Least Squares’ Post

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

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

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

Cartesia AI Released Rene: A Groundbreaking 1.3B Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications Cartesia AI has made a notable contribution with the release of Rene, a 1.3 billion-parameter language model. This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a mileston... https://lnkd.in/eVFw2tFS #AI #ML #Automation

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

𝗥𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 ? In this brief teaser video, we showcase upcoming research utilizing Large Language Models to streamline the setup process for complex simulations by bypassing various menus and dialog boxes. The amazing advancements in Large Language Model (LLM) techniques will further boost the democratization of simulation by simplifying setup and use. #Reaseach #LLM #AI #artificialingelligence #simulation

The future of multimodal large language models is here - Uni-MoE is revolutionizing AI development! Uni-MoE is a unified multimodal large language model with a MoE architecture that efficiently handles multiple modalities and experts, while reducing computational costs. With its sparse Mixture of Expert layers, the Uni-MoE framework boosts training and inference efficiency, while its progressive training strategy enhances generalization and multi-expert collaboration. How can we apply Uni-MoE in AI scenarios to develop powerful and efficient models? — 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! #unimoeframework #multimodallanguagemodels #aiinnovation

🧠 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

Precise analysis Jim Fan. However, there are some areas where LLaMA-3 could outperform GPT-4: 1. Efficiency 2. Customization and flexibility 3. Access and use in research 4. Use of resources