Andy O'Connell’s Post

MAJOR update to Meta AI !!! I cannot wait to *feel* the changes this makes to the RayBan Meta user experience. 😎 As a multilingual sales representative in the Los Angeles Market, I'm particularly excited about the impact this will make on my local Spanish and Thai speaking consumers and my high tourist traffic stores. 🙌 All LLAMA 3.1 models support English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. 🌎 #LLAMAmodels #RayBanMeta

🚀 LLaMA 3.1 405B: A Game-Changer in AI! 🌟 LLaMA 3.1 has arrived, and it's making waves in the AI world, outshining competitors like ChatGPT-4 and Claude 3.5. Why LLaMA 3.1 Stands Out: - Efficiency: Optimized decoder-only transformer architecture. - Scalability: Effortlessly handles complex tasks. - Customization: Fully customizable and fine-tunable for specific needs. - Open Source: Accessible model weights for enhanced innovation. Experience the future of AI with LLaMA 3.1 405B! https://lnkd.in/g-3nFYeF #AI #MachineLearning #Innovation #LLaMA3.1 #ArtificialIntelligence #Claude3.5 #ChatGPT4

"OpenAI’s GPT-4 Turbo is currently dominating opponents in a chatbot arena ranking large language models by their performance in a set of multiturn questions and a battery of 57 tasks.  Users can vote for the better of two large language models by asking any question and identifying a winning response. Once a user chooses the better answer, the platform reveals the selected models. More than 20 LLMs are part of the arena, including Google’s Gemini, Meta’s Llama 2 and The Technology Innovation Institute’s Falcon. The top three models in the leaderboard, created by the Large Model Systems Organization, are OpenAI models, with Anthropic’s Claude 1 and Claude 2 rounding out the top five, according to the results, which were last updated Wednesday."

Meta just released Llama 3.1, a series of models and they are awesome. This is what you should know: - Meta releases Llama 3.1 405B, the world's largest openly available AI model, rivaling (really this time!) top closed-source models in capabilities (it's as good as GPT-4o and Claude 3.5 Sonnet) - New models expand to 128K context length and support 8 languages - Llama 3.1 405B enables new workflows like synthetic data generation and model distillation - New safety tools including Llama Guard 3 and Prompt Guard

Just a moment...: RecMind, an autonomous recommender agent powered by Large Language Models (LLMs), represents a new era in personalized suggestions. It leverages planning algorithms, external data sources, and individualized data to curate tailored recommendations. The groundbreaking “Self-Inspiring” algorithm enhances its planning capabilities. RecMind excels in recommendation tasks and competes with specialized models. Explore its architecture and performance metrics at https://lnkd.in/dD3Ynj4k. - Artificial Intelligence topics! #ai #artificialintelligence #intelligenzaartificiale

Retrieval augmented generation (RAG) Retrieval augmented generation (RAG) is an architecture that provides the most relevant and contextually-important proprietary, private or dynamic data to your Generative AI application's large language model (LLM) when it is performing tasks to enhance its accuracy and performance. https://lnkd.in/eAxS8Hdv

Revolutionizing AI: The Era of 1-Bit LLMs is Here! I’m beyond excited to share my article that explores a game-changing breakthrough in AI—BitNet b1.58! Imagine a world where cutting-edge AI is not only powerful but also incredibly efficient. With BitNet b1.58, we’re taking a giant leap forward, reducing model sizes while boosting performance—all with just 1.58 bits! In this article, I unpack how BitNet b1.58 is set to redefine the landscape of large language models (LLMs) by slashing computational costs, lowering energy consumption, and still delivering top-notch accuracy. This isn’t just a step forward; it’s a quantum leap in AI technology! Curious about how this new architecture works? Or how it’s able to match full precision models in performance? Dive into the details and discover the future of AI that’s efficient, scalable, and ready to revolutionize the tech world! Don’t miss out on this exciting development—the future of AI is here and it’s more accessible than ever! Let’s ride this wave of innovation together! 🔗 https://lnkd.in/g8RAF2PR Innomatics Research Labs #AI #MachineLearning #DeepLearning #TechRevolution #AIInnovation #Quantization #BitNet #LLMs #ArtificialIntelligence #FutureTech #DataScience #NextGenAI

🚀 Is Open Source AI the Path Forward? Yes!! Says Mark Zuckerberg. 📣 Read his perspective: https://lnkd.in/dxXWtDXX With the release of Llama 3.1, open source LLMs have reached new heights, matching the performance of the best proprietary models. 🌟 🔹 The 405B parameter version of Llama 3.1 is the “first frontier-level open source AI model” available, rivaling the capabilities of closed-source models like GPT-4 and Claude 3.5 🔹 Llama 3.1 supports a context length of 128,000 tokens, allowing for more comprehensive text analysis and complex reasoning tasks. 🔹 405B model is a powerful tool for synthetic data generation, allowing users to create high-quality synthetic data to fine-tune smaller models, improving their accuracy across various domains But that's not all - they've also released an extensive research paper! MUST READ! Whether you're new to the field of LLMs or a seasoned professional, this comprehensive 92-page paper by the Llama team is invaluable: https://lnkd.in/djVTBA2b #OpenSourceAI #Llama3

Gemini AI Model by Google is a promising tool now open to the public. The large language model (LLM) capable of code generation, visual reasoning, and much more is ready. Are you? Want to know how you can use this AI-model, and its potential, read our latest blog: https://bit.ly/3GMSzHt #MoogleLabs #GeminiAIModel #GoogleAI #AIInnovation #OpenToThePublic #LLM #CodeGeneration #VisualReasoning #TechAdvancement #ArtificialIntelligence #FutureTech #TechBlog #AIApplications #InnovationUnleashed #CuttingEdgeTech #ExploreGemini #AIDevelopment #TechNews #EmergingTech #DigitalTransformation #UnlockPotential

Mistral's CEO, Arthur Mensch, has acknowledged that an eager employee from an early access client inadvertently leaked a watermarked and quantized version of an older model. This incident hints at Mistral's ongoing development of a new AI model, showcasing performance levels nearing that of GPT-4. The leaked model, identified as "miqu-1-70b," gained attention on platforms like HuggingFace and 4chan due to its exceptional performance on standard language model benchmarks. Despite the unintentional disclosure, Mensch alluded to continued progress, suggesting that Mistral is on the verge of matching or even surpassing GPT-4's capabilities in upcoming iterations. Read More: https://buff.ly/483OBVU #Technews #Technology #TechCommunity #Tech