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.

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Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635

Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touch...

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Mojo: A Supercharged Python for AI with Chris Lattner - #634

Mojo: A Supercharged Python for AI with Chris Lattner - #634

Today we’re joined by Chris Lattner, Co-Founder and CEO of Modular. In our conversation with Chris, we discuss Mojo, a new programming language for AI developers. Mojo is unique in this space and simp...

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Stable Diffusion and LLMs at the Edge with Jilei Hou - #633

Stable Diffusion and LLMs at the Edge with Jilei Hou - #633

Today we’re joined by Jilei Hou, a VP of Engineering at Qualcomm Technologies. In our conversation with Jilei, we focus on the emergence of generative AI, and how they've worked towards providing thes...

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Modeling Human Behavior with Generative Agents with Joon Sung Park - #632

Modeling Human Behavior with Generative Agents with Joon Sung Park - #632

Today we’re joined by Joon Sung Park, a PhD Student at Stanford University. Joon shares his passion for creating AI systems that can solve human problems and his work on the recent paper Generative Ag...

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Towards Improved Transfer Learning with Hugo Larochelle - #631

Towards Improved Transfer Learning with Hugo Larochelle - #631

Today we’re joined by Hugo Larochelle, a research scientist at Google Deepmind. In our conversation with Hugo, we discuss his work on transfer learning, understanding the capabilities of deep learning...

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Language Modeling With State Space Models with Dan Fu - #630

Language Modeling With State Space Models with Dan Fu - #630

Today we’re joined by Dan Fu, a PhD student at Stanford University. In our conversation with Dan, we discuss the limitations of state space models in language modeling and the search for alternative b...

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Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629

Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629

Today we continue our coverage of ICLR 2023 joined by Dhruv Batra, an associate professor at Georgia Tech and research director of the Fundamental AI Research (FAIR) team at META. In our conversation,...

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AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628

AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628

Today we’re joined by Jerry Liu, co-founder and CEO of Llama Index. In our conversation with Jerry, we explore the creation of Llama Index, a centralized interface to connect your external data with t...

8 Maj 202341min

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