Use cases: DevOps

Generative AI on AWS

With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning

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Generative AI on AWS

With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment.

Read More »

Observability of LLMs in Google Cloud

ML and AI specialists Eduardo Mota and Sascha Heyer join us to explore the complexities of observability of LLM-powered features. Packed with tons of real-life customer anecdotes and best practices, they discuss the challenges and strategies for monitoring Gen AI systems, emphasizing the importance of metrics in understanding system interactions, especially given Gen AI’s non-deterministic nature.

Read More »

Use cases: DevOps

Generative AI on AWS

With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment.

Read More »

Observability of LLMs in Google Cloud

ML and AI specialists Eduardo Mota and Sascha Heyer join us to explore the complexities of observability of LLM-powered features. Packed with tons of real-life customer anecdotes and best practices, they discuss the challenges and strategies for monitoring Gen AI systems, emphasizing the importance of metrics in understanding system interactions, especially given Gen AI’s non-deterministic nature.

Read More »

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