How to Integrate the Microsoft Translator API in Your Code
A comprehensive beginner friendly guide- 28405Murphy ≡ DeepGuide
No Code GenAI Agents Workflow Orchestration: AutoGen Studio with Local Mistral AI model
Introduction to AutoGen and Mistral AI:- 26184Murphy ≡ DeepGuide
The Future of Generative AI is Agentic: What You Need to Know
Implementing AI Agents across LangChain, LlamaIndex, AWS, Gemini, AutoGen, CrewAI and Agent protocol- 23573Murphy ≡ DeepGuide
How to Implement and Test Phi3: Microsoft's Powerful New Large Language Model
Learn about Phi3: Microsoft's new LLM capable of tasks like question answering and information extraction- 26319Murphy ≡ DeepGuide
How to Use and Test WizardLM2: Microsoft's New LLM
Learn how to run and test Microsoft's new LLM, WizardLM2, and use it to perform tasks like question-answering and information extraction- 23159Murphy ≡ DeepGuide
Phi-3 and the Beginning of Highly Performant iPhone Models
This blog post will go into the findings of the Phi-3 paper, as well as some of the implications of models like Phi-3 being released- 23612Murphy ≡ DeepGuide
Understanding Long RoPE in LLMs
This blog post will go in detail about the new Long RoPE Methodology used to expand the context lengths LLMs can support without...- 29765Murphy ≡ DeepGuide
Maximize Savings on Your Unused Fabric Capacities
Disclaimer: This post will not cover what Microsoft Fabric is or how to use it. Fabric is a unified data platform that offers shared experiences, architecture, governance, compliance and billing. Capacities provide the computing power that drives all thes- 27442Murphy ≡ DeepGuide
My Experience Switching From Power BI to Looker (as a Senior Data Analyst)
What you need to know before you switch from Power BI to Looker.- 23665Murphy ≡ 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