OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674

OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674

Today we’re joined by Akshita Bhagia, a senior research engineer at the Allen Institute for AI. Akshita joins us to discuss OLMo, a new open source language model with 7 billion and 1 billion variants, but with a key difference compared to similar models offered by Meta, Mistral, and others. Namely, the fact that AI2 has also published the dataset and key tools used to train the model. In our chat with Akshita, we dig into the OLMo models and the various projects falling under the OLMo umbrella, including Dolma, an open three-trillion-token corpus for language model pretraining, and Paloma, a benchmark and tooling for evaluating language model performance across a variety of domains. The complete show notes for this episode can be found at twimlai.com/go/674.

Episoder(781)

Learning Transformer Programs with Dan Friedman - #667

Learning Transformer Programs with Dan Friedman - #667

Today, we continue our NeurIPS series with Dan Friedman, a PhD student in the Princeton NLP group. In our conversation, we explore his research on mechanistic interpretability for transformer models, ...

15 Jan 202438min

AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666

AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666

Today we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured ...

8 Jan 20241h 5min

AI Trends 2024: Computer Vision with Naila Murray - #665

AI Trends 2024: Computer Vision with Naila Murray - #665

Today we kick off our AI Trends 2024 series with a conversation with Naila Murray, director of AI research at Meta. In our conversation with Naila, we dig into the latest trends and developments in th...

2 Jan 202452min

Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664

Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664

Today we’re joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed’s insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of ...

28 Des 202348min

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663

Today we’re joined by Markus Nagel, research scientist at Qualcomm AI Research, who helps us kick off our coverage of NeurIPS 2023. In our conversation with Markus, we cover his accepted papers at the...

26 Des 202346min

Responsible AI in the Generative Era with Michael Kearns - #662

Responsible AI in the Generative Era with Michael Kearns - #662

Today we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we disc...

22 Des 202336min

Edutainment for AI and AWS PartyRock with Mike Miller - #661

Edutainment for AI and AWS PartyRock with Mike Miller - #661

Today we’re joined by Mike Miller, director of product at AWS responsible for the company’s “edutainment” products. In our conversation with Mike, we explore AWS PartyRock, a no-code generative AI app...

18 Des 202329min

Data, Systems and ML for Visual Understanding with Cody Coleman - #660

Data, Systems and ML for Visual Understanding with Cody Coleman - #660

Today we’re joined by Cody Coleman, co-founder and CEO of Coactive AI. In our conversation with Cody, we discuss how Coactive has leveraged modern data, systems, and machine learning techniques to del...

14 Des 202338min

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