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Introducing NumPy, Part 2: Indexing Arrays

Quick Success Data ScienceSlicing and dicing like a professional

Constructing a Multilingual Multi-Agent Chat Application Using LangGraph — Part I

The backbone of this application are the agents and their interactions. Overall, we had two several types of agents :User Agents: Agents attached to every user. Primarily tasked with translating incoming messages into the...

Reinforcement Learning, Part 7: Introduction to Value-Function Approximation

Scaling reinforcement learning from tabular methods to large spacesReinforcement learning is a site in machine learning that introduces the concept of an agent learning optimal strategies in complex environments. The agent learns from its...

ChatGPT vs. Claude vs. Gemini for Data Evaluation (Part 2): Who’s the Best at EDA?

Five criteria to match ChatGPT, Claude, and Gemini in tackling Exploratory Data Evaluation· Context· What's EDA· Evaluation Criteria· Problem Setup· ChatGPT-4o· Claude 3.5 Sonnet· Gemini Advanced· Final ResultsWelcome back to the second installment of...

How one can Create Well-Styled Streamlit Dataframes, Part 1: Using the Pandas Styler

Streamlit and the pandas Styler object will not be friends. But, we'll change that!I even have at all times been a fan of the styler method in pandas. Once I began constructing Streamlit apps,...

ChatGPT vs. Claude vs. Gemini for Data Evaluation (Part 1)

Ten inquiries to test which AI assistant writes the perfect SQL· Context· Let’s Compare Their SQL Skills!· Round 1: Problem Solving (LeetCode SQL)· Round 2: Business Logic· Round 3: Query Optimization· Summary· What’s NextWelcome...

Predicting metadata for humanitarian datasets with LLMs part 2 — An alternative choice to fine-tuning

The generate-test-train-data.ipynb notebook provides all of the steps taken to create test and training datasets, but listed below are some key points to notice:1. Removal of automatic pipeline repeat HXL dataOn this study, I...

Advanced Retrieval Techniques in a World of 2M Token Context Windows, Part 1

Exploring RAG techniques to enhance retrieval accuracy

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