[ WebToolTip.com ] Building LLM-Powered Recommendation Systems
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- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/04. Scaling for inference Quantization and knowledge distillation.mp4 20.4 MB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/02. Evaluating generated text ROUGE, BLEU, and BERTScore.mp4 15.6 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/02. Creating quality embeddings with sentence transformers.mp4 15.5 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/06. Few-shot prompting for personalized explanations.mp4 13.7 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/04. Summarizing user history for better personalization.mp4 13.0 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/07. Data augmentation Creating hard negatives with LLMs.mp4 12.3 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/01. Choosing your GenAI tool LLMs, GANs, and diffusion.mp4 11.4 MB
- ~Get Your Files Here !/06. 5. Conclusion/02. The future is agentic Designing recommenders as autonomous agents.mp4 10.6 MB
- ~Get Your Files Here !/06. 5. Conclusion/01. Course summary.mp4 10.1 MB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/01. Production infrastructure Vector databases and model serving.mp4 9.9 MB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/02. Foundational follow-up The two-tower model.mp4 9.6 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/08. Foundational follow-up Augment vs. replace—The LLMERS production pattern.mp4 9.3 MB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/01. Evaluating recommendation lists Diversity and novelty.mp4 9.0 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/06. Architectural challenge Managing long-term user memory.mp4 8.8 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/04. Building conversational recommenders with tool use and RAG.mp4 8.7 MB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/03. Monitoring for embedding drift and quality degradation.mp4 8.7 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/05. Multimodal fusion How cross-attention works.mp4 8.7 MB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/04. Red teaming Proactively finding failure modes.mp4 8.5 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/05. Solving item cold-start with cross-modal embeddings.mp4 7.8 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/01. Foundational follow-up How LLMs understand—A primer on the transformer.mp4 7.7 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/03. The key component Semantic item tokenization.mp4 7.6 MB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/02. The generative retrieval architecture.mp4 7.6 MB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/03. The RAG architecture A deep dive into factual grounding.mp4 7.5 MB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/03. Foundational follow-up The core shift—From item IDs to semantic embeddings.mp4 7.5 MB
- ~Get Your Files Here !/01. Introduction/01. Discover the power of generative AI for recommendation systems.mp4 1.8 MB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/04. Scaling for inference Quantization and knowledge distillation.srt 12.5 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/02. Creating quality embeddings with sentence transformers.srt 9.8 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/04. Summarizing user history for better personalization.srt 9.4 KB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/02. Evaluating generated text ROUGE, BLEU, and BERTScore.srt 9.4 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/07. Data augmentation Creating hard negatives with LLMs.srt 8.8 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/06. Few-shot prompting for personalized explanations.srt 8.8 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/01. Choosing your GenAI tool LLMs, GANs, and diffusion.srt 8.2 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/08. Foundational follow-up Augment vs. replace—The LLMERS production pattern.srt 7.6 KB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/02. Foundational follow-up The two-tower model.srt 7.1 KB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/01. Production infrastructure Vector databases and model serving.srt 7.1 KB
- ~Get Your Files Here !/05. 4. Operationalizing GenAI Recommender Systems at Scale/03. Monitoring for embedding drift and quality degradation.srt 7.0 KB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/01. Evaluating recommendation lists Diversity and novelty.srt 6.7 KB
- ~Get Your Files Here !/06. 5. Conclusion/01. Course summary.srt 6.2 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/04. Building conversational recommenders with tool use and RAG.srt 6.2 KB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/03. The RAG architecture A deep dive into factual grounding.srt 6.2 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/05. Solving item cold-start with cross-modal embeddings.srt 6.2 KB
- ~Get Your Files Here !/06. 5. Conclusion/02. The future is agentic Designing recommenders as autonomous agents.srt 6.2 KB
- ~Get Your Files Here !/04. 3. Evaluating GenAI Recommenders Quality, Fairness, and Trust/04. Red teaming Proactively finding failure modes.srt 6.1 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/02. The generative retrieval architecture.srt 6.1 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/01. Foundational follow-up How LLMs understand—A primer on the transformer.srt 6.0 KB
- ~Get Your Files Here !/02. 1. High-Impact GenAI Enhancements for Recommenders/03. Foundational follow-up The core shift—From item IDs to semantic embeddings.srt 6.0 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/03. The key component Semantic item tokenization.srt 5.8 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/06. Architectural challenge Managing long-term user memory.srt 5.7 KB
- ~Get Your Files Here !/03. 2. Architecting GenAI-Native Recommender Systems/05. Multimodal fusion How cross-attention works.srt 5.4 KB
- ~Get Your Files Here !/01. Introduction/01. Discover the power of generative AI for recommendation systems.srt 1.2 KB
- Get Bonus Downloads Here.url 180 bytes
- ~Get Your Files Here !/Bonus Resources.txt 70 bytes
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