Can AI Really Help You at Passing Interviews?
Thoughts, tips, and some prompts- 21123Murphy ≡ DeepGuide
Metrics Layer: A Single Source of Truth for All KPI Definitions
Learn why implementing a metrics layer will make gathering data-driven insights much more robust in your organization!- 25988Murphy ≡ DeepGuide
RecList 2.0: Open-Source Systematic Testing of ML Models
A new RecList to provide more flexibility and better support for evaluation- 20200Murphy ≡ DeepGuide
Google's Latest Approaches to Multimodal Foundational Model
Multimodal foundational models are even more exciting than large language models. This article reviews Google research's latest progress.- 28265Murphy ≡ DeepGuide
A Good Description Is All You Need
How to use few shot learning to improve text classification performance- 22676Murphy ≡ DeepGuide
Efficiently Serving Open Source LLMs
This article explains my personal experiences using 6 common methods for serving open source LLMs: AWS Sage Maker, Hugging Face...- 21164Murphy ≡ DeepGuide
Simulating a Theme Park: Understanding queue times with R
Simulating a theme park to understand queue times and learn how business processes can be optimised in R.- 25329Murphy ≡ DeepGuide
The Little Story About Generative AI: The Drawing Challenge
Understanding the concept of how Generative AI works- 23721Murphy ≡ DeepGuide
How AI Is Changing the Way We Code
Evidence from ChatGPT and Stack Overflow- 29999Murphy ≡ DeepGuide
RAG vs Finetuning – Which Is the Best Tool to Boost Your LLM Application?
The definitive guide for choosing the right method for your use case- 25679Murphy ≡ DeepGuide
Can We Stop LLMs from Hallucinating?
One of the greatest barriers to widespread LLM adoption may be inherently unsolvable.- 26132Murphy ≡ DeepGuide
The Next Step is Responsible AI. How Do We Get There?
Machine learning solutions take an important place in our lives. It is not only about performance anymore but also about responsibility.- 25759Murphy ≡ DeepGuide
AI-powered Personal VoiceBot for Language Learning
Language Mastery through AI: Integrating Speech-to-Text, Large Language Models, and Text-to-Speech for Enhanced Speaking Practice- 29654Murphy ≡ DeepGuide
Organizing Generative AI: 5 Lessons Learned From Data Science Teams
LLMs hold tremendous promise, but generating sustainable value will require more than a tiger team- 29171Murphy ≡ DeepGuide
Prompt Engineering – How to trick AI into solving your problems
7 prompting tricks, Langchain, and Python example code- 20492Murphy ≡ DeepGuide
How 25,000 Computers Trained ChatGPT
The breakthrough behind ChatGPT- 23735Murphy ≡ DeepGuide
Depth-Aware Object Insertion in Videos using Python
Instructions for placing 3D models in videos with a depth-aware method using Python- 22460Murphy ≡ DeepGuide
How I Leveraged Open Source LLMs to Achieve Massive Savings on a Large Compute Project
Unlocking Cost-Efficiency in Large Compute Projects with Open Source LLMs and GPU Rentals.- 23817Murphy ≡ DeepGuide
Navigating Industry-Specific AI: From Transitional Heroes to Long-Term Solutions
Strategies, Insights, and the Evolution of Industry-Specific Large Language Models- 27563Murphy ≡ DeepGuide
Decoding Tasks in Generative AI: The Building Blocks of Intelligent Systems
Part 1 of my Series on Generative AI for Large Enterprises: From Governance to Aggregating APIs.- 23108Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag