Episode 191 - Beyond the Hype: Exploring BERT

In part two of this insightful conversation, Allen and Sam Witteveen dive deep into the rapidly expanding world of AI models beyond the "big three." They explore the impact of open-weight and Chinese models like DeepSeek, Mistral, and Qwen, discussing their impressive efficiency ...  Show more

In Part 1 of a two-part series, guest host Sam Witteveen joins Allen to catch up and dive deep into the rapidly evolving world of AI models. Sam shares his fascinating journey from being a successful pop songwriter to becoming a Machine Learning Google Developer Expert (GDE) and ...  Show more

deepset works to get more meaningful search results. Deepset uses transfer learning, language models, and question and answer to drive search results. Making sense of text data. deepset is an open source company. It uses natural language processing to answer questions using bert. ...  Show more

If the topic of databases is brought up to certain people, their eyes may gloss over. But if that happened, that would be because they just don’t know the awesome power of databases. Data can be valuable but only if it is contextualized, and time is an extremely relevant aspec ...

https://www.solgood.org - Check out our Streaming Service for our full collection of audiobooks, podcasts, short stories, & 10 hour sounds for sleep and relaxation at our website Are you curious about the inner workings of a language model? Want to know how AI is revolutionizing ...  Show more

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ...