Swapnil Yande’s Post

Intuitive AI Study Club - Large Languagel Model Systems An overview of how Large Language Models Work better with Additional Components https://lnkd.in/g7rx4QyK Join the discussion at https://lnkd.in/giup6MDu

Check out the third installment of our research series that explores the technical foundations behind Atom Ai, a #GenAI-powered chatbot developed to increase productivity and spark innovation. In Part 3, we'll cover the augmentation and generation aspects of the retrieval-augmented generation (#RAG) framework for training large language models (#LLMs), including key concepts, innovative ideas and best practices pertaining to each: http://ms.spr.ly/6047mgvTx

#22 Ai Tool Of The Day 🌐 claude.ai: https://lnkd.in/ggJjBHzc 📌Claude is a series of large language models developed by Anthropic. Claude was trained on huge datasets, from sources such as the internet, and various licensed datasets. #ClaudeAI #ArtificialIntelligence #TechInnovation #SmartTech #AIRevolution #MachineLearning

Are you looking to implement AI-driven solutions in your organisation but concerned about the high costs and complexity? Look no further! The combination of vector databases and large language models (LLMs) has revolutionised the development of custom generative AI solutions. Learn more: https://zurl.co/gKJF #EnterpriseSolutions #DigitalTransformation

🚀 Exciting Read Alert! 🚀 Curious about AI agents and how they tackle the limitations of Large Language Models (LLMs)? This insightful article from The New Stack dives into the key concepts and advancements that are revolutionizing the field. Don't miss out on understanding the future of AI technology! 🤖✨ "These agents extend the functionality of LLMs by incorporating mechanisms (e g.RAG) to interact with digital environments, make decisions and execute actions based on the language understanding derived from the LLM." 👉 Read more: https://lnkd.in/ewRqK7z9 #AI #Technology #Innovation #LLM #FutureTech #ArtificialIntelligence #RAG

🚀 Curated LLM Reading List 🚀 Curious about Large Language Models but overwhelmed by the noise? I’ve compiled a comprehensive reading list of links that cuts through the hype and focuses on practical, no-nonsense resources. 🔗 Explore foundational concepts, building blocks, production deployment, and more, all explained through accessible materials without vendor-driven content. 💡 Whether you're just starting out or deploying models in production, this list has you covered with: - Pre-Transformer models - Core papers like **Seq2Seq**, **BERT**, and **GPT-3** - Significant OSS models like **Llama2** and **Mistral7B** - Key concepts around **tokenization**, **fine-tuning**, **RLHF**, and much more! Check it out here: [LLM Reading List](https://lnkd.in/dGaaXKFk) Let’s dive into the world of LLMs together and embrace a more grounded, informed approach to the AI landscape. #LLM #AI #MachineLearning #DeepLearning #AIinProduction #GenerativeAI #LLMReadingList

Are you looking to implement AI-driven solutions in your organisation but concerned about the high costs and complexity? Look no further! The combination of vector databases and large language models (LLMs) has revolutionised the development of custom generative AI solutions. Learn more: https://zurl.co/QCK5 #EnterpriseSolutions #DigitalTransformation

While the spotlight is often on massive AI models, a revolution is unfolding with small language models (SLMs). Advancements in model compression, knowledge distillation, and retrieval-augmented generation (RAG) have enabled SLMs to access external knowledge bases on demand, maintaining agility without storing vast amounts of data. This evolution results in AI that’s not only smaller but also specialized and lightning-fast. In this week's edition of the Eureka newsletter, we explore how leading companies are rapidly adopting SLMs and the developments driving this transformation. Check out some of the highlights from this week's edition and subscribe now to stay ahead of the curve: https://lnkd.in/g7-5FTQs

🚀 Exciting News Alert! Join us at #Conf42 for an illuminating discussion on Superposition in Large Language Models (#LLMs) 🌐https://lnkd.in/eyntyHYa 🌟 Dive into the realm of advanced AI and explore how Superposition is shaping the future of feature representations! Don't miss out on this opportunity to delve into the cutting-edge of AI-driven innovation! See you there! 🎉 #TechConference #AI #Innovation #DataScience #MachineLearning #TechTalk #DigitalTransformation #FutureTech #EmergingTech #ArtificialIntelligence #TechInnovation #Conference #Technology #Inspiration #KnowledgeSharing #DataDriven #TransformativeTech #DeepLearning #SmartTech #StayCurious 🌟