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Their words
Moving a vaccine out of that category adds significant implementation barriers that will erode access to vaccines.
Related posts
Lilian Weng GitHub
transformer-tensorflow — Implementation of Transformer Model in Tensorflow
tensorflowtransformerimplementation
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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18 September
16 September
15 September
14 September
10 September
9 September
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Their words
So, in short, we can say that using looped transformers can improve model quality at a fixed compute budget if the model is large enough.
8 September
2 September
26 August
From one piece DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501 2 beliefs, in the piece's order there
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korrents.com
Vibe coding is not programming, and the line between them is whether you look at the implementation at all.Their words
And vibe coding, if we define it here, is you tell an agent to build software for you. You do not look at the implementation. That, to me, is what separates vibe coding from programming or, let's say, agent-accelerated development.
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Their words
The other thing I'd say is that most organizations don't know what they want. They don't know how to make it better. They're not bottlenecked on implementation. They're bottlenecked on ideas. They're bottlenecked on vision. They're bottlenecked on taste. And if you don't have those element in excess of your implementational capacity, it doesn't help. So you can make a lot of shitty ideas come true, then what?
22 August
19 August
14 August
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Their words
buuuut my roadmap is’nt ten times shorter. and I’m definitely not ten times better at deciding what is worth building. teams haven’t started casually shipping a year of product work every month. you can look around and and it’s hard to say what software has gotten meaningfully better in the last year.
10 August
15 July
From one piece Context engineering with Dex Horthy 2 beliefs, in the piece's order there
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Their words
I think context engineering has been so long lived because it's it's grounded in the fundamentals of how transformer attention works and until we have post transformer models or linear attention or whatever it is which who knows when that's going to happen context engineering will be interesting and important to anyone building on AI
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Their words
I do the research I do the plan I do the implementation I throw the docs out and the next time I need research I just do it from scratch because tokens are cheap and my time is expensive
10 July
7 July
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Lovedrcmnd.app
Django MigrationsTheir words
My favorite implementation of this pattern remains Django’s Migrations
3 July
15 June
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Usesrcmnd.app
gemma-4-26b-a4bTheir words
I've so far been using gemma-4-26b-a4b LM Studio implementation as my default local model.
6 June
2 June
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Their words
This isn't a Go60 limitations of course, every single keyboard on the market, that isn't Apple, will have the same limitations.
25 May
21 May
10 May
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Their words
corporations, organizations are the oldest form of artificial intelligence on the planet. They are an example of this emergent intelligence.
4 May
3 May
16 April
7 April
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korrents.com
Frontier AI models still cannot handle certain deep technical implementation details without human guidanceTheir words
This took some special care, in particular avoiding any C++ standard library I/O functionality. Current frontier AI cannot handle this detail on their own.
4 March
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Their words
once there is a good plan, it will one-shot the implementation almost every time.
9 February
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Their words
Tariffs, and especially the erratic implementation of them, are teaching our allies and enemies alike that the US is no longer a reliable trading partner.
19 January
5 October 2025
20 June 2025
9 June 2025
9 March 2025
7 March 2025
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Their words
Vibe coding can execute instructions, but deciding what the software should do and why is not automated. Product managers and designers must still do user research, market analysis, and creative brainstorming. In that sense, vibe coding changes the implementation phase more than the planning phase of the product lifecycle.
12 February 2025
3 February 2025
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Their words
To some extent, training a model does effectively nothing. They have a model. The thing that Dario is sort of speaking to is the implementation of that model, once trained to then create huge economic growth, huge increases in military capabilities, huge increases in productivity of people, betterment of lives.
31 August 2024
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Their words
What I’m saying is that art requires making choices at every scale; the countless small-scale choices made during implementation are just as important to the final product as the few large-scale choices made during the conception.
15 August 2024
19 June 2024
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korrents.com
The transformer was close to the last answer in architecture: nothing about the core design has changed since 2017.Their words
And that is the, I would say, it’s almost like the last answer. Nothing has changed since 2017 except maybe a few changes on what the nonlinearities are and how the square descaling should be done. Some of that has changed.
1 May 2023
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Their words
Good tools let the user choose when to switch between implementation and evaluation. When I work with a chatbot, I'm forced to frequently switch between the two modes.
24 March 2023
27 January 2023
10 January 2023
1 April 2022
24 April 2021
10 December 2019
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Usesrcmnd.app
Google ColabTheir words
spending an increasing amount of my free time working with tools like Google Colab, Runway ML, TensorFlow, and Hugging Face to play around with machine-generated text, audio, imagery, and video.
20 October 2018
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Their words
Did you know, the tests you write with react-testing-library look almost identical to the tests you write with vue-testing-library. Magic things happen when you don't test implementation details. :)
27 August 2018
9 February 2018
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Their words
Directness is best in my experience, so a great photo, memorable illustration, or pitch-perfect sentence does most of the work. Beyond that, fancy implementation has never moved the needle much for my clients.
19 November 2017
12 June 2017
From one piece Attention is all you need 2 beliefs, in the piece's order there
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korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
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Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
From one piece Attention is all you need 2 beliefs, in the piece's order there
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korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
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Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
From one piece Attention is all you need 2 beliefs, in the piece's order there
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korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
From one piece Attention is all you need 2 beliefs, in the piece's order there
-
korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
From one piece Attention is all you need 2 beliefs, in the piece's order there
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
-
korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
From one piece Attention is all you need 2 beliefs, in the piece's order there
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
-
korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
From one piece Attention is all you need 2 beliefs, in the piece's order there
-
korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
From one piece Attention is all you need 2 beliefs, in the piece's order there
-
Their words
To the best of our knowledge, however, the Transformer is the first transduction model relying entirely on self-attention to compute representations of its input and output without using sequence-aligned RNNs or convolution.
-
korrents.com
Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.Their words
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
2 April 2016
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