Rick Sarkar’s Post

Anthropic Claude 3.5 Haiku is now available in Amazon Bedrock! It combines rapid response times with improved reasoning capabilities, making it ideal for tasks that require both speed and intelligence. https://lnkd.in/dfYfQk38

It's amazing to see the functionality of Amazon's Anthropic's Claude on Amazon Bedrock which is the world’s safest and most capable large language model (LLM). - Claude 3.5 Sonnet exhibits near-human levels of comprehension and fluency on complex tasks, leading the frontier of general intelligence. - Claude models offer increased steerability, giving users more control, and produce predictable, high-quality outputs - Claude 3.5 Sonnet can accurately transcribe text from imperfect images—a core capability for retail, logistics, and financial services

I'm very excited and proud to share our newly launched Amazon Nova models! Some of these models include Nova Micro, Nova Lite, and Nova Pro - each offering unique benefits in cost, speed, and capability. Even better, there are more developments to come in 2025! If you're interested in this sort of thing, check out our detailed paper covering model evaluations, agentic workflows and benchmarks, multi-model usage and results, and performance in software engineering, financial analysis, and RAG.

Excited to share my latest blog post where I dive into the world of Amazon. Read the full article [here](https://lnkd.in/gh2xnPjf)

Hey Alexa, I'll pass on your new paid tier of service. I understand Amazon's desire to address the downstream impact (DSI) math problem; please first reassess the value of our shared data through Alexa before jumping to a paid-tier monetization effort. #DataInsights #Alexa #DSI

This is not just a sneak peek about Amazon Intelligence 👀 In a few days, you will find out what I am talking about. In the meantime, you can try guessing what I might have been working on.

Reinventing ourselves means we can't just tinker around the edges. We need to keep engaging ourselves in #adaptivelearning and #transformational change. We'll be better prepared for the modern pace of change, and we'll experience our own flourishing. Jeff Gothelf: "Nothing stands still, and the pace of change today is faster than ever. Almost a decade ago, Amazon was updating its codebase every 11.6 seconds — they were essentially reinventing the way that they serve their customers five times a minute. By 2015, Amazon got faster — way faster — pushing code to production every second. Imagine what that figure is today. In 2018, Google revealed that it runs over 500 million tests a day, equating to more than 4 million relaunches of existing and new systems each and every day. That’s the modern pace of change. If you want to stay forever employable, then you’ve got to be ready to reinvent yourself with the times. And that is coming in shorter and shorter cycles." Article here: https://lnkd.in/e_YxnEZH #immunitytochange #growthculture #growthanddevelopment #adaptivechallenge #deliberatelydevelopmental

Our attention spans are shrinking. Research says on average our attention spans are 8.5 seconds, shorter than goldfish. Amazon sellers feel this impact the most. How do you optimize your listings for those fleeting moments when customers are scrolling, skimming, and searching? 💫 Introducing our Image Impact Poll: a game-changer for stopping the scroll and securing the sale. This poll was created to help optimize for these short attention spans and empower sellers to optimize their main image and image stack to serve the impatient, scroll-happy consumers. In two short intervals test your main listing image for improved CTR, or your image stack to boost your CVR. Learn all about it here: https://lnkd.in/eP9JZzq8 Join our webinar next week and learn more with our Intellivy Scientist Peter-Paul Maan. Link in Comments.

In multiple separate discussions with OpenAI team members, I couldn't help but notice the clarity in how they described their aspirational north star metric - "increase intelligence per dollar." It echoed Amazon's early emphasis on metrics around improving customer experience, expanding selection, and lowering prices. It was refreshing to witness such focused dedication to core metrics. As a builder and an investor, I've observed that northstar metrics crystallize what truly matters to customers: obvious, durable, and tangible goals essential for a company's long-term success. Converse is also true, and the founding team's inability to clearly articulate their north star metric may be a leading indicator about where they stand on their journey towards achieving product-market-fit.

Here are some examples on how we can use Amazon Bedrock to create Generative Applications. https://lnkd.in/dQRGi7vP