Join Nathan Labenz and Erik Torenberg as they analyze the latest developments from OpenAI on GPT 3.5, compare GPT to other live player models like Llama2, and discuss the state of AI in coding, education, and healthcare. If you're looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/cognitive
We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.
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TIMESTAMPS:
(00:00) Episode Preview
(00:01:00) GPT 3.5 Turbo
(00:06:36) Llama 2 vs GPT
(00:11:24) How much inference is needed to double compute costs?
(00:13:40) OpenAI’s moat
(00:14:41) OpenAI’s privacy consideration for data
(00:16:06) Sponsor: Netsuite | Omneky
(00:17:46) Encouraging the usage of instructions during fine-tuning
(00:19:19) Live player consideration of AI safety
(00:22:35) Da Vinci: new completions fine tuneable model
(00:24:59) Chat-GPT usage in decline
(00:30:03) Getting on demand tutoring on ML papers
(00:31:00) Code, education, and healthcare
(00:31:42) AI applications in coding
(00:38:12) AI revolution n education
(00:42:35) AI revolution in healthcare
(00:52:17) Call for feedback
LINKS:
Replit episode with Tyler Angert
Replit episode with VP of AI, Michele Catasta
AI Revolution in Education with Khan Academy's Director of Engineering, Shawn Jansepar
Google's Multimodal Med-PaLM with Vivek Natarajan and Tao Tu
X:
@labenz (Nathan)
@eriktorenberg (Erik)
@cogrev_podcast
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