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Mastering prompt engineering for better AI results
Prompt engineering has become a core skill for anyone working with AI, enabling sharper, more reliable, and context-aware outputs. By applying proven methods—like few-shot examples, chain-of-thought ...
03/10: Added support for latest transformer versions, which support Llama 3.1, 3.2 and other latest models. Expanded support to evaluate any LLM2vec model, check mteb_eval_custom.py 04/07: Added ...
GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...
JTokkit aims to be a fast and efficient tokenizer designed for use in natural language processing tasks using the OpenAI models. It provides an easy-to-use interface for tokenizing input text, for ...
Tom's Hardware on MSN
News site linked to OpenAI super PAC sent bots posing as journalists to interview real people
The site has published 94 articles since late December using a fully automated pipeline that drafts stories, reviews them, ...
Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...
Abstract: Ego-motion estimation is a key requirement for the simultaneous localization and mapping (SLAM) problem. The traditional pipeline goes through feature extraction, feature matching and pose ...
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