Podcast: The Shifting LLM Landscape with John Dickerson
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, John Dickerson, co-founder and Chief Scientist of Arthur AI, joins us for a conversation about the shifting large language model landscape. He’ll discuss emerging alternatives to established giants like OpenAI and Anthropic, and how these new players are impacting the market.
He’ll also explore the rise of open-source initiatives and smaller, task-specific models, tackle the challenges and benefits of specialized LLMs versus general-purpose models, and discuss the key advantages of smaller, open-source models.
Finally, he’ll dive into the details of integrating new LLM models and the cost considerations associated with those models.
Start listening now to get the full impact of John’s knowledge and insights 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, SoundCloud, and Castbox.
More Info:
- Learn more about John Dickerson at his website
- Connect with him on X.
- Learn more about Arthur AI research-driven approach and their publication library here.
- The Arthur blog https://www.arthur.ai/blog
- Explore Arthur AI Bench, a tool for evaluating LLMs for production use cases, on GitHub.
Originally posted on OpenDataScience.com
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