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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning Blog

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. Double-check all entered information for accuracy.

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Learn AI Together — Towards AI Community Newsletter #18

Towards AI

It is a roadmap to the future tech stack, offering advanced techniques in Prompt Engineering, Fine-Tuning, and RAG, curated by experts from Towards AI, LlamaIndex, Activeloop, Mila, and more. Building an Enterprise Data Lake with Snowflake Data Cloud & Azure using the SDLS Framework.

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Level Up Your AI Game with More ODSC West Announced Sessions

ODSC - Open Data Science

In particular, you’ll focus on tabular (or structured) synthetic data and the privacy-preserving benefits of working with synthetic data. You’ll even get hands-on with the open-source tool (DataLLM) and create tabular synthetic data yourselves. Gen AI in Software Development. What should you be looking for?

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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Operationalizing Large Language Models: How LLMOps can help your LLM-based applications succeed

deepsense.ai

Other steps include: data ingestion, validation and preprocessing, model deployment and versioning of model artifacts, live monitoring of large language models in a production environment, monitoring the quality of deployed models and potentially retraining them.