Tag

#nlp

26 articles

$Mistral's open model Shieldstral matches much larger safety models at a fraction of the size$

Mistral's open model Shieldstral matches much larger safety models at a fraction of the size

Learn to implement and use Mistral's open-source Shieldstral 3B safety model for content analysis. This tutorial teaches you how to load the model, create safety prompts, and interpret natural language responses for detecting safety violations.

Aug 521

Amazon reportedly scales back its Nova AI models and bets on a new Frontier research team

Learn how to create and fine-tune foundation models using Hugging Face's Transformers library, similar to Amazon's Frontier research team approach.

Jul 2839

73% of tech job listings require AI skills now: How to show off yours

Learn to build a simple AI chatbot that demonstrates practical AI skills using Python and machine learning libraries. Perfect for showcasing AI competencies in job applications.

Jul 1533

Lovable reportedly in talks to double its valuation to $13.2B

Learn to build a sentiment analysis system using Python and scikit-learn, similar to the AI platforms that drive companies like Lovable to achieve high valuations.

Jul 853

The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care

Learn to build an AI safety monitoring system that can detect potential jailbreak vulnerabilities in language models, similar to those discussed in recent news about Anthropic's Fable 5.

Jun 1973

OpenAI is bringing on some big guns in the lead-up to its IPO

Learn to implement key Transformer architecture components including attention mechanisms and multi-head attention using PyTorch, replicating the technology behind OpenAI's successful AI systems.

Jun 1877

Meta’s months-old AI unit is a soul-crushing gulag, say the engineers stuck inside it

Learn how to work with Meta's AI technology using Python and the Hugging Face Transformers library. This beginner-friendly tutorial teaches you to load pre-trained models, perform text analysis, and build practical AI applications.

Jun 1256

tech

Palantir’s Karp says Sanders will regret only asking for 50% of AI companies. Full nationalization is coming.

Learn how to work with AI models using Python and the Hugging Face Transformers library. This beginner-friendly tutorial teaches you to load and test sentiment analysis and text generation models.

Jun 1062

I tried Siri AI, and so far it actually works

This article explains how Apple's new Siri AI uses advanced natural language understanding to interpret complex multi-step commands from natural language, demonstrating the convergence of multiple AI technologies.

Jun 981

Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset

Learn to build a semantic search engine and open-status classifier using the ResearchMath-14k dataset, applying TF-IDF, embeddings, and clustering techniques.

Jun 447

I’m a Professional Fact-Checker. AI Is Wrong More Often Than You Think

Learn to build a practical fact-checking tool using Python and Hugging Face Transformers that can verify claims against evidence using state-of-the-art NLP models.

May 2685

South Korea’s deputy PM says AI wealth must benefit the public. The Samsung strike showed why.

Learn to build an AI-powered sentiment analysis tool that can process text and determine sentiment, similar to what companies like Samsung might use to understand labor tensions during AI implementation.

May 2378