NoCode 4 Change’s Post

Ever wondered how to handle massive amounts of social media data with ease? Michael Jancen-Widmer is a German-based engineer who has been involved in tech development for over 7 years. In AI, he is a former engineer from Aleph Alpha, an OpenAI competitor that researches, develops, and "operationalizes" large AI systems toward generalizable AI, offering GPT-3-like text, vision, and strategy AI models. Join us as Michael Jancen-Widmer, a maestro in AI, reveals the secrets of processing social media posts at scale using LLMs. Fact: Aleph Alpha just announced a $500M series B to challenge OpenAI in EU. Get ready to transform your approach to social media analytics and strategy based on AI. #SocialMediaAI #TechInnovation https://buff.ly/481d12z

🌟 Latest news in AI Tools Up Weekly Update! 🌟 🧠 OpenAI’s GPT-5: Expected to achieve Ph.D.-level intelligence by 2026. Get ready for groundbreaking advancements in AI capabilities! 🖼️ Grok & Midjourney Integration: Exciting news as Grok explores integrating with Midjourney, promising enhanced visual AI experiences. 🏢 Stability AI: Welcomes new leadership to drive innovative AI solutions and future growth. 🤖 OpenAI’s Co-Founder: Embarks on a new venture, aiming to push the boundaries of AI technology even further. 💼 OpenAI Acquires Rockset: A strategic move to bolster its enterprise AI offerings and strengthen its position in the market. 💡 AI Tutorial: Discover how to search smarter with Perplexity’s Focus feature. Enhance your search results and dive deeper into the information you need. Stay tuned for more updates and innovations in the AI world! #AI #OpenAI #GPT5 #StabilityAI #Midjourney #Rockset #Perplexity #Innovation #TechNews #AIUpdate #ArtificialIntelligence https://lnkd.in/gbcnqh4s

✖️ Scale AI Sets New Benchmarks for AI Mathematical Reasoning ➗ Scale AI has released a groundbreaking paper that introduces new benchmarks for testing AI models' mathematical reasoning abilities. This initiative represents a significant step forward in our understanding and evaluation of AI capabilities. Key Updates: 1️⃣ New Benchmark Creation: Scale AI developed a thousand new math questions to test AI without prior data exposure, addressing concerns about data contamination that could skew results. 2️⃣ Revealing Insights: Early tests show established models performing inconsistently on new questions, highlighting gaps in current AI training methodologies. 3️⃣ Future Applications: The insights from these benchmarks are expected to guide future AI training and development, pushing for models that can perform more consistently across various domains. Implications for AI Development: - These new benchmarks are set to become a crucial tool in assessing AI models, offering a clearer picture of their learning capabilities and limitations. - The development of more robust and adaptable AI models could accelerate innovation across industries, including education, finance, and technology. 💬 Discussion Point: What impact do you think these new benchmarks will have on the future of AI development? How can developers utilize these insights to create more effective AI models? 🔗 Learn more about this here: https://lnkd.in/dhrWB4mm 🔄 Join the discussion and share your views on the evolving standards of AI performance evaluation! #AI #ScaleAI #MachineLearning #AIdevelopment #TechnologyInnovation