The current wave of generative #AI models is built on the Transformer architecture, which has been popularized by the emergence of large language models (LLMs). Despite their prominence, LLMs have inherent drawbacks and constraints. To address these issues, researchers are now focusing on developing smaller language models that could potentially revolutionize the field of generative AI. Read more. #GenAI #GenerativeAI #LanguageModels
NRI (Nomura Research Institute)’s Post
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Love seeing NRI leading the way in Market Research! Great read and it got me thinking! Here's my take: AI is booming, and language models are leading the charge. But with Small Language Models (SLMs) and Large Language Models (LLMs) on the scene, choosing the right one can be tricky. LLMs are trained on massive amounts of data, allowing them to handle a wider range of tasks and generate creative text formats. LLMs excel at complex tasks requiring deep understanding of context, like summarizing research papers or writing different creative content styles. SLMs offer Efficiency & Scalability. Their smaller size makes them faster to train, run, and deploy, especially for businesses with limited resources. Since they're trained on specific data sets, they offer greater accuracy and precision in their domain. This is ideal for specialized tasks like legal document analysis or medical report interpretation. The key? Matching the model to your needs
The current wave of generative #AI models is built on the Transformer architecture, which has been popularized by the emergence of large language models (LLMs). Despite their prominence, LLMs have inherent drawbacks and constraints. To address these issues, researchers are now focusing on developing smaller language models that could potentially revolutionize the field of generative AI. Read more. #GenAI #GenerativeAI #LanguageModels
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In this Generative AI era, understanding Large Language Models are much crucial for every AI/ML Engineers. Like wise, here is the pioneer all modern LLMs like GPT-4, Claude, Mistral, Gemini, PaLM, and LLaMA and it is none other than Transformers. Lets dive into the series of Transformers post, where we unfold each and every part of the architecture. #GenAI #LLMs #AI #ML #Deeplearning #NeuralNetworks
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Which one’s better? Math or language-based AI? Hmmmmmm.... 🤔 At Adderbee we believe that basic language is the foundation of all effective AI interaction and in order to make technology available to everyone, we are building a semantic cognitive architecture that uses basic language instead of relying on the rigidity of math. This allows our Peer-to-Peer Personal AI to be used by anyone, not just techies. Make sure you visit our website to learn more, and sign up for our waitlist to keep up-to-date: https://lnkd.in/gjutvnUf #AI #AIinnovation #peertopeer
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The "Generative AI with Large Language Models" course provides a technical deep dive into generative AI principles, transformer architectures, and prompt engineering. It covers how to effectively leverage large language models (LLMs) for complex reasoning and automated tasks. Ideal for those seeking advanced understanding of these AI concepts. #AI #GenerativeAI #LLMs #MachineLearning #DataScience https://lnkd.in/g_PhT6j6 #Coursera
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Watch our in-depth exploration of Mixtral 8x7B, the cutting-edge AI model reshaping the landscape of machine learning! Our AI expert sheds light on the evolution and details of Mixtral 8x7B, what sets it apart, and how it leverages the concept of of MoE (Mixture of Experts). Click to Watch https://ow.ly/TCTQ50QS8Hp
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Data Scientist | Harnessing 🐍 Python, ML and LangChain for Biopharma Innovation | Empowering Clinical Trials with ML and Gen AI Applications to Drive Efficiency and Impact.
🚀 Enhancing AI Responses with Advanced RAG Techniques! 🚀 Are you exploring ways to level up your AI-driven applications? Retrieval-Augmented Generation (RAG) is transforming how we approach context, accuracy, and relevance in AI responses. From smart metadata tagging to reranking and multiple data sources, there’s so much more to RAG than meets the eye. 🧠💡 In my latest Medium blog, I break down practical ways to boost your RAG systems for better outcomes and smarter insights. Whether you’re dealing with complex data or want a deeper level of response accuracy, these techniques are for you. 👉 Ready to dive in? Check it out and see how you can supercharge your LLM’s responses! #AI #MachineLearning #DataScience #LLM #RAG #TechInnovation #AIInsights #Medium
Mastering AI with Advanced RAG Techniques: Boosting Accuracy, Relevance, and Context
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🧠 An interactive tool to visualize and understand the architecture of the Transformer, integral to modern language models like GPT. The "Transformer Explainer" includes features such as: - Embedding: converting text into numbers - Self-Attention: focusing on important parts of the data - Feed-Forward Networks: processing information Users can input their own text, observe attention mechanisms, and experiment with generation temperature. This tool is beneficial for anyone interested in AI. 🔗 Try it out: https://lnkd.in/g6pZ9aU7 📽️ Watch the video: https://lnkd.in/guMuXdtR
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Grade: Grade received: 92.50% Completed comprehensive course on Generative AI and Large Language Models (LLMs). Key topics covered: Generative AI fundamentals and LLM use cases Transformer architecture and text generation Prompt engineering and generative configuration Generative AI project lifecycle Hands-on lab: Summarizing dialogue using generative AI Gained practical skills in applying state-of-the-art AI technologies to real-world scenarios. Ready to leverage these insights in innovative AI projects and applications. Skills: LLMs · Transformers · AI Prompting · AI-Lifecycle · Generative-AI
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Vietnamese-born, raised in Switzerland, now a Californian content writer, prompt crafter, photographer and explorer
The Genesis of DALL-E DALL-E 3 is the latest iteration of an AI model developed by OpenAI, designed to generate images from textual descriptions. Built upon a transformer architecture, similar to the ones used in natural language processing, DALL-E 3 has been fine-tuned to interpret and create visuals from a wide array of prompts. #ai #openai #dalle3 #promptengineering #prompt
Demystifying DALL-E 3: The Next Evolution in AI Image Generation
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
🌟 Excited to share a breakthrough in Large Language Models (LLMs) efficiency: SUBLLM. This innovation integrates subsampling, upsampling, and bypass modules, resulting in remarkable enhancements in both training and inference speeds as well as memory usage when compared to LLaMA. Find out more about this novel architecture and its impact on LLMs here: https://bit.ly/4en487x #LanguageModels #AI #Innovation
I think there is an interesting conversation to be had around parameters vs tokens and delivering smaller models that can operate on the edge. Companies have been more focused on large parameter models, but there is interesting work happening on lower parameter models with more training to produce models that compete with higher parameter in a smaller package.