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Caveat Computator: Navigating the Paradox of Foundation Model Dependency in the AI Ecosystem

As we witness the astounding meteoric ascent of Foundation Models (eg. transformer-based large language models LLM/SSN/LSSM), I can't help but feel both excitement and trepidation. These models, like OpenAI's GPT, have been revolutionizing a multitude of tasks, from summarization to anomaly detection to code generation. Despite the undeniable, almost surreal and unreasonable effectiveness of these…

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Moving Fast With Broken Data: Implementing an Automatic Data Validation System for ML Pipelines

I recently came across an insightful research paper titled "Moving Fast With Broken Data" by Shreya Shankar, Labib Fawaz, Karl Gyllstrom, and Aditya G. Parameswaran from UC Berkeley and Meta. The paper addresses the significant issue of data corruption in machine learning (ML) pipelines, which often leads to decreased model accuracy. The authors present an…

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RFC 40123 - CLIPSTARE: Conversational Language Interface for Paperclip Standards, Theatrics, Algorithmic Repartee, and Exchanges

CLIPSTARE: Conversational Language Interface for Paperclip Standards, Theatrics, Algorithmic Repartee, and Exchanges Status of this Memo This memo provides information for the Internet community.  It does not specify an Internet standard of any kind.  Distribution of this   memo is unlimited. Copyright Notice       Copyright (C) The Interwebs (2023).  All Rights Reserved. Abstract The One-Upmanship…

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The Sparks of AGI or the Flickers of Overhype

As an AI practitioner, I cannot overstate the importance of caution when evaluating the recent paper, "Sparks of Artificial General Intelligence: Early experiments with GPT-4". While GPT-4's capabilities are undeniably impressive, we must not let auto-regressive models predicting sequences in the most conceivable manner deceive us into believing that AGI is imminent. The paper claims…

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The Hitchhiker's Guide to Tackling Project Euler: A Polyglot Adventure through 100 Mathematical Challenges

Greetings, fellow mathematical hitchhikers! Are you ready to embark on an interstellar journey across the fascinating universe of numbers and logic? Then buckle up, grab your towel, and prepare to navigate through the wondrous world of Project Euler, where mathematical challenges are waiting to be discovered and conquered. Project Euler, as any ardent hitchhiker knows,…

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Monitoring, Troubleshooting, and Maintaining Azure OpenAI GPT-3 Applications: Best Practices for Long-Term Success

Title: "Monitoring, Troubleshooting, and Maintaining Azure OpenAI GPT-3 Applications: Best Practices for Long-Term Success" Introduction In this blog post, we'll discuss best practices for monitoring, troubleshooting, and maintaining your Azure OpenAI GPT-3 applications to ensure their long-term success and stability. We'll cover topics like setting up monitoring, handling API errors, and updating your applications to…

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Efficiently Scaling Azure OpenAI GPT-3 Solutions: Optimization Techniques and Deployment Strategies

In this blog post, we will explore optimization techniques and deployment strategies to help you efficiently scale your Azure OpenAI GPT-3 solutions. We will discuss practical approaches to improve the performance and cost-effectiveness of your AI-powered applications, covering topics like prompt optimization, caching, and batch processing. We will also provide guidance on choosing the right…

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