Help improve language coverage in Common Crawl
By validating Language Identification data (LangID or LID): https://dynabench.org/tasks/text-language-identification By contributing urls for our seed crawl: https://github.com/commoncrawl/web-languages We're also organizing a Workshop on Multilingual Data Quality Signals (WMDQS) with MLCommons and.
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PageIndex for Reasoning-Based RAG
vectifyai.notion.siteLarge Language Models (LLMs) are powerful tools for language understanding and generation, but they suffer from a fundamental limitation: the context window. Most LLMs can only process a limited number of tokens at a time. For instance, Claude does not allow uploading very long documents in full, which makes tasks like long document analysis or question answering particularly challenging.
TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'.
LLM Playground
retool.comcompare results side by side
A CLI tool for managing and comparing LLM prompts using semantic diffing instead of traditional text-based comparison.
LogsQL
docs.victoriametrics.comopinionated query language for logs