AI Infrastructure Alliance
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+00:00 GMT

AI Infrastructure Alliance

The AI Infrastructure Alliance brings together the tools, data scientists and data engineers need to build a robust, scalable, end-to-end, enterprise artificial intelligence and machine learning (AI/ML) platform.
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AI Infrastructure Alliance

Events

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3:00 PM - 7:45 PM, Sep 14 GMT
LLMs and the Generative AI Revolution

Content

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In the era of ChatGPT-like technology, businesses are embracing the power of Language Model (LLM) applications to enhance customer experiences, automate processes, and drive innovation. However, using these tools can also pose hidden dangers and risks, including ethical concerns, data breaches, and IP infringement. There is a need for robust safeguards to protect businesses from potential legal and policy challenges, as well as mitigate associated risks. This captivating and insightful talk will delve into the challenges and risks associated with LLM adoption and unveil AIShield.GuArdIan, a cutting-edge solution tailored specifically for businesses utilizing ChatGPT-like technology, offering a vital safeguard to ensure compliance and minimize vulnerabilities. AIShield.GuArdIan offers comprehensive application security controls at the input and output stages, ensuring legal compliance, policy adherence, and risk mitigation. By filtering content, enforcing user-based policy controls, and protecting sensitive information, AIShield.GuArdIan creates a secure environment for LLM interactions safeguarding businesses from legal, ethical, and reputational risks. With AIShield.GuArdIan, businesses gain granular control over LLM applications, balancing innovation, and compliance. Join this captivating talk to gain a profound understanding of the challenges and risks surrounding the adoption of LLM technology and explore how AIShield.GuArdIan can serve as a critical safety net. Discover how its comprehensive application security controls enable businesses to navigate the dynamic AI landscape confidently, ensuring AI safety, data privacy, and ethical AI practices. By embracing AIShield.GuArdIan, businesses can construct robust guardrails for LLMs, embracing the bold and fearless AI era with confidence and security.
Sep 14th, 2023 | Views 256
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The AI revolution spells crisis and costs for delivering business value. When companies overlook model reproducibility and transparency, the ability to trust what AI creates is put at risk. In our talk, we address automating complex data pipelines for improving AI/ML model reliability, best practices for data versioning, reproducibility, and workflows for AI/ML, practical insights and actionable strategies for developing scalable AI/ML applications, and the latest tooling considerations for versioning unstructured and structured data.
Sep 12th, 2023 | Views 313
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Join us for an introduction to NSQL, a new family of open-source foundation models automating SQL generation tasks. This talk will discuss the limitations of existing open and closed-source foundation models for enterprise use, including issues of customization, quality, and privacy. We will highlight how NSQL addresses these challenges with its open-source nature, specialized training for SQL tasks, and a range of model sizes to accommodate diverse hardware configurations. Included in the talk will be NSQL's data generation process and training approach, underlining its advantages over other foundation models for SQL generation. We will demonstrate how the NSQL models outperform existing open source models for SQL generation and, by starting from the newest LLama2 commercially available model, we even beat closed source models.
Sep 12th, 2023 | Views 299