Remove LLM Remove Responsible AI Remove Software Development
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From Generative to Agentic AI, Wrapping the Year’s AI Advancements

NVIDIA

For many, tools like ChatGPT were their first introduction to AI. LLM-powered chatbots have transformed computing from basic, rule-based interactions to dynamic conversations. Introduced in March, ChatRTX is a demo app that lets users personalize a GPT LLM with their own content, such as documents, notes and images.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

Through advanced analytics, software, research, and industry expertise across more than 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsible AI development with human oversight and transparency.

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Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning Blog

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

Advanced Code Generation and Analysis: The models excel at coding tasks, making them valuable tools for software development and data science. Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Visit Claude 3 → 2.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

As you browse the re:Invent catalog , select your learning topic and use the “Generative AI” area of interest tag to find the sessions most relevant to you. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning Blog

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.