Large Language and Vision Models Symposium, NYU Center for Data Science (2024)

GPT-3: Language Models are Few-shot Learners - Overview of GPT-3’s 175 billion parameter model and its few-shot learning capabilities without task-specific fine-tuning.

Llama 2: Open Foundation and Fine-Tuned Chat Models - Meta’s open-source LLM with dual reward models for balancing helpfulness and safety through RLHF.

Generative Agents: Interactive Simulacra of Human Behavior - AI-powered characters that simulate believable human behavior using memory, reflection, and planning architectures.

CLIP: Learning Transferable Visual Models from Natural Language Supervision - Vision-language model trained on 400 million image-text pairs for zero-shot transfer to downstream tasks.

Big Data Analytics Symposium, NYU Courant Institute (2024)

Tuning into Trends: An Analysis of Artists’ Streaming Popularity - Analysis of streaming popularity, lyrical emotion, and social media sentiment in the music industry.