Properlytest’s Post

OpenAI’s recent release of the o1 series of large language models (LLMs) has reignited discussions about artificial general intelligence (AGI). Marketed as embodying a closer approximation to human reasoning, o1 has advanced capabilities like chain-of-thought (CoT) prompting, allowing it to break down problems into smaller steps for effective problem-solving. Despite its strengths, including its exceptional performance in challenging mathematics exams, researchers argue that o1 and other LLMs remain limited in achieving true AGI. These models excel in narrow tasks but struggle with abstract reasoning, planning, and adapting to novel situations—hallmarks of human cognition. The road to AGI involves significant hurdles, including the depletion of training data and inherent limitations of current neural network architectures like transformers. Researchers are exploring innovative solutions, such as feedback integration, generative flow networks, and world-model-building systems, to enable AI to simulate, reason, and adapt autonomously. While achieving AGI may still be years away, experts agree that such systems could transform problem-solving across domains like climate change and healthcare. However, with this potential comes the need for rigorous safety measures and ethical guidelines to ensure AGI serves humanity responsibly. #ArtificialGeneralIntelligence #AGI #AIInnovation #OpenAI #LargeLanguageModels #AIResearch #ChainOfThought #EthicalAI #WorldModels #AIandSociety #ArtificialIntelligence #FutureOfAI #TechEthics #DeepLearning Article Link: https://lnkd.in/gEKetJ2y

Researchers from New York University trained an AI model on just a fraction of what a child experiences in their first two years and found that the model could learn a substantial number of words and concepts—just like a child would. Using headcam video recordings capturing only 1% of a child’s waking hours, the team showed how AI can link words to visuals, offering new insights into early language acquisition. This study challenges long-held beliefs about how much data is needed for effective learning and opens the door to better understanding how children develop language skills. This research not only highlights the power of AI but also brings us closer to understanding the mysteries of human learning. Learn more: https://lnkd.in/eDTR4cAK

That's for English language ONLY. There are six official UN languages, and many more other non-UN human languages. Also, written words must be very accurate, especially for legal and safety issues. AI can't meet this requirement. Let's try an accurate fact-check question: "Is there any AI data products you know, that can interpret and answer the following humble but realistic Chinese-English multilingual questions?" With our IP, a copyrighted multilingual metadata, we can provide real time answers for policy/decision making as evidence. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Metadata is an enabler to let us find the data we want. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, NVIDIA chips, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your information service UNIQUE in the world.

📚 Learning Journey Update! I’m delighted to announce that I’ve completed the Introduction to Large Language Models: Prompt Engineering course! This comprehensive course has enhanced my understanding of prompt engineering and its critical role in leveraging the power of large language models. Excited for the opportunities ahead to apply this knowledge and contribute to groundbreaking AI projects. #LargeLanguageModels #AI #ContinuousLearning #PromptEngineering

🚀 Join Our AI Research Team! 🚀 ZySec AI is seeking exceptional talent for cutting-edge research in AI, ML, and Generative AI. Be a part of our mission to revolutionise cybersecurity and AI. #ai #ml #genai #cybersecurity #techinnovation #researchopportunity #cyberpodai #zysecai #joinourteam #hiring #llmresearch #llm #cybersecurityawareness #cybersecuritytraining #cybersecuritynews

#ScienceInTheAgeOfAi #LanguageModels Large Language Models don't reason… Love, Apple. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models https://lnkd.in/epifAjNY The study uncovered some surprising limitations. For example, when only the numbers in a question are changed, the models’ performance drops significantly. Additionally, when the complexity of questions is increased by adding extra clauses, even if the clauses don’t affect the final answer, performance declines by as much as 65%. This suggests that the models aren't really "thinking" through the math—they’re repeating patterns from their training data. Ultimately, the study shows that while LLMs seem to be getting better at math, they still struggle with true logical reasoning, especially as problems become more complex. #AI #LLM #machinelearning #machinereasoning #mathematics

Decoding Math Notes: Apple's Latest Feature on iPadOS 18 and Uncovering VLMs Welcome to the first post of ML Digest! In this series, brought to you by KDAG and Chi SquareX, we’ll explore the latest in machine learning, AI, and their impact on the world. Our goal is to make cutting-edge tech accessible and spark discussions that push the boundaries of innovation. In this inaugural post, we dive into Apple’s new iPadOS 18 feature that decodes math notes using Vision Language Models (VLMs). This technology combines computer vision with natural language processing to interpret handwritten math, enhancing educational tools and user experiences. Discover how Apple’s integration of VLMs is setting the stage for the future of AI-driven learning. Read the full blog here: https://lnkd.in/gt_sKQYQ #MLDigest #AI #KDAG #CSX #MachineLearning #iPadOS18 #VLMs #TechInnovation #Apple #EdTech

🌟 Unlocking the Secrets of Large Language Models! 🌟 Have you ever wondered how large language models like GPT-3 actually work? 🤔 Their inner workings often seem like an impenetrable black box—but not anymore! 💡 Brendan Bycroft’s LLM Visualization is a groundbreaking tool that allows you to explore the deep, complex architecture of a GPT-style LLM in stunning 3D. Imagine stepping into the neural network itself, seeing every layer, and understanding how these models process and generate language. 🚀 Here’s why this is a game-changer: ✅ Clarity: Simplifies the intricate computations of LLMs, making them accessible to learners, developers, and innovators. ✅ Innovation: Enables researchers to better understand and build upon existing models. ✅ Engagement: Perfect for educators to visualize and teach the mechanics of AI at a granular level. This tool bridges the gap between theory and practice, making cutting-edge AI approachable for everyone. Whether you’re an AI enthusiast, developer, or entrepreneur, this is an opportunity to demystify the magic of LLMs and spark innovation like never before. 🔗 Check it out here: https://bbycroft.net/llm 🎥 Watch the demo: Below Let’s make AI education accessible and inspire the next wave of innovation! Share your thoughts—how will YOU use this tool? 👇 #AI #MachineLearning #LLM #Innovation #AIVisualization #OpenAI #DeepLearning

🚀 The Speed of Thought: Harnessing the 𝐅𝐚𝐬𝐭𝐞𝐬𝐭 𝐋𝐋𝐌 𝐰𝐢𝐭𝐡 𝐆𝐫𝐨𝐪’s LPU The world of artificial intelligence is witnessing a seismic shift, where the speed and power of Large Language Models (LLMs) are reaching unprecedented levels. At the forefront of this revolution stands Groq, whose Language Processing Unit™ (LPU) is shattering records and redefining the future of AI language applications. Groq is relentlessly pushing the boundaries of LLM technology. We can expect even greater performance gains and wider applications as they continue to refine their LPU technology. The possibilities in AI language processing seem endless! Ready to dive deeper into the future of AI language processing? Join the upcoming webinar, "Revolutionizing LLM Performance with 𝐆𝐫𝐨𝐪’𝐬 𝐋𝐏𝐔 , The register link is in the comment below. Thanks to SingleStore for sharing these Knowledge sessions with the communities. Decoding Data Science #ai #data #tech #llm

⭐ Join us for our upcoming webinar 'Bias Detection in Large Language Models - Techniques and Best Practices' 🗓 Date: Wednesday, October 30th ⏰ Time: 10am PDT/1pm EDT/ 5pm BST Large Language Models are AI systems widely used in fields like software, research, and education, but their use raises concerns about bias, which can lead to unfair decisions and perpetuate inequalities. This webinar will discuss bias detection in both traditional machine learning and LLMs, focusing on policies like NYC Bias Local Law 144 and research from Holistic AI on addressing these issues. Register now: https://lnkd.in/e4rJiuav   #Webinar #LLM #AIBias #BiasDetection #LLMBias #AIGovernance #ArtificialIntelligence #EthicalAI