rckrd

10 ms·

61.
by rckrd 3y ago
I just released a zero-shot classification API built on LLMs https://github.com/thiggle/api . It always returns structured JSON and only the relevant categories/classes out of the ones you provide. LLMs are excelle
62.
Categorization and Classification with LLMs(matt-rickard.com)
2 points by rckrd 3y ago|0 comments
63.
The Circular Startup Economy(matt-rickard.com)
1 points by rckrd 3y ago|0 comments
64.
The Anti-AI Movement(blog.matt-rickard.com)
1 points by rckrd 3y ago|0 comments
65.
Customer Obsession Is the Only Winning Strategy(matt-rickard.com)
1 points by rckrd 3y ago|0 comments
66.
Embrace. Extend. Extinguish(matt-rickard.com)
2 points by rckrd 3y ago|1 comments
67.
by rckrd 3y ago
Yep -- matt (at) matt-rickard.com
68.
by rckrd 3y ago
Thank you! I'm waiting to write this post (I follow Patrick Collison's advice methodology -- wait 10 years before you can accurately reflect [0]). But here's Marc Andreessen thoughts: > "Seek to be a double/tripl
69.
by rckrd 3y ago
It used to be self-hosted, but I recently moved the list to Substack to make it easier for readers if they have an existing Substack account.
70.
by rckrd 3y ago
Thank you!
71.
by rckrd 3y ago
https://matt-rickard.com 779 blog posts. Writing about engineering, startups, math, and AI. Many of the posts have rich discussions on HN. You can see the top ones here: https://hn.algolia.com/?dateRange=all&
72.
Where AI Fits in Engineering Organizations(matt-rickard.com)
1 points by rckrd 3y ago|0 comments
73.
Google search's death by a thousand cuts(matt-rickard.com)
313 points by rckrd 3y ago|319 comments
74.
Working on the Right Problems(matt-rickard.com)
12 points by rckrd 3y ago|0 comments
75.
Personal Lessons from LLMs(matt-rickard.com)
11 points by rckrd 3y ago|0 comments
76.
The Low-Background Steel of AI(matt-rickard.com)
5 points by rckrd 3y ago|0 comments
77.
Why Does Google Kill So Many Products?(matt-rickard.com)
56 points by rckrd 3y ago|67 comments
78.
A Token Efficient Language for LLMs(matt-rickard.com)
10 points by rckrd 3y ago|0 comments
79.
LLMs for Software Portability(matt-rickard.com)
3 points by rckrd 3y ago|0 comments
80.
The Last Innings of Web 2.0(matt-rickard.com)
2 points by rckrd 3y ago|0 comments
81.
ChatGPT Plugins Don't Have PMF(matt-rickard.com)
4 points by rckrd 3y ago|1 comments
82.
Reasons to Do a Startup(matt-rickard.com)
6 points by rckrd 3y ago|0 comments
83.
The Myth of the AI Infrastructure Phase(matt-rickard.com)
4 points by rckrd 3y ago|0 comments
84.
LLMs for Code(matt-rickard.com)
1 points by rckrd 3y ago|1 comments
85.
Practical Dependency Management for Developers(matt-rickard.com)
2 points by rckrd 3y ago|0 comments
86.
The Problem with Tokenization in LLMs(matt-rickard.com)
1 points by rckrd 3y ago|0 comments
87.
Prompt Engineering Is Configuration Engineering(matt-rickard.com)
11 points by rckrd 3y ago|2 comments
88.
A List of Leaked System Prompts(matt-rickard.com)
2 points by rckrd 3y ago|0 comments
89.
by rckrd 3y ago
For a less dramatic strategy with LLMs that expose the tokenizer vocabulary, you can use context-free grammars to constrain the logits according to the parser so that the LLMs only generate valid next tokens for the language.[0] [0] https:&
90.
by rckrd 3y ago
Here's mine that runs entirely in the browser and doesn't send any data to a server[1] [1] https://chat.matt-rickard.com

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