
Sameer Singh
Assistant professor in the Department of Computer Science at UC Irvine. His research focuses on large-scale and interpretable machine learning applied to information extraction and natural language processing.
Top 3 podcasts with Sameer Singh
Ranked by the Snipd community

128 snips
Jan 23, 2023 • 1h 46min
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
In a fascinating discussion, Sameer Singh, an NLP expert and associate professor at UC Irvine, dives into the whirlwind world of AI advancements. He unpacks the transformative impact of ChatGPT and large language models, highlighting the importance of structured reasoning and clean data. Sameer also critiques the Galactica model with a nod to the public's expectations, explores practical uses like Copilot, and shares predictions for AI trends in 2023. His insights shed light on the evolving landscape of voice assistants and the intricate relationship between AI and search.

Apr 7, 2022 • 56min
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
Yasaman Razeghi, a PhD student at UC Irvine, discusses her groundbreaking research showing that large language models excel at reasoning tasks primarily due to dataset memorization. Prof. Sameer Singh, an expert in machine learning interpretability, shares insights on the perils of metric obsession in evaluating AI. They delve into the importance of understanding human-like reasoning in AI and advocate for nuanced metrics that truly assess model capabilities. Their engaging conversation shines a light on the future of model testing and explainability.

Jan 7, 2021 • 1h 22min
Trends in Natural Language Processing with Sameer Singh - #445
Sameer Singh, Assistant Professor at UC Irvine and an expert in natural language processing, dives into the latest trends in NLP. He discusses the profound impact of GPT-3 and Transformer models on the field. The conversation highlights the complexities of evaluating language models and their practical vulnerabilities. Sameer brings attention to the limitations of current models in achieving true natural language understanding. Additionally, he shares insights on the intersection of language and vision models, shaping the future of NLP.