Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

Latest episodes

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Feb 8, 2024 • 1h 3min

Cloud Intelligence at the speed of 5000 tok/s - with Ce Zhang and Vipul Ved Prakash of Together AI

Ce Zhang and Vipul Ved Prakash of Together AI discuss transitioning from Apple, the importance of open source, the usage of GPUs in AI, distinguishing federated learning and disaggregated infrastructure, co-optimizing dimensions for inference improvement, exploring embeddings and their applications, and the goal of becoming more serverless.
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Feb 1, 2024 • 58min

Why StackOverflow usage is down 50% — with David Hsu of Retool

David Hsu of Retool, co-founder of Retool, discusses the history of Retool, their growth, and how they got to $1M ARR with 3 employees. They delve into the incorporation of AI into internal software, building and partnering in the software development space, AI survey results, current adoption rate of AI, and analogies in AI and the concept of AGI.
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Jan 25, 2024 • 1h 8min

The Four Wars of the AI Stack (Dec 2023 Audio Recap)

The Four Wars of the AI stack: data quality, GPU rich vs poor, multimodality, and RAG/Ops war. Selection process for the four wars and notable mentions. The end of low background tokens and the impact on data engineering. The Quality Data Wars; synthetic data. The GPU Rich/Poors War; Anyscale benchmark drama. Transformer alternatives and why they matter. The Multimodality Wars; Multiverse vs Metaverse. The RAG/Ops Wars; will frameworks expand up or will cloud providers expand down? Syntax to Semantics. Outer Loop vs Inner Loop.
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Jan 19, 2024 • 1h 12min

How to train your own Large Multimodal Model — with Hugo Laurençon & Leo Tronchon of HuggingFace M4

Hugo Laurençon and Leo Tronchon of HuggingFace M4 discuss training large multimodal models, the challenges of working with video data, image resolution in OCR tasks, and the importance of creating deduplication rules for the industry.
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Jan 11, 2024 • 1h 26min

RLHF 201 - with Nathan Lambert of AI2 and Interconnects

The podcast episode features Dr. Nathan Lambert, an expert in robotics and reinforcement learning. Topics include popular AI article topics, the evolution of preference modeling in language models, instruction tuning in RLHF, synthetic data and human labeling preferences, the release of toxicity data, transitioning to release models and AI policy, the comparison of GPT models, and retraining models and evaluation tools.
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Jan 5, 2024 • 1h 4min

The Accidental AI Canvas - with Steve Ruiz of tldraw

In this episode, host interviews Steve Ruiz, founder of tldraw, discussing his transition from fine art to product design. They cover topics like the evolution of tldraw, parallel prompting techniques, OCR text extraction, viral trends, and the potential of AI-assisted virtual systems.
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Dec 30, 2023 • 2h 42min

NeurIPS 2023 Recap — Top Startups

Startups featured in the podcast discuss topics such as AI models, NeurIPS conference, reverse engineering, training models, synthetic data generation, Perplexity's success, hard work and tenacity, building communities in AI, networking at conferences, large Arabic language models, Vauxhall's toolkit for AI engineers, and collaborations with Google Cloud.
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Dec 23, 2023 • 3h 20min

NeurIPS 2023 Recap — Best Papers

Hosts recap the NeurIPS 2023 conference, discussing best papers and influential topics such as direct preference optimization for language models, scaling data constraint language models, developing a visual intelligent assistant, understanding bunny boxes with GPT4, and using Tool Former to improve language models. They also explore using GPT-4 to play Minecraft, evaluating cognitive capacities through diverse tasks, analyzing language models' performance in planning tasks, and the impact of foundation models on AI systems.
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Dec 20, 2023 • 59min

The AI-First Graphics Editor - with Suhail Doshi of Playground AI

Suhail Doshi, Co-founder of Playground AI, discusses their image editor reimagined with AI in mind, featuring real-time preview rendering, style filtering, and prompt tuning. The podcast also explores topics like networking and AI in web browsers, AI artists and model evaluation, graphics tools for art generation, challenges in scaling and model optimization, modalities in AI, and the value of hands-on learning in AI projects.
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Dec 14, 2023 • 1h 20min

The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph

Beyang Liu and Steve Yegge from SourceGraph discuss code indexing, retrieval interfaces, and their SOTA 30% completion acceptance rate in Cody. They talk about the history of code search, RAG, fine tuning, data privacy, DSLs and LLMs, and the challenges and potential of AI coding agents.

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