Jacob and Pat sit down with Tome Co-Founder and CEO Keith Peiris to discuss Tome’s go-to market strategy, deciphering through the “AI tourists” to identify their ideal customer profile (ICP), and the different hardware cost considerations when reaching enterprise scale.

0:00 intro

1:35 founding Tome

5:05 designing Tome

10:30 how users want to interact with AI

12:26 teaching users how to use Tome

20:13 partnering with model providers vs. building your own

28:43 model evaluation

31:23 building an enterprise product

37:48 thinking about pricing

43:43 Keith’s favorite Tome projects

44:26 over-hyped/under-hyped

With your co-hosts: 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@jordan_segall 

- Partner at Redpoint

Jacob and Pat sit down with LlamaIndex CEO Jerry Liu to discuss his motivations for building LlamaIndex, thoughts on building enterprise-ready LLM applications and agents, and when fine-tuning makes sense.

0:00 intro

1:02 the evolution of LlamaIndex

3:48 apps being built with LlamaIndex

6:39 making agents more effective

12:58 retrieval augmented generation

16:49 what’s the right level of abstraction for LlamaIndex?

19:42 balancing reasoning and knowledge

30:46 storage for embeddings

36:03 underutilized features of LlamaIndex

40:38 over-hyped/under-hyped

With your co-hosts:

@ericabrescia

- Former COO Github, Founder Bitnami (acq’d by VMWare)

@patrickachase

- Partner at Redpoint, Former ML Engineer LinkedIn

@jacobeffron

- Partner at Redpoint, Former PM Flatiron Health

@jordan_segall

- Partner at Redpoint

Jordan and Erica sit down with Andriy Mulyar, Founder & CTO of Nomic AI, and discuss his motivation for creating GPT4ALL, the importance of data-centric AI, the use of LLMs in video games, and which technology companies are well positioned to “win” in the GenAI market long term.

0:00 intro

0:59 getting into AI and meeting Brandon

2:27 starting Nomic

7:43 how people are using Atlas

10:31 hallucinations in LLMs

13:05 gpt4all

17:25 building LLMs into video games

26:31 where does Nomic go from here?

37:39 Apple’s role in the LLM space

38:57 Andriy’s thoughts on AGI

40:41 over-hyped/under-hyped

42:13 AI regulation going forward

With your co-hosts: 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@jordan_segall 

- Partner at Redpoint

Patrick and Jacob sit down with Alexandru Costin, the VP of Generative AI and Sensei at Adobe, and discuss how Adobe’s early projects with generative AI in 2019 helped them move quickly upon the release of LLMs and diffusion models. Before leading Adobe’s generative AI efforts he founded InterAKT, a web development company, and led Adobe Romania for 10 years.

00:00 intro

01:44 Adobe Romania and background

02:26 AI projects at Adobe

10:03 incorporating AI into existing products

16:34 educating Adobe’s user base

25:13 avoiding copyright issues with Ai-generated content

32:12 using customer feedback

40:30 what is the right way to structure an AI team?

45:11 pricing AI products

48:00 the future of Adobe

With your co-hosts: 

@jasoncwarner 

- Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@jordan_segall 

- Partner at Redpoint

Jacob sits down with Alex to discuss how Snorkel grew from an open-source project in a Stanford AI lab to a $1B company. Alex shares his thoughts on why data development is at the heart of AI development, why enterprises are slow to deploy LLM applications, and the importance of academia in the future of AI development. 

00:00 intro 

01:03 moving from academia to Snorkel 

05:08 the evolution of Snorkel 

18:33 improving pre-training 

21:37 avoiding hallucinations and other errors 

33:00 barriers to enterprises deploying AI 

36:59 the Snorkel footprint of the future 

39:37 the role of academia in AI development 

42:57 over-hyped/under-hyped 

44:50 how should AI regulation change going forward? 

With your co-hosts: 

@jasoncwarner 

- Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@jordan_segall 

- Partner at Redpoint

On today’s episode we talk with Jeff Huber, the CEO and Co-founder of Chroma. We talk about what sets Chroma apart from its competitors, new developments in AI technology, and advice for listeners who want to get started in AI.

0:00 intro 

1:02 starting chroma 

6:08 vector databases 

10:03 interesting use cases for vector databases 

13:14 what sets chroma apart? 

23:00 unresolved questions in LLMs 

32:45 multiple agents vs. one agent to rule them all 

34:50 chroma’s future 

38:00 embedding models 

43:00 over-hyped/under-hyped 

44:30 AI regulation 

48:42 is it too late to get into AI? 

With your co-hosts: 

@jasoncwarner 

- Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health 

@jordan_segall 

- Partner at Redpoint

Jacob sits down with PathAI Ceo Dr. Andy Beck to discuss the state of AI adoption in diagnosis, why Path acquired their own lab, pathologists' jobs in the future and nailing GTM to reach a ~$1B valuation. 

00:00 intro 

01:01 pathology and AI 

13:30 nailing go-to-market strategy 

19:47 how pathology labs can go digital 

25:36 regulatory frameworks and roadblocks 

33:05 do improvements in foundation models impact PathAI? 

36:26 standardizing diagnosis 

40:05 how will the job of a pathologist change going forward? 

42:35 NASH 

47:30 working in Daphne Koller’s lab

With your co-hosts: 

@jasoncwarner - Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron - Partner at Redpoint, Former PM Flatiron Health 

@jordan_segall - Partner at Redpoint

Jacob and Jordan sit down with EleutherAI's Aran Komatsuzaki to discuss the future of open-source models, thought cloning, his work on GPT-J and more.

0:00 intro

01:06 Aran’s background

02:58 starting work on gpt-j

05:49 gathering data for Lion and gpt-j

08:51 history of EleutherAI

11:16 open vs. closed-source models

19:06 how will open-source models be used going forward

21:33 thought cloning

25:51 building AI models that understand video

29:35 one model to rule them all

31:58 influence of academia in the LLM space

34:33 over-hyped/under-hyped

38:01 Aran’s thoughts on AGI

With your co-hosts: 

@jasoncwarner 

- Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia 

- Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase 

- Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron 

- Partner at Redpoint, Former PM Flatiron Health

@jordan_segall 

- Partner at Redpoint

Patrick and Jacob sit down with Tatsu Hashimoto, Professor of AI at Stanford, to discuss the incredible open source projects from his research group like Alpaca and AlpacaFarm, whether data, algorithms, fine-tuning or RLHF is most important for performance, if AI is liberal or conservative, and much more!

(0:00) - intro

(1:05) - journey to Stanford

(2:50) - origins of Alpaca

(6:08) - capabilities of the Alpaca model

(16:39) - the future of AI

(20:07) - AlpacaFarm

(21:37) - how to improve language models

(29:15) - do language models form opinions?

(32:15) - how to solve bias in ai

(34:18) - how does academia fit into the world of AI

(42:01) - over-hyped/under-hyped

(46:35) - questions Tatsu doesn’t have time for

With your co-hosts: 

@jasoncwarner - Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @jacobeffron - Partner at Redpoint, Former PM Flatiron Health

@jacobeffron - Partner at Redpoint, Former PM Flatiron Health

Jacob sits down with Insitro CEO Daphne Koller to discuss founding Coursera, where and how ML can drive the most impact in drug development, and if foundation models can transform core drug discovery work and edtech. 

(00:00) - intro 

(00:54) - Daphne’s journey 

(09:18) - AI and biology discovery 

(10:59) - insitro vs. traditional pharma 

(20:04) - phenotyping patients 

(26:01) - early mistakes 

(29:51) - the future of data 

(35:33) - partnering with larger pharma companies 

(38:17) - impact of LLMs on biopharma 

(44:04) - over-hyped/under-hyped 

With your co-hosts: 

@jasoncwarner - Former CTO GitHub, VP Eng Heroku & Canonical 

@ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) 

@patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn 

@jacobeffron - Partner at Redpoint, Former PM Flatiron Health