Just finished reading “AI Snake Oil” by Princeton professors Arvind Narayanan and Sayash Kapoor. This eye-opening book cuts through the hype around AI, clearly explaining what AI can and can’t do. The authors make a compelling case for why we should be skeptical of many AI claims, especially in predictive applications. They offer practical advice for identifying AI snake oil and understanding AI’s real capabilities and limitations. A must-read for anyone trying to navigate the complex world of artificial intelligence! #AISnakeOil
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Should we use Claude 3 Opus for summaries...? Here's an intriguing update from the AI field that caught my eye: >> A recent research study evaluated several AI models on their ability to synthesize information from 26 books. The standout performer was Claude 3 Opus, the $20/month service, which outshined its peers including GPT-4, Mixtral, and GPT-3.5 Turbo in generating accurate summaries. What's particularly impressive about Claude 3 Opus is its capability to process an extensive amount of content, roughly equivalent to 500 pages. This finding could have significant implications for how we leverage AI for content synthesis and analysis. Thought it was worth sharing with you all! #AIResearch #Claude3Opus #TechnologyAdvancements
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Mastering LLM Techniques: Inference Optimization Optimizing inference systems is a critical challenge in Generative AI. Based on my experience, this article serves as a comprehensive guide for those facing inference optimization issues. Key takeaways include: 1. Efficiency and Memory Reduction: Techniques focus on improving system efficiency and minimizing memory usage. 2. Optimization Methods: Key methods include optimizing both the prefill and decode phases of the inference process. https://lnkd.in/dBxBCTBB https://lnkd.in/dVNDjERM #genai #AI #LLMs #Multimodal #ArtificialIntelligence #MachineLearning #DeepLearning #DataScience #TechInnovation #BigData #AIResearch #AICommunity #AITrends #Interview
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Understanding RAG in Generative AI (GEnAI) In the ever-evolving world of AI, Retrieval-Augmented Generation (RAG) is a game-changer! What is RAG? - RAG combines the best of both worlds: retrieval-based and generation-based models. Here’s a simple breakdown: -Retrieval: The model searches through vast databases to find relevant information related to your query. -Generation: Using this retrieved information, the AI generates accurate and contextually relevant content. Why is this important? -By leveraging external knowledge, RAG enhances the quality and precision of AI-generated text, making it smarter and more reliable! #ArtificialIntelligence #MachineLearning #GenerativeAI #RAG #Innovation #TechRevolution
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📢 New Blog Post Alert! 📢 Check out our latest post on "Learning Guided Automated Reasoning: A Brief Survey" where we delve into the fascinating world of automated theorem provers and formal proof assistants. We explore how these reasoning systems can be guided by trained machine learning predictors to enhance their performance. If you're keen on learning about the intersection of automated reasoning, theorem proving, and AI methods, this insightful overview is a must-read. Join the conversation and broaden your understanding of premise selection, proof guidance, AI systems, and symbolic classification problems. Read the full article here: https://bit.ly/3wROm3e #AutomatedReasoning #MachineLearning #TheoremProving #AI #LinkedinUpdate
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OpenAI reveals "Strawberry" a groundbreaking AI model that reasons step-by-step through complex problems. Unlike its predecessors, this new system doesn't just generate answers—it thinks them through, mirroring human cognitive processes. Outperforming even GPT-4 in areas like advanced mathematics and sciences, Strawberry represents a paradigm shift in AI development. This innovation suggests that the future of artificial intelligence lies not just in scaling up existing systems, but in fundamentally reimagining how machines approach problem-solving. . . . #OpenAI #StrawberryModel #AI #ArtificialIntelligence #Innovatio #MachineLearning #Technology #AdvancedAI #FutureOfAI #AIResearch #AIDevelopment #supremetech
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It's no secret at AI has taken the world by storm over the past couple of years. Here at INFORM we've been in the AI space for decades now 😉, but there is always much to learn and discover as it evolves. So this Artificial Intelligence Appreciation Day, I thought I'd share my top 3 favorite AI-related books that I've read (so far). I've reviewed a few on here already, but some may be new to you... 3. Our Final Invention 2. Life 3.0: Behing Human in the Age of AI 1. The Business Case for AI #AI #ArtificialIntelligenceAppreciationDay #AIDay #WorldofINFORM
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Can artificial intelligence ever match human intelligence? In his latest article, Ihar Rubanau, Senior Data Scientist at Sigma Software Group, explores this intriguing question through the Artificial General Intelligence (AGI) lens. Ihar unpacks the complexities of AGI, examining what truly sets human intelligence apart and where AI stands today. With AI models like GPT evolving rapidly, he discusses their potential and limits—how far have we come, and how much remains a mystery? Read the full article to dive into the possibilities and challenges of AI’s next frontier: https://lnkd.in/dyiYDhmb #SigmaSoftware #AI #ArtificialIntelligence #AGI #MachineLearning #Innovation #GPT
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Can AI ever match human intelligence? In his latest article, Ihar Rubanau, Senior Data Scientist at Sigma Software Group, delves into this question through the lens of Artificial General Intelligence (AGI). He explores the complexities of AGI, highlighting what makes human intelligence unique and where AI stands today. With models like GPT advancing quickly, Ihar discusses both their potential and limitations. Read the full article to explore the future of AI
Can artificial intelligence ever match human intelligence? In his latest article, Ihar Rubanau, Senior Data Scientist at Sigma Software Group, explores this intriguing question through the Artificial General Intelligence (AGI) lens. Ihar unpacks the complexities of AGI, examining what truly sets human intelligence apart and where AI stands today. With AI models like GPT evolving rapidly, he discusses their potential and limits—how far have we come, and how much remains a mystery? Read the full article to dive into the possibilities and challenges of AI’s next frontier: https://lnkd.in/dyiYDhmb #SigmaSoftware #AI #ArtificialIntelligence #AGI #MachineLearning #Innovation #GPT
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🚀🔥 Exciting News in AI Research! DeepMind and USC researchers have just unveiled SELF-DISCOVER, a groundbreaking framework that elevates LLM reasoning to new heights, surpassing traditional methods by up to 32% when tackling tasks with models like GPT-4. 🌟🧠 This two-stage framework empowers LLMs to independently form and leverage reasoning structures, unlocking a whole new level of problem-solving capabilities in AI. 🤖💡 Could this be the game-changer AI has been waiting for? 💭 Stay updated on the latest AI breakthroughs by visiting my personal website: https://medinai.carrd.co/ 🌐✨ #AI #Research #DeepMind #USC #LLM #ArtificialIntelligence #Innovation #TechNews #FutureTech 🤖🧬🔬
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1wnow days many are living by selling snake oil