Pruning prompts into AI flow

Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work

I’ve worked on, conversation state tends to grow quickly over time. It’s common to resend large portions of the history on each turn—including older tool outputs, repeated RAG retrievals, and context that’s no longer relevant. As this accumulates, prompts can become significantly larger, which may increase inference cost and latency, and in some cases affect …

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Noob Series Fine Tuning Explained

Fine-Tuning Explained for Noobs (How Pretrained Models Learn New Skills)

  Contents# Inroduction# What Is Pretraining?# What Is Fine-Tuning?# How Is Fine-Tuning Done?# Two Common Types of Fine-Tuning# Is Fine-Tuning Always the Answer?# Extra Resources # Inroduction  This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have …

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kdn 7 steps to automating descriptive statistics with python feature

7 Steps to Automating Descriptive Statistics with Python

  Contents# Introduction# 1. Setting Up Your Environment and Loading the Data# 2. Getting the Baseline with df.describe()# 3. Pushing Pandas Further with include, .agg(), and groupby# 4. Getting a Richer Console Summary with skimpy# 5. Generating a Full Interactive Report with Profiling# 6. Building a Real “Table 1” with tableone# 7. Polishing It into a Publication-Quality Table with Great Tables# Tying It Together: …

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Rosidi Data Scientists Becoming AI Managers 1

Data Scientists Are Becoming AI Managers, Not Model Builders

  Contents# Introduction# Orchestrating and Managing Multi-Agent Systems# Supervising Agents and Closing the Production Gap# Evaluating Models and Engineering Prompts# Governing and Regulating AI Systems# Interpreting Business Impact# Conclusion # Introduction  Data scientists at companies running AI in production are spending more time on AI oversight and system supervision than on model construction. Job postings and salary data from 2025 and 2026 confirm …

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Assemble Each RAG Generation Prompt from a Base Prompt Plus the Rules Each Question Needs

part of the generation brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: document parsing, question parsing, retrieval, and generation. Article 8A (the answer contract) declared the typed schema family and the ANSWER_REGISTRY that maps each answer shape to its schema. This part builds the call that fills …

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kdn claude api python

Getting Started with the Claude API in Python

  Contents# Introduction# Prerequisites and Installation# Making Your First API Call# Understanding the Response Object# Using System Prompts# Streaming Responses# Next Steps # Introduction  You want to add Claude to a Python application. Creating an account and making your first API call is straightforward. The official documentation can get you from zero to a working request in a few minutes. The next questions …

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Google DeepMind and A24 launch research partnership

Today, Google DeepMind and A24 are announcing a first-of-its-kind partnership focused on research. The collaboration pairs a world-leading research lab with the industry’s most filmmaker-forward studio to help artists develop new workflows and techniques. This ensures the tools of the future are shaped by the creators who use them. This partnership creates a deep research …

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Tokenminning: How to Get More from Your Chatbot for Less

virus spreading through big tech. Engineers are being judged, directly or indirectly, by how much AI they can consume. More tokens, more output, more compute. Some companies even had leaderboards. It’s the 2026 version of ranking engineers by lines of code. ContentsLess is moreThe Cost of Tokenmaxxing1. Financial Cost2. Inference Speed3. Quality🛠️ Real strategies for …

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