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Practical AI
Fine-tuning vs RAG
Sep 6, 2023
Demetrios Brinkmann, an active voice in the MLOps community, dives into the intricacies of fine-tuning versus retrieval-augmented generation. He outlines findings from the LLM survey, sharing insights on generative AI applications and the challenges of model evaluation. The discussion highlights the need for simplicity in AI implementation and the varying adoption strategies of startups versus large organizations. Demetrios also emphasizes the importance of community engagement and diversity in tech events, making a compelling case for collaboration in MLOps.
58:07
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Quick takeaways
- LLMs enable quick prototyping and value demonstration of AI in products.
- Startups benefit from LLMs to implement AI features without extensive ML expertise, fostering growth and innovation.
Deep dives
Product Owners Embracing LLMs and Adding Value to Their Companies
One positive trend in the AI industry is the increasing number of product owners who are incorporating LLMs into their products and generating significant value for their companies. The low barrier to entry for using LLMs allows product owners to quickly prototype and demonstrate the value of AI in their products. This trend highlights the creativity and innovation that LLMs are enabling in various industries and use cases.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode