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Thinking Machines: AI & Philosophy

Thinking Machines: AI & Philosophy

Veröffentlicht: 2024-05-24
© 2024 Daniel Reid Cahn
Thinking Machines: AI & Philosophy - QR Code
22 Folgen
Audio
Anhören auf Apple Podcasts
22 Folgen
Audio
Anhören auf Apple Podcasts
Veröffentlicht: 2024-05-24
© 2024 Daniel Reid Cahn
Aktuelle Folge
The Future is Fine Tuned (with Dev Rishi, Predibase)

The Future is Fine Tuned (with Dev Rishi, Predibase)

Länge: 52:28
Dev Rishi is the founder and CEO of Predibase, the company behind Ludwig and LoRAX. Predibase just released LoRA Land, a technical report showing 310 models that can outcompete GPT-4 on specific tasks through fine-tuning. In this episode, Dev tries (pretty successfully) to convince me that fine-tuning is the future, while answering a bunch of interesting questions, like:
Is fine-tuning hard?If LoRAX is a competitive advantage for you, why open-source it?Is model hosting becoming commoditized? If so, how can anyone compete?What are people actually fine-tuning language models for?How worried are you about OpenAI eating your lunch?I had a ton of fun with Dev on this one. Also, check out Predibase’s newsletter called fine-tuned (great name!) and LoRA Land.
Folgen-ID: 1000656639757
GUID: 555c342d-12cb-47e9-9c07-757832ae30c4
Erscheinungs­datum: 24.5.2024, 15:00:00

Beschreibung

“Thinking Machines,” hosted by Daniel Reid Cahn, bridges the worlds of artificial intelligence and philosophy - aimed at technical audiences. Episodes explore how AI challenges our understanding of topics like consciousness, free will, and morality, featuring interviews with leading thinkers, AI leaders, founders, machine learning engineers, and philosophers. Daniel guides listeners through the complex landscape of artificial intelligence, questioning its impact on human knowledge, ethics, and the future.
We talk through the big questions that are bubbling through the AI community, covering topics like "Can AI be Creative?" and "Is the Turing Test outdated?", introduce new concepts to our vocabulary like "human washing," and only occasionally agree with each other.
Daniel is a machine learning engineer who misses his time as a philosopher at King's College London. Daniel is the cofounder and CEO of Slingshot AI, building the foundation model for psychology.

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