Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

# Emotion Detection from Text using NLP## 📘 Project OverviewThis project uses Natural Language Processing to detect emotions like joy, sadness, anger, and fear from text. It compares traditional ...

The models outperform GPT-4o and GPT-4o mini in all tasks, especially coding tasks. The new models support up to one million tokens of context, and can use that for better long-context comprehension.

The Neotron Model Family: A Closer Look At the core of NVIDIA’s recent breakthroughs lies the Neotron model family, which builds upon Meta AI’s Llama 3.1 and 3.3 models.

To support 3GPP’s increasing interest in the decoder-first approach, this year we replaced our original encoder-first demonstrations with decoder-first model training.

Humanizing AI by equipping it with emotion detection and empathy isn’t just a tech trend—it’s a fundamental shift in how humans and machines will coexist in the workplace of tomorrow.

TensorRT-LLM has long been a critical tool for optimizing inference in models such as decoder-only architectures like Llama 3.1, mixture-of-experts models like Mixtral, and selective state-space ...

Google says its new AI model family has a curious feature: the ability to “identify” emotions. Announced on Thursday, the PaliGemma 2 family of models can analyze images, enabling the AI to ...

Generative Pre-trained Transformers (GPTs) have revolutionized natural language processing by enabling machines to generate human-like text through deep learning and contextual understanding.