Tulsi Patro’s Post

Excited to share my latest video on "Understanding RAG: Retrieval Augmented Generation in Al". In this video, I delve into the definition, and mechanics of RAG, exploring how it enhances the responses of Large Language Models (LLMs) through real-time information retrieval. I also discuss the concepts of embedding and vector databases. This video is perfect for AI enthusiasts and curious learners alike. Watch it now to gain deeper insights into this fascinating AI advancement. https://lnkd.in/ed79Nbam #AI #RAG #GDE #gemini

Happy the share my recent article on Quantization: Run Memory efficient LLMs. #GenAI #LLMs #technology #AI

The key to unlocking the full potential of generative language models lies in their decoding strategies. Stochastic decoding techniques, such as sampling and self-consistency prompting, can enhance the creativity and diversity of model responses, leading to more accurate and imaginative outputs. These techniques also come with their own set of challenges, such as increased computational costs. But with careful implementation, self-consistency prompting has been shown to outperform other techniques in tasks such as arithmetic problem-solving and multiple-choice question answering. How can we continue to improve the performance of generative language models and overcome the challenges of stochastic decoding techniques? — Hi, 👋🏼 my name is Doug, I love AI, and I post content to keep you up to date with the latest AI news. Follow and ♻️ repost to share the information! #generativelanguagemodels #stochasticdecoding #selfconsistencyprompting

🚀 Enhancing Large Language Models with Retrieval-Augmented Generation: A Comprehensive Overview 🌐 How Retrieval-Augmented Generation (RAG) transforms LLMs by leveraging up-to-date information and domain-specific data. RAG not only improves the accuracy and relevance of responses but also provides a cost-effective solution for continuous model updates. Dive into the synergy of LLMs and RAG to revolutionize your AI capabilities! #AI #MachineLearning #NaturalLanguageProcessing #RAG #Innovation

Dive into the world of generative AI with our webinar, "Beginner’s Guide to #GenAI: #LLMs, #RAG, and more. https://lnkd.in/eM2YNCuP

Highly recommend watching this! You want to follow Pavan Belagatti if you need practical tips on building Generative AI 👑

Can AI Really Think? Or Is It Just a Statistical Model Predicting the Next Token? Check my new article on ArXiv: https://lnkd.in/dBSDYXjR The article explores how postmodern philosophy can help us rethink this question. Rather than viewing large language models (LLMs) as models of the mind, I suggest that we consider them as models of language itself—understood as a system of signs. This perspective allows us to understand why predicting the next token might be a valid approach to modeling semantic meaning, even as concepts like truth and knowledge remain uncertain. This article is a preprint, so there's still much to refine in terms of the literature review and conclusions drawn. However, one idea I find particularly intriguing is applying Jacques Derrida's critique of the bias against writing in Western thought to reconsider our understanding of LLMs. Let me know what you think!

𝗘𝘃𝗲𝗿 𝗪𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝗛𝗼𝘄 𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗜𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝘀 𝗔𝗜'𝘀 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆? 𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 in Large Language Models (LLMs) isn't just a metaphor for "hot or cold." It's a crucial factor that controls how the model selects the next word — balancing between accuracy and creativity. Ever stopped to think about the math behind it? How does temperature actually impact the output? In the document I've shared, I dive into the behind-the-scenes mechanics of how temperature works in LLMs along with an example of how temperature adjustment affects word choice. #AI #MachineLearning #ArtificialIntelligence #LLM #Temperature #TechExplained #MathInAI

Efficient Function Calling in Small-Scale LLMs: A Game-Changer for AI Reasoning Tasks Recent advancements in Large Language Models

Businesses are buzzing about language models and how they can revolutionize their operations. 🐝 Aragon explores three hot use cases in #GenerativeAI where #LLMs are already making waves 🌊 https://lnkd.in/gGBkvM6j