Tag: generative AI

Training Data Disclosures for Generative AI: AB 2013 Compliance Guide
Training Data Disclosures for Generative AI: AB 2013 Compliance Guide

Tamara Weed, Sep, 15 2026

California's AB 2013 mandates training data disclosures for generative AI. Learn the 12 required categories, compliance strategies, and how to balance transparency with trade secret protection.

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Federated Learning for Generative AI: How to Collaborate Without Sharing Data
Federated Learning for Generative AI: How to Collaborate Without Sharing Data

Tamara Weed, Sep, 14 2026

Discover how federated learning enables privacy-preserving collaboration for Generative AI. Learn how to train models across distributed data sources without sharing raw data, ensuring compliance and security.

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Safety by Design in Generative AI: How to Embed Protections into Product Architecture
Safety by Design in Generative AI: How to Embed Protections into Product Architecture

Tamara Weed, Aug, 4 2026

Explore Safety by Design in Generative AI, a framework by Thorn and partners like NIST that embeds protections into product architecture. Learn how to prevent CSAM and other harms through proactive development, deployment, and maintenance strategies.

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Contact Center ROI from Generative AI: How to Improve Handle Time, CSAT, and First Contact Resolution
Contact Center ROI from Generative AI: How to Improve Handle Time, CSAT, and First Contact Resolution

Tamara Weed, Jul, 14 2026

Discover how Generative AI boosts contact center ROI by cutting handle time, raising CSAT, and improving First Contact Resolution with real data and implementation strategies.

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Chain-of-Thought Prompting: A Step-by-Step Guide to Complex AI Reasoning
Chain-of-Thought Prompting: A Step-by-Step Guide to Complex AI Reasoning

Tamara Weed, May, 16 2026

Learn how Chain-of-Thought prompting improves LLM accuracy on complex tasks. Discover step-by-step implementation guides, cost trade-offs, and best practices for zero-shot and few-shot reasoning.

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Generative AI in Life Sciences: Protein Design and Literature Reviews
Generative AI in Life Sciences: Protein Design and Literature Reviews

Tamara Weed, May, 12 2026

Explore how Generative AI transforms life sciences research through de novo protein design and automated literature reviews. Learn about tools like BoltzGen and RFdiffusion3.

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Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising
Pretraining Objectives in Generative AI: Masked Modeling, Next-Token Prediction, and Denoising

Tamara Weed, Apr, 15 2026

Explore the core pretraining objectives of Generative AI: Masked Modeling, Next-Token Prediction, and Denoising. Learn how they power BERT, GPT, and Stable Diffusion.

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Prompt Templates for Generative AI: Reusable Patterns for Business
Prompt Templates for Generative AI: Reusable Patterns for Business

Tamara Weed, Apr, 9 2026

Learn how to use reusable prompt templates to standardize Generative AI outputs for marketing, customer support, and data analytics to ensure business consistency.

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AI Ethics Frameworks for Generative AI: A Practical Guide to Responsible AI
AI Ethics Frameworks for Generative AI: A Practical Guide to Responsible AI

Tamara Weed, Apr, 6 2026

Learn how to implement AI ethics frameworks for generative AI. Move from vague principles to technical practices, bias mitigation, and regulatory compliance.

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Emergent Capabilities in Generative AI: What Works and What Remains Unclear
Emergent Capabilities in Generative AI: What Works and What Remains Unclear

Tamara Weed, Apr, 1 2026

Exploring emergent capabilities in Generative AI: definition, examples like chain-of-thought, the 'mirage' debate, and safety implications for 2026.

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Public Sector and Generative AI: How Governments Are Using AI for Citizen Services, Policy Drafting, and Records
Public Sector and Generative AI: How Governments Are Using AI for Citizen Services, Policy Drafting, and Records

Tamara Weed, Feb, 2 2026

Generative AI is transforming public services by helping governments answer citizen questions faster, draft better policies, and manage records more efficiently. In 2026, it's moving from pilot projects to real-world impact.

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Practical Applications of Generative AI Across Industries and Business Functions in 2025
Practical Applications of Generative AI Across Industries and Business Functions in 2025

Tamara Weed, Jan, 13 2026

Generative AI is now transforming healthcare, finance, manufacturing, and customer service in 2025, cutting costs, speeding up workflows, and boosting accuracy. Learn how real companies are using it-and what it takes to make it work.

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