Tag: generative AI

Tamara Weed, Oct, 4 2026

Understand how the EU AI Act classifies generative AI as General-Purpose AI. Learn about risk tiers, mandatory transparency rules, copyright obligations, and penalties for non-compliance starting in 2025 and 2026.

Tamara Weed, Oct, 3 2026

Discover how self-supervised learning transforms generative AI by leveraging unlabeled data. Learn the differences between pretraining and fine-tuning, explore real-world ROI, and get practical tips for implementation.

Tamara Weed, Oct, 1 2026

Generative AI suffers from catastrophic forgetting, losing old skills when learning new ones. Discover how techniques like Experience Replay and Nested Learning help models adapt without amnesia.

Tamara Weed, Sep, 18 2026

Discover how RAG with vector databases fixes LLM hallucinations. Learn about embeddings, HNSW indexing, and filtering for accurate AI retrieval.

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.

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.

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.

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.

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.

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.

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.

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.