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Are large language models the only way forward for AI? In the latest episode of the AI Monetisation Podcast, Nicholas (Nick) Fuller (VP, AI & Automation at IBM Research) breaks down how IBM is driving real-world impact with tiny, fit-for-purpose AI models. He explains how IBM's tiny mixer models are turning the tables on large, generalized models and why they’re more effective than massive LLMs for enterprise use cases. Key takeaways from the episode include- 1. Understanding how smaller, domain-specific models often deliver greater precision and cost-efficiency than large language models (LLMs). 2. Role of "Guardian Models" in building trust by ensuring safety, privacy, and data provenance in AI systems. 3. Why co-creating AI solutions with enterprise teams is key to accelerating deployment and adoption of AI at scale. Listen to the full podcast to learn how IBM is building AI that’s efficient, explainable, and enterprise-ready: https://bit.ly/4lvZLL8 #largelanguagemodels #aipodcasts #techpodcasts #ai #llms

How do you move from learning about LLMs to actually building them? These beginner-to-advanced LLM project examples show you the way. We’ve rounded up 40 real-world enterprise-grade LLM project ideas you can try today- https://bit.ly/4lpsP6P #llms #largelanguagemodels #generativeai #ai #llmprojects

If you’ve got an AI or ML interview coming up, expect a bunch of tricky technical questions. We’ve pulled together 50+ real AI interview questions that candidates actually need to prepare for and are perfect for brushing up before the big day - https://bit.ly/4cphbVv #AIInterviews #JobInterviews #artificialintelligence #AIJobs #AIEngineer

How much operational success in logistics is driven by automation? In the latest episode of the AI Monetisation Podcast, Gary K., VP of Transportation at Weber Logistics, explains how technology is the secret ingredient behind the "better, faster, cheaper" logistics model. He also discusses - Importance of identifying time-saving opportunities through automation. Automation to eliminate manual processes and improve efficiency. Viewing AI as a strategic tool for achieving operational excellence. Valuing a "scattergram" approach to problem-solving. Mastering the complexities of process optimization with AI automation. Listen to the episode here: https://bit.ly/4iPFsGE

Having a tough time making your AI portfolio stand out? Landing an AI job isn’t just about what you know—it’s about showing what you can do. The best way? Build real, enterprise-grade projects that prove your expertise and skills. Here are some must-try AI projects to help you create a portfolio that gets you hired. https://bit.ly/4jd6hEz #artificialintelligence #ai #generativeai #machinelearning #deeplearning

Learning data science alone feels like hauling a giant spellbook—heavy, confusing, and full of pages you don’t know where to start with. But with the right mentor? It’s like floating straight to your goal. At ProjectPro, you get 1:1 industry expert guidance and real-world enterprise-grade projects—so you learn by doing, not just reading. Skip the struggle and start building today: https://bit.ly/3DSBWMD #ai #datascience #generativeai #studioghibli #openai

How much of your food's journey from field to fork is influenced by AI? Discover how AI has evolved from basic statistics to powerful predictive tools. In the latest episode of the AI Monetisation podcast with Patricio Salvatore La Rosa, Decision Science Leader at Bayer, we explore 20 years of AI advancements impacting agriculture. Patricio discusses: 1. Evolution of AI from computational limitations to cloud-powered solutions. 2. The impact of AI on precision agriculture and early medical diagnosis. 3. The delicate balance between AI autonomy and human augmentation. 4. The critical role of data quality and robust infrastructure in achieving AI success. Tune in to the full conversation here: https://bit.ly/42hLqu3

Fine-tuning an LLM is the secret weapon of top AI engineers! But how does it work? Watch this video to learn the best practices for fine-tuning a model. Fine-tuning lets you: 1. Adapt models to specific domains 2. Improve accuracy and efficiency 3. Reduce hallucinations It might sound complex, but this blog breaks it down into simple steps - https://bit.ly/4iLkQ28 #llms #artificialintelligence #largelanguagemodels #generativeai #ai

If you don’t understand AI agents in 2025, you’re already behind. Most people get it wrong. This short video gives you the clearest, most practical definition of it. Want to build AI agents? Start with ProjectPro’s Agentic AI Roadmap - https://bit.ly/3FwXuP7 #artificialintelligence #agenticai #aiagents #ai #generativeai

How much of your burger experience is driven by AI? Discover how data is the secret ingredient behind your perfect burger. In our latest episode of the AI Monetisation Podcast, Jolanta Oliver, MBA—Strategic Insights | AI, ML, Data Enabler | CX Advisor, with experience at Kraft Heinz and McDonald’s—explains how AI transforms consumer insights into fast-food success. She shares how top brands gather real-time feedback, analyze trends, and continuously refine their menus to stay ahead. Key takeaways: • The critical importance of understanding consumer needs and behaviors • Using AI to solve specific business problems—not to replace human insight • Viewing AI as a powerful tool for innovation • Valuing experimentation and iteration • Mastering the complexities of consumer insights Catch the full conversation here - https://bit.ly/3DsKgCB #artificialintelligence #ai #generativeai #genai #aipodcasts