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The Breakdown: What are AI agents?

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The Breakdown: What is retrieval-augmented generation?

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The Breakdown: What are AI agents?

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Mitigating AI hallucinations for enterprises

Large Language Models (LLMs) hold great promise for enterprises, but their integration comes with significant challenges, including the risk of AI-generated inaccuracies known as “hallucinations.” In this video, we explore the impact of these inaccuracies on businesses and provide strategies to mitigate them.

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Unlocking AI potential with prompt intelligence for enterprises

Prompt Intelligence is the key to unlocking the full potential of Large Language Models (LLMs) in enterprises.

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Protecting personal identifiable information (PPI) in AI: Best practices for enterprises

Personal Identifiable Information (PII) includes sensitive data such as social security and passport numbers, as well as biometric data like faces and fingerprints. When training or refining Large Language Models (LLMs), there’s a risk of accidentally including PII, leading to significant real-world consequences like identity theft, privacy violations, and financial losses.

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Enhancing AI accuracy with retrieval-augmented generation (RAG)

Retrieval-augmented generation (RAG) represents a significant leap in the capabilities of large language models (LLMs). By integrating internal databases and documents, RAG enhances the relevance and accuracy of LLMs, making them subject matter specific.

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Safeguarding AI from prompt injection attacks

In the rapidly evolving AI landscape, a new cybersecurity threat called Prompt Injection is emerging.

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What is a cloud native application protection platform (CNAPP)?

Discover how a cloud native application protection platform (CNAPP) safeguards your cloud native applications and microservices.

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What is Kubernetes pod security?

Secure your kubernetes pods with these tips to help protect your application.

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Fulfilling the promise of generative AI: A strategic path to rapid and trusted solution delivery

GenAI is full of exciting opportunities, but there are significant obstacles to overcome to fulfill AI’s full potential. Learn what those are and how to prepare.

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    The Breakdown

    Explore complex concepts in simplified language in The Breakdown series, covering the who, what, when, where, why, and how of emerging tech.

    Explore complex concepts in simplified language in The Breakdown series, covering the who, what, when, where, why, and how of emerging tech.

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    ADDITIONAL RESOURCES

    Enhancing AI accuracy with retrieval augmented generation (RAG)

    Learn how enterprises can leverage RAG alongside LLMs to provide accurate, relevant, and current results in their applications.

    More From The Breakdown