AWS AI’s Post

Why does it always seem like the hardest thing on AWS is figuring out IAM permissions? I've been experimenting with the latest AI tools on AWS Bedrock and it took me an embarrassingly long time to figure out how to give Bedrock permission to access my Retrieval Augmentation Generation (RAG) resources on S3. Everything else was pretty straightforward. Between policies, identities, ACLs, groups, resources, roles, tags, providers, ABAC vs RBAC, managed vs inline, etc, etc - it feels like securing anything via IAM in AWS requires an advanced degree. This is where AI could help the most, but unfortunately, Q just isn't there yet... sigh. #aws #amazonbedrock #ai

I'm excited to share my recent interview with AWS, where we dive deep into our journey at Monks, transforming a generative AI project from proof of concept to full-scale production using AWS Inferentia. In the interview, we discussed the critical decisions we made, the challenges we overcame, and the strategies we employed to scale our application to handle millions of user requests daily—all while optimizing for both performance and cost. Whether you're interested in the technical intricacies of deploying AI workloads or looking to understand how to scale infrastructure efficiently, this conversation is packed with insights. Check out the full interview https://lnkd.in/gbE3zHKF and let me know your thoughts! #AWS #GenerativeAI #TechInnovation #Inferentia #MachineLearning #Monks

Both of the distributions below have the very same expectation value. ¿Are your ML regression models still only outputting point predictions but without any uncertainty quantification? Time to use conformal prediction! Resources: • MAPIE https://lnkd.in/dcuR5t5t • AWS Fortuna https://lnkd.in/d_va6m-J • PUNCC https://lnkd.in/dqCjvgii • "Awesome Conformal Prediction" https://lnkd.in/d4cGKV8M #machinelearning #conformalprediction

🔎 What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. https://lnkd.in/dVZ8Zi6e #aws #rag #genai #bedrock #llm

Great contribution from Natasha in the #AWSINNOVATION GenerativeAI + Data on how to integrate data and the efficiency of the AWS tool. Very comfortable experience of the event, I continue to learn in https://lnkd.in/eDcSr6zd

I was delighted to attend today's #AWS #AI & #Data Conference! Congrats to Mark Dunleavy and the Amazon Web Services (AWS) Team. Unsurprisingly, #GenerativeAI featured strongly with fascinating presentations from speakers, including Sasha Rubel, AWS on Responsible GenAI Practices, Martin Holste, Trellix on Scaling Security Ops, and David Gregg, Slalom on The Road to GenAI in Production. Overall, an excellent event. #artificialintelligence #machinelearning #deeplearning #dataanalytics #LLMs #largelanguagemodels #aiethics #responsibleai #aigovernance #disruptivetechnologies #digitaldisruption #digitaltransformation

@Amazon Web Services (AWS) and @Denodo have teamed up for a comprehensive data foundation. Find out on this session at The Best of #DenodoDataFest #EMEA by @Harsha T., Principal Data Strategist at Amazon Web Services (AWS), how the powerful combination of AWS and Denodo is poised to creates some of the early but practical generative AI applications on #AWS, as Denodo becomes the serving layer for one of the most critical component of #generativeAI – the #data https://buff.ly/4b076NO 

Maybe there are more of these to come in the future? 🕚 Tell me which JUMPSTARTs you'd like to see below: 👇 🖊 Drafted a quick #Azure #AI102 jumpstart data dump. It is certainly draft and some parts and pieces may be/are outdated so use it as a general reference. However!!! always refer to #MicrosoftLearn documentation as a source of truth.

Curious about the future of AI in finance? 🤔 Catch this exclusive on-demand session from Money20/20 with Databricks and Amazon Web Services (AWS)! Explore how #GenAI is revolutionizing the financial services industry, featuring insights from FactSet, Public.com, and Zero Hash👇

Curious about the future of AI in finance? 🤔 Catch this exclusive on-demand session from Money20/20 with Databricks and Amazon Web Services (AWS)! Explore how #GenAI is revolutionizing the financial services industry, featuring insights from FactSet, Public.com, and Zero Hash👇