At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom gene ... Show More
Oct 28
The future is Postgres (Changelog Interviews #688)
Craig Kerstiens returns to talk about the ever-expanding world of Postgres: a deliberately boring core, a thriving extension ecosystem, and pg_lake bringing DuckDB and Iceberg into the mix. We dig into the pain of ETL, what Craig is watching in Postgres 19, the impact of AI on op ... Show More
1h 46m
Oct 22
Building what's next (Changelog Interviews #687)
This week I'm talking with Zeno Rocha, CEO of Resend, about scaling "boring" email to 3 million users, the secret Go rewrite behind it, and building for agents. We cover pricing.md, MCP, spam gangs, and why Resend keeps what's next for email.
2 h
Oct 9
From zero to NanoClaw (Changelog Interviews #686)
Gavriel Cohen, creator of NanoClaw and co-founder of NanoCo, joins Adam to explain how a 40-hour weekend project became a viral open source hit and the foundation of an enterprise AI company. Gavriel describes the security concerns that led him to build a small, container-isolate ... Show More
2h 42m
Jun 2023
AI trends: a Latent Space crossover
Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. Th ... Show More
59m 39s
Nov 2022
The practicalities of releasing models
Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tw ... Show More
37m 19s
Feb 2025
The Future of Data Engineering: AI, LLMs, and Automation
Summary
In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large langua ... Show More
59m 39s
Dec 2023
Episode 174 - Live and In Person at Voice+AI 2023
<p>Join Allen Firstenberg and guest host Noble Ackerson, at the Voice and AI 2023 conference. They discuss the growth of AI and how LLM (large language models) are affecting the tech world and delve deep into topics like LangChain, generative AI, and how to optimize AI operations ... Show More
37m 48s
Dec 2023
706: AI and ML - The Pieces Explained
In this episode of Syntax, Wes and Scott talk about understanding the integration of different components in AI models, the choice between traditional models and Language Learning Models (LLM), the relevance of the Hugging Face library, demystify Llama, discuss spaces in AI, and ... Show More
33m 1s
Nov 2024
Clones, commerce & campaigns
Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and cl ... Show More
53m 11s