Remove Data Platform Remove Natural Language Processing Remove Prompt Engineering
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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

Automated Reasoning checks help prevent factual errors from hallucinations using sound mathematical, logic-based algorithmic verification and reasoning processes to verify the information generated by a model, so outputs align with provided facts and arent based on hallucinated or inconsistent data.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity. While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. To bridge the tuning gap, watsonx.ai

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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond

Snorkel AI

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond

Snorkel AI

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

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How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services

AWS Machine Learning Blog

Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository. This allowed for testing of many types of specialized models on specific data to power such frameworks. Automatic prompt engineering must use Anthropics Claude v2, v2.1,