WSaaS
@WSaaSHQ
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Dallas, Texas, USA
Joined February 2022
Advanced RAG Techniques | Weaviate
weaviate.io
Learn how to improve the individual indexing, retreival and generation parts of your RAG pipeline!
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Making sense of AI’s contradictions: Technology infrastructure | Slalom
slalom.com
How will GenAI both help and force companies to rethink their technology?
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RT @KeneOliobi: NIST releases Dioptra for testing AI model risk. Works on only open source LLMs like Llama, Gemma, Mistral, Falcon. https:….
techcrunch.com
NIST has re-released a tool designed to help companies test for and understand some of the potential risks arising from AI models.
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A data leader’s technical guide to scaling gen AI | Mckinsey
mckinsey.com
Gen AI is forcing data and AI leaders to revisit their data platforms. By acting now, they can position themselves well for the data-driven future.
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One year in: Lessons learned in scaling up generative AI for financial services | McKinsey
mckinsey.com
The arrival of gen AI has been intense. With experimentation by financial institutions ramping up, our experts share learnings to scale programs effectively.
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Scaling gen AI in banking: Choosing the best operating model | McKinsey
mckinsey.com
The future of AI is changing rapidly for the banking and financial services industry. We look at how to choose the best operating model to scale your business.
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RT @KeneOliobi: "Humans are underrated." - Elon Musk. Human-in-the-loop is key to an effective AI/ML strategy. Why Human Intuition Is Esse….
twosigma.com
Claudia Perlich, Head of Strategic Data Science for Two Sigma Investment Management, explains why, despite a lot of hype, machine learning models can only be as good as the skills and intuition of...
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Optimize Generative AI LLMs: Top 20 Hyperparameters You Need to Know | WSaaS
wsaas.ai
Optimize large language model hyperparameters for enhanced generative AI performance.
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Been there, doing that: How corporate and investment banks are tackling gen AI | McKinsey
mckinsey.com
Generative AI is reshaping the financial industry. We look at how this new technology can be used when it comes to corporate and investment banking.
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RT @KeneOliobi: Optimize Generative AI LLMs: Top 20 Hyperparameters You Need to Know. #generativeai #llms #hyperparameters #deeplearning #m….
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Knowledge Graph vs. Vector RAG: Benchmarking, Optimization Levers, and a Financial Analysis Example | Neo4j
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A generative AI reset: Rewiring to turn potential into value in 2024 | McKinsey
mckinsey.com
The competitive advantage of generative AI can only come when companies do deeper organizational surgery on their business. Here's how to get started.
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Implementing generative AI with speed and safety | McKinsey
mckinsey.com
Generative AI poses both risks and opportunities. We look at why business leaders need to revise their playbooks when it comes to implementation.
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Enhancing the Accuracy of RAG Applications With Knowledge Graphs | Neo4j
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Moving past gen AI's honeymoon phase: Seven hard truths for CIOs to get from pilot to scale | Gartner
mckinsey.com
Getting to scale requires CIOs to focus on fewer things, orchestrate a system of components, and get a handle of costs.
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RT @KeneOliobi: Event-Driven Architecture vs Message-Driven Architecture: Four Differences. When designing asynchronous / decoupled / loose….
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A generative AI reset: Rewiring to turn potential into value in 2024 | McKinsey
mckinsey.com
The competitive advantage of generative AI can only come when companies do deeper organizational surgery on their business. Here's how to get started.
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Moving past gen AI’s honeymoon phase: Seven hard truths for CIOs to get from pilot to scale | McKinsey
mckinsey.com
Getting to scale requires CIOs to focus on fewer things, orchestrate a system of components, and get a handle of costs.
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Navigating the Generative AI Landscape: A Strategic Blueprint for CEOs and CIOs | AWS
aws.amazon.com
Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.
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