Language
Talking with GPT-4o in a Fake Language • AI Blog
We wondered how well GPT-4o would cope with a totally fake language. To achieve this we used a rather poorly spelled phonetic way of writing the accent people in the west of Austria might have. So our fake language has similarities to German, but so do many other languages. Here is how the conversation went:…
How AI is Revolutionizing Selenium Automation: Language Integrations and Real-World Examples – Spritle software
Hey there, fellow tech enthusiasts! 🙋 Are you curious about how Artificial Intelligence (AI) is transforming the world of Selenium automation? Well, you’re in luck because today we’re going to dive into the amazing ways AI is enhancing Selenium automation, and explore some real-world examples using popular programming languages like Python, Java, and JavaScript. 1….
DeepSpeed: a tuning tool for large language models
Large Language Models (LLMs) have the potential to automate and reduce the workloads of many types, including those of cybersecurity analysts and incident responders. But generic LLMs lack the domain-specific knowledge to handle these tasks well. While they may have been built with training data that included some cybersecurity-related resources, that is often insufficient for…
Hugging Face shows how test-time scaling helps small language models punch above their weight
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a new case study, Hugging Face researchers have demonstrated how small language models (SLMs) can be configured to outperform much larger models. Their findings show that a Llama 3 model with 3B parameters can outperform…
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations Large language models (LLMs) are transforming how we access information, yet their grip on factual accuracy remains imperfect. They can “hallucinate”…
Virtual Personas for Language Models via an Anthology of Backstories
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors?…