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lexum.org Tutorial

What Is Preprocessing in Machine Learning? - The Signal Weave

This document outlines the purpose and scope of data preprocessing in machine learning, highlighting why clean data matters, the general steps involved, and how preprocessing applies to image data and model training.

4 mins read Listed 11 days ago in Brave News
blog.apify.com Tutorial

What is data ingestion for large language models?

The document explains how data ingestion for large language models collects, cleans, and prepares text and other media from multiple sources, detailing uses (pretraining, fine-tuning, retrieval), steps (source selection, extraction, cleaning, validation), and common challenges like duplicates and OCR, with examples of tools and practices.

9 mins read Listed 26 days ago in RSS: Apify Blog
github.com Documentation

GitHub - huggingface/fineweb-2 · GitHub

FineWeb 2 updates the multilingual FineWeb dataset with language-aware processing, deduplication, and PII anonymization. The pipeline includes per-language thresholds, rehydration through upsampling based on cluster size, and retained but adjusted filters, with evaluation run on a 1.46B model per language.

5 mins read Listed 12 days ago in reddit/MachineLearning/What actually broke when I tried to fine-tune on web-scraped data and what fixed it [D]
www.kingswaysoft.com Tutorial

Preparing and Ingesting Databricks Lakehouse Data into Dataverse

The document outlines a data integration workflow from Databricks to Dataverse, focusing on data quality cleansing near the source. It uses a Databricks SQL View to standardize fields and validate records, with valid data loaded into Dataverse and invalid data routed to SQL Server for review, while preserving a centralized, reusable cleansing approach separate from downstream ingestion.

10 mins read Listed 29 days ago in Bluesky
www.zoho.com Tools and repositories

Announcing Zoho DataPrep 3.0 | Build ETL pipelines faster with Agentic AI

Zoho DataPrep 3.0 adds Agentic Ask Zia for goal-based data pipelines, editable plans, and data enrichment with user approval. It also features a rebuilt engine, Python transforms, 10+ connectors, and the ability to run pipelines from external AI agents via MCP server.

5 mins read Listed 17 days ago in RSS: Zoho Blog
github.com Tools and repositories

GitHub - bruin-data/bruin: Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows. · GitHub

Bruin is a data pipeline tool that unifies ingestion, multi-language transformations, and data quality within a single framework. It runs on local machines, EC2, or GitHub Actions, includes templating, isolation for Python, and end-to-end dry-run validation.

1 min read Listed 23 days ago in reddit/LLMDevs/Open-source tool to run LLM models on DWH data
www.r-bloggers.com Tutorial

Shrink stored models with butcher | R-bloggers

The article explains how the butcher package reduces the storage size of trained models in an mlr3 workflow by removing non-essential components, demonstrates this with a logistic regression on a spam task, and shows how to apply the reduction via a resample callback without affecting prediction performance.

5 mins read Listed 9 days ago in RSS: R-bloggers
analyticsmadesimple.substack.com Tutorial

How to get clean text out of PDFs and scanned documents with AI

The tutorial explains how to extract text from PDFs and scanned documents while preserving reading order. It covers how column layouts affect extraction and why text chunks should follow page layout before embedding.

1 min read Listed 5 days ago in Substack: AI & Analytics Made Simple
shiftdelete.net News

AI Training Opt-Out: AI Giants Back One Robots.txt Rule

OpenAI, Google, Microsoft, and Anthropic back a single robots.txt token (__usage_ai-training) to let publishers block AI training with one entry. The token, from the IETF AI Preferences draft, is for training only and does not affect crawling or indexing. Rollout timelines vary by company; opt-out may reduce visibility in AI-powered experiences, with additional company-specific controls and page-level settings introduced by Microsoft. Regulatory and industry context shapes adoption.

4 mins read Listed 14 days ago in Brave News
huggingface.co Documentation

coder543/cohere-transcribe-glade · Hugging Face

The document documents Cohere Transcribe for Glade, including a pinned revision, licensing, hardware/runtime requirements, and architectural details of the encoder/decoder. It reports performance measurements on Apple Silicon, validation using JFK speech, and notes on preparation, caching, and device-specific artifacts.

3 mins read Listed 26 days ago in reddit/LocalLLaMA/llama.cpp support for Cohere models