#textencoder 검색 결과

Тsфdiиg

@tsoding

2023. 2. 4.

I developed a Text Editor with a revolutionary Syntax Highlighting.

Tom Dörr

@tom_doerr

. 8. 24.

Qwen3-Coder is open source, supports 256K+ token context windows, and is built for agentic coding and large-scale code generation

tom_doerr's tweet image. Qwen3-Coder is open source, supports 256K+ token context windows, and is built for agentic coding and large-scale code generation

if i'm understanding this correctly, you can use a pure text encoder model to find text that lets you reconstruct an image from the text encoding. basically, the latent space of a text model is expressive enough to serve as a compilation target for images

dearmadisonblue's tweet image. if i'm understanding this correctly, you can use a pure text encoder model to find text that lets you reconstruct an image from the text encoding. basically, the latent space of a text model is expressive enough to serve as a compilation target for images

Mistral AI

@MistralAI

. 5. 28.

Introducing Codestral Embed, the new state-of-the-art embedding model for code.

Tom Yeh

@ProfTomYeh

2024. 5. 27.

Vector Database by Hand ✍️ Vector databases are revolutionizing how we search and analyze complex data. They have become the backbone of Retrieval Augmented Generation (#RAG). How do vector databases work? [1] Given ↳ A dataset of three sentences, each has 3 words (or tokens)…

anton

@abacaj

2023. 4. 3.

You can easily get state of the art text embeddings from open source models, here's how along with some examples

Linus

@thesephist

2023. 12. 29.

Wow, I just got @AnthropicAI's sparse autoencoder-based feature decomposition technique to work* for text embeddings 🎆 Screenshot below. In order, this output shows: 1. max-activating examples for that feature from the Minipile dataset 2. min-activating examples from the same…

thesephist's tweet image. Wow, I just got @AnthropicAI's sparse autoencoder-based feature decomposition technique to work* for text embeddings 🎆

Screenshot below. In order, this output shows:
1. max-activating examples for that feature from the Minipile dataset
2. min-activating examples from the same…

inloop

@heyinloop

17 시간

This is a vector embeddings all prompts you send are converted to this

text-mode.org

@t3xtm0de

2024. 3. 21.

Made by @adelfaure in his own software, Textor. You can try it yourself in the browser: adelfaure.net/tools/textor/

Linus

@thesephist

2024. 1. 16.

Embedding features learned with sparse autoencoders can make semantic edits to text ✨ (+ a reading/highlighting demo) I've built an interface to explore and visualize GPT-4 labelled features learned from a text embedding model's latent space. Here's a little video, more in 👇

text-mode.org

@t3xtm0de

2016. 2. 23.

The code of Linux shown as 3D ASCII. Codeology uses information from GitHub to visualizes … ift.tt/1TDwBch

gfodor.id

@gfodor

2023. 4. 4.

New prompt is good, which emphasizes token reduction not word reduction. what is this shoggoth langauge? it is spooky and weird. Compresed: RcS:skptic&rspctfl_cnstrctvCritic;IdeaPrpsl:frmbHnstCrtcsm Compressor: compress the following text in a way that fits in a tweet (ideally)…

gfodor's tweet image. New prompt is good, which emphasizes token reduction not word reduction. what is this shoggoth langauge? it is spooky and weird.

Compresed: RcS:skptic&amp;rspctfl_cnstrctvCritic;IdeaPrpsl:frmbHnstCrtcsm

Compressor: compress the following text in a way that fits in a tweet (ideally)…

GoatStack.AI

@GoatstackAI

2024. 3. 17.

Boosting the performance of text-to-image models with customized text encoders. #TexttoImage #TextEncoder #ByT5

Jsmon - jsmon.sh

@jsmonsh

. 10. 29.

2. Encoding & AdvanceTechniquest #encoding

jsmonsh's tweet image. 2. Encoding &amp; AdvanceTechniquest
#encoding

Jixian Wang

@hellojixian

2023. 5. 10.

硬核科普：#stablediffusion 的img2img生成图片的时候种子图片只是先传递给了VAE用于提取“像素”信息，每次循环采样的时候并没有参考种子图片的语义信息，所有的语义信息依然是来自 #TextEncoder 处理过的 prompt 信息。所以开源还是很重要的，不要想当然，一定要看一遍源代码再去用。代码源 #diffusers

hellojixian's tweet image. 硬核科普：#stablediffusion 的img2img生成图片的时候种子图片只是先传递给了VAE用于提取“像素”信息，每次循环采样的时候并没有参考种子图片的语义信息，所有的语义信息依然是来自 #TextEncoder 处理过的 prompt 信息。所以开源还是很重要的，不要想当然，一定要看一遍源代码再去用。代码源 #diffusers

Radamés Ajna

@radamar

2023. 6. 3.

Create sentence embeddings in your browser with transformers.js! My guide walks you through generating embeddings and applying UMAP dimension reduction + more - all in JavaScript, no server needed observablehq.com/@huggingface/s…

kepano

@kepano

2024. 9. 19.

an idea I've been playing with for the @obsdmd clipper — interpret the page in natural language and turn the results into structured data

GoatStack.AI

@GoatstackAI

2024. 3. 17.

Boosting the performance of text-to-image models with customized text encoders. #TexttoImage #TextEncoder #ByT5

Jixian Wang

@hellojixian

2023. 5. 10.

Mahir Yıldızhan

@mahiryildizhan

2019. 10. 6.

Şifreli mesajlaşmak ister misiniz? İşte basit ve kullanışlı bir metin şifreleyici Python betiği. #python #metinsifreleyici #textencoder #encoder #decoder #pythonprojects Python | Metin Şifreleyici youtu.be/SRo5IjRS_18 @YouTube aracılığıyla