Fábio Araújo @fabiotjf - Twitter Profile

LLMs, SLMs, NLP, Embeddings, Vector Databases, Tokens, LLMOps, LVMs, RAG, GPUs, GPTs, FMs, LMM, GAN, Fine-Tuning, LoRa, Prompts, Alignment... Are you feeling lost trying to understand all these AI terms? I've created a 15-day course to help you know all the core concepts of Generative AI, in just 5 minutes a day. These are the topics I cover: 𝗗𝗮𝘆 𝟭: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Overview of generative AI and its importance in business. 𝗗𝗮𝘆 𝟮: 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 Exploring different generative AI models like GANs, VAEs, and transformers. 𝗗𝗮𝘆 𝟯: 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗟 𝘃𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Comparing traditional machine learning with generative AI methods. 𝗗𝗮𝘆 𝟰: 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗚𝗣𝗨𝘀 Understanding the role of GPUs in AI and machine learning tasks. 𝗗𝗮𝘆 𝟱: 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗧𝗮𝗸𝗲𝘀 𝘁𝗼 𝗧𝗿𝗮𝗶𝗻 𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 Insights into the resources and processes for training large foundation models. 𝗗𝗮𝘆 𝟲: 𝗛𝗼𝘄 𝘁𝗼 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀 Discussing techniques for customizing foundation models for specific uses. 𝗗𝗮𝘆 𝟳: 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗟𝗟𝗠𝘀 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 - Overview of the most widely-used large language models and their features. 𝗗𝗮𝘆 𝟴: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 Exploring practical applications of generative AI across business sectors. 𝗗𝗮𝘆 𝟵: 𝗧𝗵𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝘁𝗮𝗰𝗸 Understanding the components and architecture of the generative AI tech stack. 𝗗𝗮𝘆 𝟭𝟬: 𝗧𝗵𝗲 𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 Discussing the rise and importance of small language models in AI. 𝗗𝗮𝘆 𝟭𝟭: 𝗧𝗵𝗲 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 Exploring the role, responsibilities, and required skills of AI engineers. 𝗗𝗮𝘆 𝟭𝟮: 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗔𝗜 Discussing the ethical challenges in AI development and deployment. 𝗗𝗮𝘆 𝟭𝟯: 𝗖𝗿𝗲𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 How to develop a strategic AI integration roadmap for businesses. 𝗗𝗮𝘆 𝟭𝟰: 𝗙𝘂𝘁𝘂𝗿𝗲 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗔𝗜 Exploring future developments and trends in AI. 𝗗𝗮𝘆 𝟭𝟱: 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 Providing resources and advice for continued AI learning and exploration. Sign up for FREE here: https://t.co/BlzM9XRp1y

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