Generative AI and Large Language Models - ML Conference https://mlconference.ai/generative-ai-content/ The Conference for Machine Learning Innovation Fri, 13 Dec 2024 10:35:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.5.2 Optimizing LLMs on Single GPUs: Best Practices and Multitasking Strategies https://mlconference.ai/generative-ai-content/llm-optimization-single-gpu/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/llm-optimization-single-gpu/ The post Optimizing LLMs on Single GPUs: Best Practices and Multitasking Strategies appeared first on ML Conference.

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]]> STOIC Security: Shielding Your Generative AI App from the Five Deadly Risks https://mlconference.ai/generative-ai-content/stoic-security-generative-ai-app/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/stoic-security-generative-ai-app/ The post STOIC Security: Shielding Your Generative AI App from the Five Deadly Risks appeared first on ML Conference.

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]]> From RAG to Agents: Building Smart AI Assistants [Friday, 27th June] https://mlconference.ai/generative-ai-content/rag-agents-building-smart-ai-assistants/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/rag-agents-building-smart-ai-assistants/ The post From RAG to Agents: Building Smart AI Assistants [Friday, 27th June] appeared first on ML Conference.

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]]> Building Responsible and Fair LLMs: Advancing Safety, Fairness, and Robustness in AI [Tuesday, 24th June] https://mlconference.ai/generative-ai-content/building-responsible-fair-llms-safety-fairness-robustness-ai/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/building-responsible-fair-llms-safety-fairness-robustness-ai/ The post Building Responsible and Fair LLMs: Advancing Safety, Fairness, and Robustness in AI [Tuesday, 24th June] appeared first on ML Conference.

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]]> Enhancing Scalability in Continuous Training Pipelines for Machine Learning Models https://mlconference.ai/generative-ai-content/enhancing-scalability-continuous-training-pipelines-machine-learning-models/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/enhancing-scalability-continuous-training-pipelines-machine-learning-models/ The post Enhancing Scalability in Continuous Training Pipelines for Machine Learning Models appeared first on ML Conference.

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]]> Building an Agentic RAG Pipeline https://mlconference.ai/generative-ai-content/building-agentic-rag-pipeline/ Fri, 13 Dec 2024 10:35:02 +0000 https://mlconference.ai/session/building-agentic-rag-pipeline/ The post Building an Agentic RAG Pipeline appeared first on ML Conference.

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]]> Dangerous Prompts: How to Protect Your Data from Attacks on AI Systems https://mlconference.ai/generative-ai-content/llm-prompt-hacking-defense/ Fri, 13 Dec 2024 10:35:01 +0000 https://mlconference.ai/session/llm-prompt-hacking-defense/ The post Dangerous Prompts: How to Protect Your Data from Attacks on AI Systems appeared first on ML Conference.

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]]> Are ‘Friends’ Electric?: What It Means to Be Human Now and Tomorrow in the Age of AI https://mlconference.ai/generative-ai-content/mean-human-age-ai/ Fri, 13 Dec 2024 10:35:01 +0000 https://mlconference.ai/session/mean-human-age-ai/ The post Are ‘Friends’ Electric?: What It Means to Be Human Now and Tomorrow in the Age of AI appeared first on ML Conference.

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]]> Building Responsible and Fair LLMs: Advancing Safety, Fairness, and Robustness in AI https://mlconference.ai/generative-ai-content/fair-safe-reliable-llms/ Thu, 12 Dec 2024 15:39:58 +0000 https://mlconference.ai/session/fair-safe-reliable-llms/ The post Building Responsible and Fair LLMs: Advancing Safety, Fairness, and Robustness in AI appeared first on ML Conference.

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]]> Beyond the Benchmark: Evaluating Large Language Models for Real-World Use Case https://mlconference.ai/generative-ai-content/evaluating-large-language-models-real-world-use-case/ Thu, 12 Dec 2024 15:39:58 +0000 https://mlconference.ai/session/evaluating-large-language-models-real-world-use-case/ The post Beyond the Benchmark: Evaluating Large Language Models for Real-World Use Case appeared first on ML Conference.

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