sbpayne

6 ms·

31.
by sbpayne 7mo ago
This is great feedback! I'll work on an update tonight :)
32.
by sbpayne 7mo ago
yeah what I'm trying to get across here is that: Dspy does not solve an immediate problem, which is why many feel this way and consequently why it doesn't have great adoption! But on the other hand, I think people unintentionally
33.
by sbpayne 7mo ago
hahaha this has just been my entire last few years of experience :)
34.
by sbpayne 7mo ago
This is a surprising take to me! Would love to learn more about what you mean. I feel like the problems they solve seem so direct to me. For example: RLMs are an approach to long context problems. Not every problem is a good fit for RLMs
35.
by sbpayne 7mo ago
Yeah, I think Dspy often does not really show it's benefit until you have a good 'automated metric', which can be difficult to get to. I think the unfortunate part is: the way it encourages you to structure your code is good
36.
by sbpayne 7mo ago
I think this misunderstands the need for iteration! Maybe I could have written it more clearly :). The reality is that you don't want to re-deploy for every prompt change, especially early on. You want to get a really tight feedback lo
37.
by sbpayne 7mo ago
Oops! That's actually out of date from prior template I had. I don't actually consult at the moment :). Removing!
38.
by sbpayne 7mo ago
I don't know that you misunderstood. This is one of my biggest gripes with Dspy as well. I think it takes the "prompt is a parameter" concept a bit too far. I highly recommend checking out this community plugin from Maxime, i
39.
If DSPy is so great, why isn't anyone using it?(skylarbpayne.com)
227 points by sbpayne 7mo ago|120 comments
40.
by sbpayne 7mo ago
I consistently hear great things from Dspy users. At the same time, it feels like adoption is always low. Stranger still: it seems like every company I have worked with ends up building a half-baked version of Dspy.
41.
by sbpayne 9mo ago
This has been one of my favorite frameworks to use for AI development. I feel like it is pretty dead-simple to use. But also has a great quality: it gets the f** out of your way when you need it to. I feel like with a fast moving layer ben
42.
by sbpayne 1y ago
This is great but it does not “prevent”; it reduces the chances of. NER is not 100% performant. It is very good in many cases, but use with caution!
43.
Why RAG Is (Still) Not Dead(skylarbpayne.com)
3 points by sbpayne 1y ago|2 comments
44.
by sbpayne 1y ago
As new model releases support longer and longer context windows, there is a lot of discussion around whether RAG is still relevant. RAG is here to stay for a while: (1) Enterprises have much more data than reasonably will fit in a context w
45.
by sbpayne 1y ago
I have really enjoyed the conversations I have had with Jacopo and Ciro over the years. They have really revisited a lot of assumptions behind commonly used tools/infrastructure in the data space and build something that really has a m
46.
by sbpayne 2y ago
This is great! I personally found the original Anthropic MCP documentation pretty lacking in terms of how Claude Desktop used the MCP server(s), constraints, etc. For example, there is a pretty hard timeout which will cause the MCP server t
47.
by sbpayne 2y ago
Basic features: Create projects Projects can contain notes and audio (uploaded or recorded in browser) Then theres an AI chat in the project where the docs/audio are available as context (multimodal models used) Its definitely very ear
48.
by sbpayne 2y ago
I have been building my own app for this recently. Its very early, but I have been shaping 3 songs with it already and am starting to get some friends to try it. I am self taught with songwriting/music so I think it might reflect my ow
49.
by sbpayne 2y ago
Interesting! I find I very often have to do this with humans. But yes, the repeat mistakes is a thing. This is where ensuring I output context along the way is helpful. Although it's maybe annoying to "re-refer" to the contex
50.
by sbpayne 2y ago
I think there's some updates I can make to this to give some guidance around the (1) you have to know a lot of things point. You can use AI assistance to help learn more. But ultimately, I don't believe we are at the point where t
51.
by sbpayne 2y ago
Interesting! Do you have an example with code? I am struggling to adapt the cheeseburger example to something with code.
52.
How to stop fighting with your AI pair programmer(skylarbpayne.com)
8 points by sbpayne 2y ago|15 comments
53.
by sbpayne 2y ago
I noticed a lot of people complaining about Cursor agent being bad. And my initial experience was bad. After working with it for a while, I found a workflow that works for me; I hope it's helpful for you too!
54.
by sbpayne 2y ago
It's curious to me how many people think "just convert it to a different filetype" will solve the problem. Do you think there are other professions/industries that would benefit from this?
55.
by sbpayne 4y ago
I started using an app called Intent -- it seems to support a lot of these features. I've been very impressed with it.
56.
by sbpayne 5y ago
I'm so glad I can see this again. I forgot how much I missed this.
57.
by sbpayne 5y ago
For AI/ML related patents, I’m not sure innovation is stifled insofar as people mostly don’t pay attention to them. Most of the techniques that _every_ company is using are patented, but no one seems to notice. Admittedly I’m sure ther
58.
by sbpayne 5y ago
I’m sorry to hear that you’re feeling like an outcast. First, I want you to know these feelings are reasonable and you’re not alone in feeling that way. Second, while it may seem hopeless or insurmountable, you can make changes. You have an
59.
by sbpayne 6y ago
If the company is not “remote first,” I think there’s a reasonable argument that your value is not location independent. That being said, I can’t really think of a good argument for anything beyond pay based on in-office vs remote.
60.
by sbpayne 6y ago
+1. I generally say that data scientists bring an amazing skillet to the table, but companies can only leverage 10% of it.

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