Artificial Intelligence #240
Andriy Burkov
ML at TalentNeuron, author of ?? The Hundred-Page Machine Learning Book and ?? the Machine Learning Engineering book
Hey, in this issue: 80% of AI projects fail; new multilingual, high-quality language models from Microsoft; a model hallucinates a game of 1993’s Doom in real time; generative AI transformed English homework, math is next; new LLM pretraining and posttraining paradigms; and more.
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OK Bo?tjan Dolin?ek
Owner at Bremen Garments manufacturer
1 个月Good morning,Thank you for sharing !
SDE | Full-Stack Dev ?? | Java, Python, JS Expertise ?? | Problem Solver ?? | Scalable Solutions Enthusiast ?? | IT
1 个月Exciting to see the rapid advancements in AI, from Microsoft's new multilingual models to groundbreaking developments in generative AI. However, the statistic that 80% of AI projects fail is a stark reminder of the challenges we face in implementation. It's clear that while the potential is vast, successful execution requires careful planning, robust infrastructure, and continuous learning.
Founder | CEO, Einsatz Tech. LLP | ED | CFO |The One Accountant | Dubai | IIM Indore | Post Graduation | Certified Emerging CFO | Harvard Business School Boston | USA | Certified in Finance | GenAI | GS | AI Automation |
1 个月The reports indicate that a significant 80% of AI projects fail, surpassing the failure rate of non-AI IT projects. Common reasons for these failures include misaligned problem scopes, inflated expectations around generative AI, data challenges, and tech overload. Microsoft’s new multilingual, high-quality language models offer exciting possibilities for cross-border communication. Additionally, advancements in large language model (LLM) pretraining and posttraining paradigms are crucial. As a finance leader, staying informed about these trends can inform strategic decisions and enhance your capabilities.
Deliver value and vision.
1 个月Would be great to see AI in engineering and in electricity distribution networks in particular. With greater rate of Distributed Energy Resources in the grid it will be a major task in future.