
ABX IQ
@ABXIQSolutions
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We empower government agencies to accelerate, scale & streamline their workflows through transformative cloud, data & AI solutions.
Frisco, TX
Joined October 2023
Ten unsung digital and AI ideas shaping business | McKinsey
mckinsey.com
Keeping your eye on where value comes from is still the name of the game.
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RT @KeneOliobi: Struggling to get your team on board with digital transformation?. HBR's Adoption Matrix for Digital Transformation can hel….
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Amazon Bedrock: A solid generative AI foundation
infoworld.com
Amazon Bedrock smooths the path to building generative AI apps with prompt engineering and RAG, providing a good assortment of text, chat, and image-based foundation models.
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Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum
aws.amazon.com
You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like...
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Reference guide to analyze transactional data in near-real time on AWS
aws.amazon.com
Business leaders and data analysts use near-real-time transaction data to understand buyer behavior to help evolve products. The primary challenge businesses face with near-real-time analytics is...
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RAG Vs Fine-Tuning Vs Both: A Guide For Optimizing LLM Performance
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock
aws.amazon.com
May 2024: This post was reviewed and updated in to provide the chatbot application’s infrastructure as code using the AWS CDK. Modern chatbots can serve as digital agents, providing a new avenue for...
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Introducing vector search in BigQuery
cloud.google.com
Vector search in BigQuery, or approximate nearest-neighbor search, enables AI use cases like semantic search, similarity detection, and RAG with LLMs.
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RT @KeneOliobi: Do you know you can perform analytics on unstable data on AWS?. Imagine ingesting event data as JSON files with unpredictab….
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Your RAGs powered by Google Search technology, part 2
cloud.google.com
Learn about the technologies you need to build a successful retrieval augmented generation (RAG) system to help ground large language models (LLM).
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Vertex AI Search adds new generative AI capabilities and enterprise-ready features
cloud.google.com
Vertex AI search offers customizable answers, search tuning, vector search, grounding and compliance updates for enterprises.
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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock
aws.amazon.com
With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced...
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databricks.com
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Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart #AmazonSageMaker #SageMakerJumpStart #VectorEmbeddings.
aws.amazon.com
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern, we find pieces of reference content related to an input prompt by...
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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker #AmazonEMR #AmazonSageMaker.
aws.amazon.com
Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs by incorporating prompt engineering...
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services #AmazonRedshift #AWS.
aws.amazon.com
Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming...
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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services | AWS #LLMOps #FMOps #SageMaker.
aws.amazon.com
In the last few years Large Language Models (LLMs) have risen to prominence as outstanding tools capable of understanding, generating and manipulating text with unprecedented proficiency. Their...
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