Beth Simone Noveck’s Post

A Working Guide to Generative AI in Local Government Join us LIVE at ICMA 2024 Palm Desert for an enlightening session on the future of generative artificial intelligence (GenAI) in subnational governments! 🌐✨ We'll explore GenAI's implications for cities, states, and provinces, guided by insights from the Carnegie Endowment for International Peace California's AI policy guide. Discover how GenAI and Large Language Models (LLMs) can shape policy-making, with real-world examples from US cities actively using AI. #ICMA2024 #ArtificialIntelligence #PolicyMaking #LocalGovernance

LIVE STREAM: A Working Guide to Generative AI in Local Government Join us LIVE at ICMA 2024 Palm Desert for an enlightening session on the future of generative artificial intelligence (GenAI) in subnational governments! 🌐✨ We'll explore GenAI's implications for cities, states, and provinces, guided by insights from the Carnegie Endowment for International Peace California's AI policy guide. Discover how GenAI and Large Language Models (LLMs) can shape policy-making, with real-world examples from US cities actively using AI. #ICMA2024 #ArtificialIntelligence #PolicyMaking #LocalGovernance

LIVE STREAM: A Working Guide to Generative AI in Local Government Join us LIVE at ICMA 2024 Palm Desert for an enlightening session on the future of generative artificial intelligence (GenAI) in subnational governments! 🌐✨ We'll explore GenAI's implications for cities, states, and provinces, guided by insights from the Carnegie Endowment for International Peace California's AI policy guide. Discover how GenAI and Large Language Models (LLMs) can shape policy-making, with real-world examples from US cities actively using AI. #ICMA2024 #ArtificialIntelligence #PolicyMaking #LocalGovernance

I've just published Part-II of Week 1 for our "Unlocking the Power of Large Language Models (LLMs)" series on Medium! This week, we delve into the nuances of domain-specific adaptations of LLMs. From Domain-Specific Pre-Training to Fine-Tuning and Retrieval Augmented Generation (RAG), we explore how these methodologies enhance the capabilities of LLMs within specialized fields. Whether you're interested in finance, healthcare, or any other sector, understanding these adaptations can significantly enhance how you leverage AI technologies. 🔍 In this section, we discuss: - The need for domain-specific adaptations in LLMs. - Detailed comparisons of Domain-Specific Pre-Training, Fine-Tuning, and RAG. - Practical applications and the pivotal role of these models in enhancing user experiences and operational efficiency. I invite you to read the blog and share your thoughts. Your insights and suggestions are invaluable as we continue to explore and demystify the complexities of LLMs. Let's dive deeper into the world of LLMs together! Your feedback is crucial in shaping our discussions and future content. Looking forward to hearing your thoughts and discussions! Let's explore together. #AI #MachineLearning #LargeLanguageModels #Technology #Innovation #DomainSpecificModels 👀 Read the blog here: 👇

Check out Harpreet Sahota 🥑’s break down of the five vision-language papers you do not want to miss at #CVPR this year! - https://lnkd.in/gpBJ9xgZ * Describing Differences in Image Sets with Natural Language * A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models * Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation * Alpha-CLIP: A CLIP Model Focusing on Wherever You Want * mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Check out Harpreet Sahota 🥑’s break down of the five vision-language papers you do not want to miss at #CVPR this year! - https://lnkd.in/gpBJ9xgZ * Describing Differences in Image Sets with Natural Language * A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models * Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation * Alpha-CLIP: A CLIP Model Focusing on Wherever You Want * mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

For anyone in the UK interested in generative AI. On November 21st, the House of Lords will have a debate on their Communications and Digital Committee report: 'Large language models and generative AI'. This appears to be a link to their most recent report: https://lnkd.in/em-Hrd6b #genai #debate

🏆 Unveiling the Champions: Top Large Language Models (LLMs) of 2024 Ever wondered which LLMs are leading the pack in artificial intelligence? Look no further! This insightful eWEEK article dives into the best Large Language Models (LLMs) of 2024, highlighting their strengths and unique capabilities. In this article, you'll discover: 🔍 Key features and functionalities of top LLMs like Gemini (yours truly!), Claude 3, and more. ✍️ How these AI powerhouses can enhance various aspects of your work, from content generation to data analysis. 🤔 What differentiates each LLM and which one might be the perfect fit for your needs. Are you ready to explore the potential of LLMs? Read the full article here: eWeek - Best Large Language Models: https://lnkd.in/gWzB62k5 #AI #LLM #LargeLanguageModels #ArtificialIntelligence #eWeek #FutureofWork P.S. Feel free to share your experiences or ask questions about LLMs in the comments! I'm here to help. 💬

📈 LoRA and QLoRA: Driving Innovations in Language Models LoRA and QLoRA are at the forefront of innovation in the world of large language models (LLMs). These techniques are redefining how we approach fine-tuning, offering new pathways for efficiency and scalability. LoRA: Reduces parameter count, making fine-tuning accessible and cost-effective. QLoRA: Combines quantization with low-rank adaptation, ensuring high performance with lower resource usage. The integration of these methods is crucial for the future of AI, enabling the development of smarter, faster, and more efficient language models. Join the conversation and explore how these advancements can benefit your projects! 🤖 #ArtificialIntelligence #LoRA #QLoRA #MachineLearning #TechInnovation #LLM

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