AWS Machine Learning Blog

AUGUST 9, 2024

Deltek is continuously working on enhancing this solution to better align it with their specific requirements, such as supporting file formats beyond PDF and implementing more cost-effective approaches for their data ingestion pipeline. The first step is data ingestion, as shown in the following diagram. What is RAG?

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AWS Machine Learning Blog

JUNE 18, 2024

This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.

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AWS Machine Learning Blog

DECEMBER 11, 2024

By moving our core infrastructure to Amazon Q, we no longer needed to choose a large language model (LLM) and optimize our use of it, manage Amazon Bedrock agents, a vector database and semantic search implementation, or custom pipelines for data ingestion and management.

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Generative AI Data Ingestion Chatbots Software Engineer 94

Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. The design is similar to a traditional application but considers LLM-powered application-specific characters and components.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

You follow the same process of data ingestion, training, and creating a batch inference job as in the previous use case. They can also introduce context and memory into LLMs by connecting and chaining LLM prompts to solve for varying use cases. Rishabh Agrawal is a Senior Software Engineer working on AI services at AWS.

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Generative AI Metadata Software Engineer AI 121

ODSC - Open Data Science

SEPTEMBER 17, 2024

Fine Tuning Strategies for Language Models and Large Language Models Kevin Noel | AI Lead at Uzabase Speeda | Uzabase Japan-US Language Models (LM) and Large Language Models (LLM) have proven to have applications across many industries. This talk provides a comprehensive framework for securing LLM applications.

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LLM Large Language Models Metadata Data Science 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

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Data Scientist Machine Learning Large Language Models ML Engineer 52