #ZeroShotPrompting #FewShotPrompting #AIInnovation #TechSkills #CareerGrowth #AIRevolution

Are you ready to revolutionize the way you interact with your reports and analytics? How can you benefit with Power BI and NLP? • Ask natural questions, get instant answers • Data analysis made simple, your data turns into easy-to-understand visuals • Uncover hidden trends and patterns with AI-Powered Insights • Make informed decisions faster and with more confidence than ever before Watch our recorded demo showing the integration of POWER BI and NLP: https://lnkd.in/eN9s7Fxx #PowerBI #AI #NLP

In 2024, AI text generation tools are revolutionizing the way we create content, making it faster and easier than ever before. These tools leverage cutting-edge technologies like natural language processing (NLP) and machine learning to generate high-quality, human-like text. Read Blog https://lnkd.in/dGrzABCi #AITextGeneration #ContentCreation #NLP #MachineLearning #AIWriting #DigitalTools #ContentMarketing #TechInnovation

Just completed an incredible course on Large Language Models: Application through Production by Databricks via edX! Here are some key learnings that I'm excited to share with you: Unlocking NLP with GenAI & LLMs: Applying Generative AI (GenAI) and Large Language Models (LLMs) to real-world problems in Natural Language Processing (NLP) is now easier than ever! Thanks to popular libraries like Hugging Face and LangChain, we can tackle complex language tasks with these powerful technologies. Empowering LLMs with Knowledge: Incorporating domain knowledge and memory into LLM pipelines using embeddings and vector databases significantly enhances their capabilities. Understanding these features allows us to build more contextually aware and effective models. Fine-Tuning for Peak Performance: Delving into the intricacies of pre-training, fine-tuning, and prompt engineering is essential for optimizing LLM performance. Hands-on practice helped me fine-tune a custom chat model for specific needs. Responsible LLM Development: Evaluating the efficacy and bias of LLMs is crucial for responsible deployment. By employing various evaluation methods, we can ensure our models are accurate, fair, and unbiased. Streamlining LLM Workflows: ⚙️ Implementing LLMOps and multi-step reasoning best practices streamlines the LLM workflow for efficiency and scalability. These strategies overcome common challenges in model development and deployment. Excited to continue exploring the possibilities of LLMs and GenAI in real-world applications! ✨ #Databricks #EdX #NLP #AI #GenerativeAI #LLM

Exciting Project Update: Text Summarization Using Hugging Face Models! 📚🤖 I am thrilled to announce the completion of my latest project – Text Summarization using Hugging Face Models! This innovative project leverages state-of-the-art natural language processing (NLP) techniques to create concise and coherent summaries from lengthy texts, transforming how we process and consume information. #AIMERSSOCIETY #INDIANSERVERS #NLP #AI #TextSummarization #HuggingFace

🚀 Exciting News! Introducing "Harnessing Generative AI: A Concise Guide to LLMs, NLP, and APIs" 📚 I'm thrilled to announce the release of my latest book, a comprehensive guide that dives into the world of generative artificial intelligence and its transformative potential across industries. 🌟 Key Highlights: In-depth exploration of Large Language Models (LLMs), Natural Language Processing (NLP), and API integration Practical insights on fine-tuning and transfer learning techniques for adapting pre-trained models Step-by-step guidance on building AI-powered applications, including deployment and scalability considerations Real-world use cases showcasing the power of generative AI in text generation, translation, question answering, and more. Discussion of ethical considerations and future directions in the field Whether you're a developer, data scientist, researcher, or simply curious about AI advancements, this book offers a concise yet comprehensive resource to help you harness the potential of generative AI. 🔗 Get your copy now and embark on a journey to unlock the possibilities of generative AI in your projects! #GenerativeAI #NLP #LLMs #APIs #BookRelease #AIForGood #DataScientist