Publishing Details
Contact & Outreach
About This Podcast
Explore Statistics
Recent Episodes
AGI vs ASI: The future of AI-supported decision making with Louis Rosenberg
In this episode of Neural Search Talks, we have invited Louis Rosenberg, CEO of Unanimous.AI, to discuss the future of AI in decision-making, contrasting the development of artificial…
EXAONE 3.0: An Expert AI for Everyone (with Hyeongu Yun)
In this episode of Neural Search Talks, we welcome Hyeongu Yun from LG AI Research to discuss the newest addition to the EXAONE Universe: EXAONE 3.0. The model demonstrates strong capabilities in…
Zeta-Alpha-E5-Mistral: Finetuning LLMs for Retrieval (with Arthur Câmara)
In the 30th episode of Neural Search Talks, we have our very own Arthur Câmara, Senior Research Engineer at Zeta Alpha, presenting a 20-minute guide on how we fine-tune Large Language Models for…
ColPali: Document Retrieval with Vision-Language Models only (with Manuel Faysse)
In this episode of Neural Search Talks, we're chatting with Manuel Faysse, a 2nd year PhD student from CentraleSupélec & Illuin Technology, who is the first author of the paper "ColPali:…
Using LLMs in Information Retrieval (w/ Ronak Pradeep)
In this episode of Neural Search Talks, we're chatting with Ronak Pradeep, a PhD student from the University of Waterloo, about his experience using LLMs in Information Retrieval, both as a backbone…
Designing Reliable AI Systems with DSPy (w/ Omar Khattab)
In this episode of Neural Search Talks, we're chatting with Omar Khattab, the author behind popular IR & LLM frameworks like ColBERT and DSPy. Omar describes the current state of using AI models…
The Power of Noise (w/ Florin Cuconasu)
In this episode of Neural Search Talks, we're chatting with Florin Cuconasu, the first author of the paper "The Power of Noise", presented at SIGIR 2024. We discuss the current state of the field of…
Benchmarking IR Models (w/ Nandan Thakur)
In this episode of Neural Search Talks, we're chatting with Nandan Thakur about the state of model evaluations in Information Retrieval. Nandan is the first author of the paper that introduced the…
Baking the Future of Information Retrieval Models
In this episode of Neural Search Talks, we're chatting with Aamir Shakir from Mixed Bread AI, who shares his insights on starting a company that aims to make search smarter with AI. He details their…
Hacking JIT Assembly to Build Exascale AI Infrastructure
Ash shares his journey from software development to pioneering in the AI infrastructure space with Unum. He discusses Unum's focus on unleashing the full potential of modern computers for AI, search,…
The Promise of Language Models for Search: Generative Information Retrieval
In this episode of Neural Search Talks, Andrew Yates (Assistant Prof at the University of Amsterdam) Sergi Castella (Analyst at Zeta Alpha), and Gabriel Bénédict (PhD student at the University of…
S1E10 Task-aware Retrieval with Instructions
Andrew Yates (Assistant Prof at University of Amsterdam) and Sergi Castella (Analyst at Zeta Alpha) discuss the paper "Task-aware Retrieval with Instructions" by Akari Asai et al. This paper proposes…
S1E9 Generating Training Data with Large Language Models w/ Special Guest Marzieh Fadaee
Marzieh Fadaee — NLP Research Lead at Zeta Alpha — joins Andrew Yates and Sergi Castella to chat about her work in using large Language Models like GPT-3 to generate domain-specific training data for…
S1E8 ColBERT + ColBERTv2: late interaction at a reasonable inference cost
Andrew Yates (Assistant Professor at the University of Amsterdam) and Sergi Castella (Analyst at Zeta Alpha) discus the two influential papers introducing ColBERT (from 2020) and ColBERT v2 (from…
Evaluating Extrapolation Performance of Dense Retrieval: How does DR compare to cross encoders when it comes to generalization?
How much of the training and test sets in TREC or MS Marco overlap? Can we evaluate on different splits of the data to isolate the extrapolation performance? In this episode of Neural Information…
Open Pre-Trained Transformer Language Models (OPT): What does it take to train GPT-3?
Andrew Yates (Assistant Professor at the University of Amsterdam) and Sergi Castella i Sapé discuss the recent "Open Pre-trained Transformer (OPT) Language Models" from Meta AI (formerly Facebook).…
S1E5 Few-Shot Conversational Dense Retrieval (ConvDR) w/ special guest Antonios Krasakis
We discuss Conversational Search with our usual cohosts Andrew Yates and Sergi Castella i Sapé; along with a special guest Antonios Minas Krasakis, PhD candidate at the University of Amsterdam. We…
S1E4 Transformer Memory as a Differentiable Search Index: memorizing thousands of random doc ids works!?
Andrew Yates and Sergi Castella discuss the paper titled "Transformer Memory as a Differentiable Search Index" by Yi Tay et al at Google. This work proposes a new approach to document retrieval in…
Learning to Retrieve Passages without Supervision: finally unsupervised Neural IR?
In this third episode of the Neural Information Retrieval Talks podcast, Andrew Yates and Sergi Castella discuss the paper "Learning to Retrieve Passages without Supervision" by Ori Ram et al.…
S1E2 The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
We discuss the Information Retrieval publication "The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes" by Nils Reimers and Iryna Gurevych, which explores how Dense Passage…
Frequently Asked Questions
Neural Search Talks — Zeta Alpha has published 21 episodes since December 2021, covering topics in Technology.
Neural Search Talks — Zeta Alpha is currently dormant with new episodes monthly. Average episode length is 48m.
Sign up on Grep.FM to access contact details for Neural Search Talks — Zeta Alpha, including email and social media links.
