Machine learning scientist, author, and LLM developer Maxime Labonne talks with Ben and Ryan about his role as lead machine learning scientist, his contributions to the open-source community, the value of retrieval-augmented generation (RAG), and the process of fine-tuning and unfreezing layers in LLMs. The team talks through various challenges and considerations in implementing GenAI, from data quality to integration. https://stackoverflow.blog/2024/03/08/a-leading-ml-educator-on-what-you-need-to-know-about-llms/
Ak chcete pridať komentár, prihláste sa
Ostatné príspevky v tejto skupine
Ryan talks with senior engineering manager Caitlin Weaver about how her childhood fascination with computers led to her leading CLEAR’s Cloud Infrastructure Engineering team, her experiences in DevOps
An update to the research that the User Experience team is running over the next quarter. https://stackoverflow.blog/2025/02/20/research-roadmap-update-february-2025/
How a theater major became a fullstack engineer building software to manage climate change. https://stackoverflow.blog/2025/02/19/wbit-4-using-gis-to-understand-the-rivers-and-the-lakes-that-you-re-u
Minh Nguyen, VP of Engineering at Transcend, joins Ryan for a conversation about the complexities of privacy and consent in tech, from the challenges organizations face in managing data privacy to the
Ken Stott, Field CTO of API platform Hasura, tells Ryan about the data doom loop: the concept that organizations are spending lots of money on data systems without seeing improvements in data quality
APIs have steadily become the backbone of AI systems, connecting data and tools seamlessly. Discover how they can drive scalable and secure training for AI models and intelligence automation. https://
Can your database handle a billion customers per month? https://stackoverflow.blog/2025/02/12/a-distributed-database-that-can-withstand-a-meteor-strike/
