abhi9u

10 ms·

121.
by abhi9u 3y ago
I'm not sure what is the state-of-the-art in sentiment analysis. However, GPT-3.5 and GPT-4 work great for it with few shot learning. You give a representative set of examples in the prompt and it works pretty well. On the topic of cla
122.
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
123.
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
124.
by abhi9u 3y ago
Thank you for submitting this. I am the author, feel free to ask any questions!
125.
Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
126.
How CPython Implements Reference Counting: Dissecting CPython Internals(codeconfessions.substack.com)
2 points by abhi9u 3y ago|0 comments
127.
How CPython Implements Reference Counting: Dissecting CPython Internals(codeconfessions.substack.com)
2 points by abhi9u 3y ago|0 comments
128.
How CPython Implements Reference Counting: Dissecting CPython Internals(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
129.
How CPython Implements Reference Counting: Dissecting CPython Internals(codeconfessions.substack.com)
2 points by abhi9u 3y ago|0 comments
130.
by abhi9u 3y ago
Yeah. Kevin Murphy just announced on Twitter that this is the final official version of the "Advanced Topics" book.
131.
Probabilistic Machine Learning: Advanced Topics(probml.github.io)
183 points by abhi9u 3y ago|19 comments
132.
LZ77 Is All You Need? Why Gzip and KNN Works for Text Classification(codeconfessions.substack.com)
3 points by abhi9u 3y ago|0 comments
133.
LZ77 Is All You Need? Why Gzip and KNN Works for Text Classification(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
134.
LZ77 Is All You Need? Why Gzip and KNN Works for Text Classification(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
135.
LZ77 Is All You Need? Why Gzip and KNN Works for Text Classification(codeconfessions.substack.com)
2 points by abhi9u 3y ago|0 comments
136.
by abhi9u 3y ago
That project has received only 20 commits since it was open sourced, with bare minimum readme. Doesn't look like they are interested in exposing it too much for outside use.
137.
by abhi9u 3y ago
Short summary - https://twitter.com/abhi9u/status/1684962764115308545
138.
LPython: Novel, Fast, Retargetable Python Compiler(lpython.org)
6 points by abhi9u 3y ago|6 comments
139.
by abhi9u 3y ago
I take your point that it could have been more strongly worded. The reason I say it "devliers unexpectedly well" is because the whole concept of using gzip for classification is unintuitive, and even after fixing the flaw it still
140.
by abhi9u 3y ago
Yes,that's true. This approach will not work as well as techniques which build a semantic model of the data, such as embeddings. For example if you want to do positive vs negative sentiment classification of movie reviews, this will pe
141.
by abhi9u 3y ago
Thank you for reading :-) I mentioned it towards the end, in the 2nd last paragraph. Those issues in the evaluation do bring its accuracy down a bit, even then it performs better than expected, considering it is doing knn on compressed data
142.
Decoding the ACL Paper: Gzip and KNN Rival Bert in Text Classification(codeconfessions.substack.com)
34 points by abhi9u 3y ago|10 comments
143.
by abhi9u 3y ago
I started one newsletter/blog couple of months back. I write blog style posts where I write detailed articles on technical topics for example explaining the AlphaDev results from DeepMind. And I also write a links digest style post eve
144.
by abhi9u 3y ago
I just started 2 months back. Here it is: https://codeconfessions.substack.com/ Here are some of my posts which have been well received: - https://codeconfessions.substack.com/p/creating-chatgpt-plug...
145.
Code Confessions Digest #4: News, and Resources from Last Week(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
146.
Tree-Structured Concurrency(blog.yoshuawuyts.com)
138 points by abhi9u 3y ago|29 comments
147.
by abhi9u 3y ago
On a Friday! Feels for Engineers handling this across companies. :-|
148.
Quantum random number generation based on a perovskite light emitting diode(nature.com)
2 points by abhi9u 3y ago|0 comments
149.
Code Confessions Digest: LLM CLI Tools, Assembly Programming, Compilers and More(codeconfessions.substack.com)
1 points by abhi9u 3y ago|0 comments
150.
Distributed Systems for Fun and Profit(book.mixu.net)
128 points by abhi9u 3y ago|6 comments

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