Remove AI Tools Remove Auto-classification Remove Prompt Engineering
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Transforming IT operations and application modernization with artificial intelligence

IBM Journey to AI blog

Existing sales and service engineers can use language-based generative AI to augment their skills and easily find contextual or industrial knowledge to help them deliver better customer experiences or solve problems faster. These AI tools then flag inappropriate words or phrases for human agents to assess.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

LLMOps encompasses best practices and a diverse tooling landscape. Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. using techniques like RLHF.)