What kind of Christian books do you read?Jonathan Edwards, John Bunyan, J.C. Ryle, C.H. Spurgeon?

Yes, I've read the History of Redemption by Edwards, The Pilgrim's Progress and Holy War by Bunyan, quite a few Spurgeon sermons, and Holiness by Ryle in addition to (parts of) his commentaries on the gospels. I also read the puritans - I read Thomas Brook's Precious Remedies Against Satan's Devices and the Body of Divinity (Thomas Watson) last year.

Lately I've read a few older biographies/autobiographies - Thomas Scott's autobiography (The Force of Truth), Halyburton's autobiography, and James Henley Thornwell and Benjamin Morgan Palmer biographies.

Right now I'm reading the Life and Times of Jesus Messiah by Alfred Edersheim (19th century).

How about you?

I’m a Christian as well and spent a day in Oxford earlier this year. After spending some time at Magdalen College, I bought every book I could by C.S. Lewis and just finished Letters to Malcolm (on prayer) today.

His refreshingly honest take is very relatable, humorous and encouraging.

I can highly recommend it if you’re interested in prayer life (and how to use powerful formulations in letters)

Weights & Biases if they are serious and need performance and scale.

We are very serious about performance and scale, and have extensive experience with it. Check out https://minfx.ai

WandB and performance/scale, name a less iconic duo. There’s a reason many labs switched to Neptune.

Thanks for sharing this, I was not aware of it and I’m currently in the process of learning Hebrew, dealing with the intersection of (Jewish and Christian) culture and technology.

One example is a GPT version [1] fine tuned on texts of Sefaria [2].

The initiator was in direct contact with Sam Altman to kickstart it. (Personal communication).

He talks about this publicly [3]

[1]: https://github.com/Sefaria/AppliedAI [2]: https://www.sefaria.org/texts [3]: https://m.youtube.com/watch?v=tZkJl2fk0rc

There’s another thread from October 2022 on that topic.

https://news.ycombinator.com/item?id=33047634

What makes DVC especially useful for MLOps? Aren’t MLFlow or W&B solving that in a way that’s open source (the former) or just increases the speed and scale massively ( the latter)?

Disclaimer: I work at W&B.

DVC is much more basic (feels more unix style), integrates really well with any simple CI/CD scripting with git versioning without the need to set up any additional servers.

And it is not either or. People actually combine MLFlow and SVC [0]

[0] https://data-ai.theodo.com/blog-technique/dvc-pipeline-runs-...

Their CEO talks about this in the gradient dissent podcast [1]

[1]: https://m.youtube.com/watch?v=qNXebAQ6igs

Very interesting to see an LLM with weights and the code base. They also talk about tokenizer fertility in the HF model card [1]

[1]: https://huggingface.co/Aleph-Alpha/Pharia-1-LLM-7B-control

"Tokenizer fertility is a metric used to evaluate tokenizer performance and measures a tokenizer’s ability to represent text, calculated by dividing the number of tokens in a text (after tokenizing) by the number of words in that same text"

Thanks a lot I will check those out. I love used books, I already have found so many treasures that were unknown to me before.

You made my day with woulda shoulda cuda.

I’m going to watch finding NeMo now

You mean something like this?

https://targum.video/

You nailed it. Really appreciate you linking it up for a fr13nd.