Podcast: Large Language Models — Strategies and Best Practices with Sinan Ozdemir
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
In this episode, Sinan Ozdemir, AI & LLM Expert, Founder, CTO at LoopGenius, and the author of The Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs joins the podcast to discuss his book, as well as common questions and challenges that arise when working with LLMs.
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Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.
You’ll hear about many different aspects of LLMs, including
- Which applications have the most potential
- How to improve semantic search with LLMs
- Which factors to consider when choosing an LLM for a specific task
- Multimodal models and how they work
- And more
Sinan Ozdemir also spends some time on technical deep dives, with a particular focus on the importance of prompt engineering and fine-tuning in optimizing the performance of LLMs. He also explores the technical and logistical hurdles faced by organizations deploying LLMs in production environments.
Finally, Sinan Ozdemir looks toward the future of LLMs and gives his predictions on what the next year will bring for this tool and what people and organizations can do to prepare for future advancements.
Start listening now for a deep dive into LLMs with a leading expert and don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, and SoundCloud.
Originally posted on OpenDataScience.com
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