Amazon Bedrock, every mention
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tap a year for its mentions
every year anyone Alex Kantrowitz 17Matt Wood 5Swami Sivasubramanian 4Alex Stamos 4Matt Garman 1Jack Clark 1Adrian McDermott 1
Verbatim, from the transcripts: the passages where Amazon Bedrock comes up
AI’s True Cyber Risk: Fable, Mythos, China, and The Rest — With Alex Stamos
- ▶ 0:26 Alex Stamos So, uh, Amazon hosts, uh, Anthropics models in the, in what they call bedrock. 2 times in the scene
Big Technology AI Summit (full): Greg Brockman, Mike Krieger, Aaron Levie & Friends of The Podcast
- ▶ 2:01:17 Alex Stamos So, uh, Amazon hosts, uh, anthropics models in the, in what they call bedrock. 2 times in the scene
Zendesk's Adrian McDermott: AI's Customer Service Potential, Adoption Cycle, Scale vs. Orchestration
- ▶ 14:37 Adrian McDermott And so we use, I think we use the latest, one of the latest Claude models in Bedrock to do that.
AWS CEO Matt Garman on Amazon's Big AI Chips Bet, Working With OpenAI, and Nuclear Energy
- ▶ 6:57 Alex Kantrowitz This bedrock strategy. 3 times in the scene
- ▶ 16:53 Matt Garman We're launching automated model distillation inside of bedrock.
Amazon's Longterm AI Vision — With AWS VP Matt Wood
- ▶ 5:52 Matt Wood Just the number of experiments that are being run on AWS for different companies in the regulated industries and all the other industries that I mentioned, you know, Bedrock, which is the service that we make available to customers to…
- ▶ 28:13 Alex Kantrowitz So last year we were talking a little bit about bedrock, which is basically a tool that Amazon web services, uh, customers can use to develop with AI models. 5 times in the scene
Anthropic's Co-Founder on AI Agents, General Intelligence, and Sentience — With Jack Clark
- ▶ 36:39 Jack Clark Well, what I mean is we deploy our systems through their channel, you know, bedrock in the case of Amazon, vertex in the case of Google.
AWS VP of AI and Data Swami Sivasubramanian — GenAI's Growth Potential
- ▶ 11:49 Swami Sivasubramanian So this is where I do think, um, our service like Amazon Bedrock, which actually helps with, uh, not just actually always saying the answer is always the biggest model, but instead, uh,
- ▶ 20:39 Swami Sivasubramanian Customers are still learning and experimenting with different models, ah, and that's why at Bedrock, ah, we actually started the premise that, ah, we are going to actually offer not just our first party, but also third party large language… 3 times in the scene
- ▶ 33:42 Alex Kantrowitz Lama three is running through bedrock, I believe, or AWS day one. 5 times in the scene
Amazon Reveals Its AI Master Plan — With Matt Wood
- ▶ 3:50 Alex Kantrowitz But you have a newer product that's called Bedrock, which allows people to build things like agents, for instance. 2 times in the scene
- ▶ 5:54 Matt Wood That's right, and then our approach is to find areas that are really, really valuable, the customers, real problems the customers are trying to solve, and then add capabilities to bedrock to make those problems smaller. 2 times in the scene
- ▶ 12:09 Alex Kantrowitz You guys understood that we'd want to be talking to computers, and yet, you know, we just mentioned that you have your own LLM, your own model that's right there for people to access in Bedrock.
- ▶ 16:34 Matt Wood So none of the information that is used with our bedrock service is used to improve the underlying models.
- ▶ 30:58 Alex Kantrowitz So, you mentioned that you have your own models, um, your own LLMs, and that's actually something that's available if people want to build within, uh, Bedrock.
- ▶ 38:18 Matt Wood And so, number one, we're enabling all of our builders, all of our software engineers, in which we have a pretty large number, to be able to experiment and, um, try out large language models through Bedrock.