The Sandra Kublik Podcast

In this episode, I unpack the three most common blockers I keep bumping into when working with businesses on their internal AI adoption + share example techniques to address them, so you can start swapping "I'll wait till it's perfect" for hands-on wins. If you're interested in a collab, reach out at: team [at] sandrakublik.com   📌 Free resources: AI Workflow Discovery Template https://sandrakubl...

In this episode, I'm sharing 4 field-tested tools I use to establish baseline AI usage in any organization: usage stats, user surveys, one-on-one chats, and diary studies. They are a powerful combination that lets you gather and analyze data to identify training needs, understand blockers, and optimize AI tool adoption across different departments. Want to work together? If you're interested in ch...

Shopify published an internal AI memo blueprint that says: "AI is now mandatory". I've annotated the memo section by section and today I'll share takeaways I recommend to copy, to question, and to personalize for your own AI adoption playbook. Thank you for hanging out with me today! Resources: Full text of the Shopify CEO internal AI memo:  https://x.com/tobi/status/1909251946235437514   Watch th...

In this episode, I talk with Swyx, co-host of the Latent Space podcast, co-founder of the AI Engineer World's Fair conference, and founder of the AI News newsletter.  Here's what we cover: The AI Engineer Persona: What defines this new role and how it keeps evolving AI Startup Moats: What it takes to create a competitive edge as an AI startup today AI News Newsletter: Swyx walks me through his lat...

In today's episode, I chat about retrieval-augmented generation (RAG) with Naomi White, Engineering Program Manager at Cohere. Naomi shares her unique journey from starting as an Executive Assistant at DeepMind to becoming a key player in Cohere's cutting-edge RAG development team. In this episode, we cover: - Naomi's inspiring journey from DeepMind to Cohere and building a career in AI as a non-t...

In this episode, I chat about rerankers and representation models with Sylvie Shi, Rerank Team Lead at Cohere. We cover the essentials of non-generative large language models, focusing on how reranking and representation models are upgrading search and advanced RAG systems. Sylvie shares her journey into machine learning and her work on semantic search and rerankers. We chat about common use cases...

In today's episode, I chat about retrieval-augmented generation (RAG) with Ola Piktus, Member of Technical Staff at Cohere. With her roots in software engineering and significant contributions to RAG through her research, Ola has an interesting perspective on the evolution of RAG and the language technology landscape. We cover a range of topics, including the potential of RAG to address model hall...

In today's episode, I chat about the latest in Large Language Models research with Sara Hooker, VP of Cohere For AI research lab. Sara shares her experiences, from growing up in diverse cultures to leading cutting-edge AI research. We delve into fundamental ML questions, the importance of diverse linguistic representation, Aya, the open questions of multilingual models and language models in gener...

In this episode, I explore the depths of AI safety and bias with Seraphina Goldfarb-Tarrant, Head of AI Safety at Cohere. We discuss mitigating AI risks, the impact of large language models on society, and the future of responsible AI development. Seraphina shares insights on participatory design, combating misinformation, and proactive steps toward safety for businesses deploying LLMs. We also co...

In this conversation, I sit down with Elaine Gao, Product Manager at Cohere, to explore chat interfaces and building LLM-based products. We talk about creating interfaces that users love, the ethical implications of LLM products, and what the future holds for our dynamic space. Elaine also shares her journey from business school to becoming a leader in managing LLM products.   In our conversation,...