Tag: ai/ml

This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, Amazon …

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Insights from Product Reliability Engineers Intro Palantir’s platforms (AIP, Foundry, Gotham, Apollo) underpin mission-critical workflows throughout the world, whether it’s facilitating the resettling of over 100,000 refugees fleeing the war in Ukraine or reducing waiting times for life-saving cancer care. The Product Reliability Incident Management team’s core mandate is to address the highest-priority issues across …

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Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). A private hub is a feature in SageMaker JumpStart that allows an organization to share their models and notebooks so as to centralize model artifacts, facilitate discoverability, and increase the reuse …

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This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Millions of counters are added daily, together …

Read more “Imperva optimizes SQL generation from natural language using Amazon Bedrock”

We recently launched BigQuery vector search, which enables semantic similarity search in BigQuery. This powerful capability can be used to analyze logs and asset metadata stored in BigQuery tables. For example, given a suspected log entry, your Site Reliability Engineering (SRE) or incident response (IR) team can search for semantically similar logs to validate whether …

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In the age of AI, healthcare leaders face the challenge of choosing the most suitable AI solution from a vast array of vendor options. In this blog post — drawing on insights from Palantir’s Artificial Intelligence Platform (AIP) for enhancing healthcare processes — we present 10 essential questions for healthcare leaders to consider when evaluating software that integrates AI …

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Video annotator: a framework for efficiently building video classifiers using vision-language models and active learning Amir Ziai, Aneesh Vartakavi, Kelli Griggs, Eugene Lok, Yvonne Jukes, Alex Alonso, Vi Iyengar, Anna Pulido https://medium.com/media/02a5bbf97c619182adba24b45e42edcb/href Introduction Problem High-quality and consistent annotations are fundamental to the successful development of robust machine learning models. Conventional techniques for training machine learning classifiers are …

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