7 Steps to Mastering Large Language Model Fine-tuning From theory to practice, learn how to enhance your NLP projects with these 7 simple steps.
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On my reading stack: A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks (a tip of the hat to Raphaël MANSUY, for his recent post citing this paper) https://lnkd.in/gYMh9b5B
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
arxiv.org
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Advanced language models have revolutionized NLP, significantly improving machine understanding and human language generation..... #algorithmic #Analysis #article #Comprehensive #Empirical #language #models #Presents #PreTraining #progress
This article presents a comprehensive empirical analysis of algorithmic progress in pre-training language models from 2012 to 2023. | Technical Terrence
https://technicalterrence.com
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This article by Anna Rogers highlights how the term "emergence" is used in different contexts within NLP. It questions whether these properties truly exist in large language models. Read more now! #LLM
A Sanity Check on ‘Emergent Properties’ in Large Language Models
towardsdatascience.com
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The course covered fundamental concepts and techniques in NLP, including text preprocessing, sentiment analysis, and language modeling. Through hands-on projects and exercises, i have gained valuable skills in processing and analyzing textual data, demonstrating the ability to apply NLP methods to various linguistic and computational challenges. This achievement signifies a solid foundation in NLP and a readiness to leverage these skills in real-world applications. #infosys #springboard
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What is NLP anyway ? Second article on the road to LLM 🚀
[Intermediate] The road to LLM ~ What is Natural Language Processing? ~ [Day 2]
http://kbilel.com
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🚀 Excited to Share My New Medium Article: "Evolution of Language Representation Techniques: A Journey from BoW to GPT" 🚀 Diving into the fascinating world of Language Representation in NLP, this article unpacks the journey from early approaches like Bag of Words (BoW) to advanced, context-aware models like GPT. 🌐 It covers: 📌 What are Language Representations and Vectorization Techniques? 📌 Key types of language representations and how they evolved 📌 The role of Embeddings in NLP 📌 A comparative deep dive into Word2Vec, BERT, and GPT This comprehensive piece is perfect for anyone interested in how modern NLP tackles human language and the transformation of language data for better machine understanding. Huge thanks to my mentor, Kanav Bansal sir, and @Innomatics Research Labs for their guidance and support in bringing this project to life! Check out the full article here 👇https://lnkd.in/gqRkMdYJ #NLP #MachineLearning #LanguageModels #DataScience #InnomaticsResearchLabs
Introduction: The Evolution of Language Representation in NLP
link.medium.com
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Understanding Tokenization, Stemming, and Lemmatization in NLP
Understanding Tokenization, Stemming, and Lemmatization in NLP
becominghuman.ai
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💡 Learned So Much About NLP! I had the chance to explore the fascinating world of NLP, diving into how we transform text into something machines can understand. From traditional approaches like Bag of Words and TF-IDF to advanced models like Word2Vec, ELMo, BERT, and GPT, I’ve learned so much about how language representation has evolved. Feeling grateful for this learning journey and excited about the possibilities these technologies open up for the future of AI! A big thank you to Innomatics Research Labs for this experience. 🙏 https://lnkd.in/gkezDhvf
Evolution of Language Representation Techniques: A Journey from BoW to GPT
medium.com
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The videos from PyConDE & PyData Berlin are out! Check out my talk on Monolingual, Multilingual, and Cross-lingual Text Classification in April 2024 😉
⭐️ New video release 📺 Watch Daryna Dementieva's insightful presentation on navigating the complexities of monolingual, multilingual, and cross-lingual text classification to discover the best approaches based on language and data availability in the field of NLP. 📺 Watch on YouTube: https://lnkd.in/ewR2tZrY Daryna Dementieva, a postdoctoral researcher at the Technical University of Munich, delves into the world of monolingual, multilingual, and cross-lingual text classification in her upcoming talk. In 2023, the NLP field was abuzz with the emergence of powerful language models. Dementieva aims to address key questions surrounding the usability of these models for text processing tasks. She will explore whether it is more effective to fine-tune existing models or develop bespoke ones for specific languages and data availability. The presentation will offer insights into obtaining optimal text classifiers for languages like English and Ukrainian, with a focus on toxic speech, formal speech, and fluent speech detection tasks. Dementieva will compare closed- and open-source models, including BERT and RoBERTa, shedding light on the best approaches for different language contexts.
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Check it out! #MadeOnFiverr Unlock the Power of Language with Expert NLP Solutions! Are you looking to enhance your project with advanced Natural Language Processing (NLP) techniques? Look no further! I offer professional NLP services on Fiverr, designed to bring intelligent language understanding and automation to your business or research. ✨ What I Can Help You With: 1.Text analysis and sentiment analysis. 2.Language translation and summarization. 3.Chatbot and virtual assistant creation. 4.Data preprocessing and feature extraction for machine learning models. 5.Customized NLP solutions for your unique needs. Whether you’re looking to extract insights from large datasets, automate responses, or develop an NLP-powered tool, I’m here to help you achieve your goals. Check out my gig for top-tier NLP services: linkhttps://lnkd.in/d44iVcvF Let's harness the power of language to drive innovation and efficiency! 🌟 #NLP #NaturalLanguageProcessing #MachineLearning #AI #DataScience #Fiverr #LanguageTechnology #Freelance
Salihanishad: I will perform text classification and sentiment analysis using nlp for $30 on fiverr.com
fiverr.com
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