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1865721226620236176 | Making MLX run on Windows, natively, not WSL or MinGW. https://t.co/qOn9phNf7e | https://twitter.com/i/web/status/1865721226620236176 | [
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1865765748209062099 | @zcbenz Interesting!
It does run, because I usually convert big models on Linux servers.
But there is some digging to do for full support
Great thing is that MLX is built using Cpp so it’s possible. | https://twitter.com/i/web/status/1865765748209062099 | [
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1865482724351287420 | If you have a Macbook Pro M series with at least 64 GB's of RAM you can now run a GPT-4 level LLM locally!
1. Install @ollama
2. Open your terminal and run ollama pull llama3.3
3. Then ollama run llama3.3 "your prompt"
Your own personal AI is here! https://t.co/jakuVlMteE | https://twitter.com/i/web/status/1865482724351287420 | [
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1865081419015352689 | Gemini-exp-1206, our latest Gemini iteration, (with the full 2M token context and much more) is available right now for free in Google AI Studio and the Gemini API.
I hope you have enjoyed year 1 of the Gemini era as much as I have. We are just getting started : ) | https://twitter.com/i/web/status/1865081419015352689 | [
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1865441145788199051 | Pro Tip: if you upgrade from ChatGPT Plus to Pro near the end of your billing cycle you only pay a percentage of $200 for the remaining days.
So you can try unlimited o1 for much less. | https://twitter.com/i/web/status/1865441145788199051 | [
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1865632091427520591 | nbsanity now has a bookmarklet https://t.co/VSIrhDXrVS
Thanks to @OAustegard
It's a static server that renders public Jupyter notebooks with Quarto | https://twitter.com/i/web/status/1865632091427520591 | [
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1865534628691677683 | Thanks @_akhaliq! Florence-VL is the first large multimodal model equiped with the popular Florence-v2 vision encoder.
The combination is NOT deliberate, but originated from a deep study based on our proposed visual-semantic alignment metric for different vision encoders and… https://t.co/xSaOgDNfCP https://t.co/0McPgdRdMr | https://twitter.com/i/web/status/1865534628691677683 | [
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1865515272032882723 | “we just announced that we are building a 2 gigawatt+ data center in louisiana that we are going to use to train future versions of LLAMA”
that’s the same power consumed by 1.6 million homes, roughly as many as there are in georgia
https://t.co/TZYXMSe12Q | https://twitter.com/i/web/status/1865515272032882723 | [
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1865522970241708391 | https://t.co/gsnXHNxFGA | https://twitter.com/i/web/status/1865522970241708391 | [
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1865522967041433959 | Instructed Sonnet to generate a nice readme for my perplexity-search repo. It now looks like a proper project even though it's just making an API call https://t.co/cn6Ms593y7 | https://twitter.com/i/web/status/1865522967041433959 | [
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1865444655342506155 | Running @exolabs AI cluster with @Raspberry_Pi 4.
exo leverages any spare hardware you have available and puts it to use on AI workloads by splitting them across all devices,
You know you've built something magical when you're continually surprised by what people do with it. https://t.co/3Li0Cu6sB7 https://t.co/3xuonvUDaJ | https://twitter.com/i/web/status/1865444655342506155 | [
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1865589927540342801 | https://t.co/u6pljatcvL | https://twitter.com/i/web/status/1865589927540342801 | [
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1865589925170528646 | "Take control of your AI agents" https://t.co/ohYy7ymC7l | https://twitter.com/i/web/status/1865589925170528646 | [
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1865305243048718519 | Sinterklaas kwam een dag te laat langs. Op zijn mijter stond in gouden letters ‘De Standaard” geborduurd. Op zijn staf kon je ook nog in kronkelende kapitalen ‘De Letteren’ lezen. De goede man haalde onderstaand artikel uit zijn zak.
https://t.co/2MUIlqKmoy | https://twitter.com/i/web/status/1865305243048718519 | [
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1865419965190328488 | currently having my mind blown reading this book in a coffee shop. seriously wtf, wish i found this sooner. https://t.co/ZAfmw820d9 | https://twitter.com/i/web/status/1865419965190328488 | [
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1865010068204486915 | Florence-VL challenges the status quo in Vision-Language Models!
Even Google's PaliGemma 2 dropped yesterday (still using SigLIP), Florence-VL shows us there might be a better way! Here's why this matters 👇
📸 Look at this revealing visualization:
Left: Three test images… https://t.co/IkBTsZSNBW | https://twitter.com/i/web/status/1865010068204486915 | [
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1865399992690544866 | @willmcgugan You can hit https://t.co/6rsWJpgkNp, then grab response["info"]["version"] | https://twitter.com/i/web/status/1865399992690544866 | [
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1865188121060712479 | Command:
mlx_lm.generate --model mlx-community/Llama-3.3-70B-Instruct-4bit --max-tokens 256 --prompt "Do avocado trees grow in the bay area?"
Thanks to @Prince_Canuma for converting the models. A bunch of different quants (3, 4, 6, 8, etc) are up the MLX Community:… | https://twitter.com/i/web/status/1865188121060712479 | [
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1865199571988611382 | 🐍📺 Using Data Classes in Python [Video] — https://t.co/cVTmP8wjDR
#python https://t.co/pm7AaPnLjY | https://twitter.com/i/web/status/1865199571988611382 | [
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1688849233967730688 | Some research informed thoughts on adding brief sprints to low-intensity (LIT) sessions:
1. Keep the duration down to 3 to 4 seconds! This is the typical "Alactic" duration. Even extending to 6-8 seconds will result in significant lactate production. If you drop in a block of… | https://twitter.com/i/web/status/1688849233967730688 | [
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1865170551368519958 | omg that slide took me probably a whole evening lol https://t.co/aTuIFrTD7a | https://twitter.com/i/web/status/1865170551368519958 | [
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1865203069639709079 | "Mastering Applied AI, One Concept at a Time" https://t.co/ByXiy0rJzN | https://twitter.com/i/web/status/1865203069639709079 | [
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1865203078040826254 | https://t.co/71G609LHhe | https://twitter.com/i/web/status/1865203078040826254 | [
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1865034787582251340 | PaliGemma2 for image to JSON data extraction
- used google/paligemma2-3b-pt-336 checkpoint; I tried to make it happen with 224, but 336 performed a lot better
- trained on A100 with 40GB VRAM
- trained with LoRA
colab with complete fine-tuning code: https://t.co/M1lbYXQUg6 https://t.co/DHNHGePaqM | https://twitter.com/i/web/status/1865034787582251340 | [
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1865187697146700273 | Llama 3.3 70B 4-bit runs nicely on a 64GB M3 Max with in MLX LM (~10 toks/sec). Would be even faster on an M4 Max.
Yesterday's server-only 405B is today's laptop 70B: https://t.co/ssxITH5ggT https://t.co/vgEn2E5WS8 | https://twitter.com/i/web/status/1865187697146700273 | [
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1865198113188643197 | https://t.co/zGpeO2mJLi | https://twitter.com/i/web/status/1865198113188643197 | [
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1865162836948791299 | Quick community showcase!
@aditshah00 added an example of running marimo inside @modal_labs, bringing serverless cloud computing power to interactive notebooks! 💪 https://t.co/SDUycwoTOE | https://twitter.com/i/web/status/1865162836948791299 | [
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1865184209754525943 | One of the best use cases for geospatial data is examining environmental factors.
Here's a list of my favourite geospatial environmental datasets: https://t.co/HhN7GuqHG9 | https://twitter.com/i/web/status/1865184209754525943 | [
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1865203415342612732 | moka-py
A high performance caching library for Python written in Rust.
https://t.co/eGICfwfksO | https://twitter.com/i/web/status/1865203415342612732 | [
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1865073523896516950 | https://t.co/fomVkelxbx | https://twitter.com/i/web/status/1865073523896516950 | [
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1865073353196794156 | I have got to praise Alibaba for mPLUG DocOwl.
What an amazing state of the art tool, and they have open sourced their WHOLE pipeline. Code, Dataset, Weights, Everything.
Bravo! Links in thread. https://t.co/zidwL2ZlGx | https://twitter.com/i/web/status/1865073353196794156 | [
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1865184608070824116 | Data flywheels are the secret sauce for AI-driven products.
Use your users' interactions to continuously improve. The more users, the better the product, the more users.
Netflix and Spotify nailed it. You should too.
https://t.co/wClR6kBYCW | https://twitter.com/i/web/status/1865184608070824116 | [
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1865096566467686909 | today we are announcing reinforcement finetuning, which makes it really easy to create expert models in specific domains with very little training data.
livestream going now: https://t.co/ABHFV8NiKc
alpha program starting now, launching publicly in q1 | https://twitter.com/i/web/status/1865096566467686909 | [
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1865123445220028910 | Coming to MLX 🚀 https://t.co/YQhS0IDqtr https://t.co/1ri9OenvdZ | https://twitter.com/i/web/status/1865123445220028910 | [
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1865088634342523169 | "a new 70B model that delivers the performance of our 405B model" is exciting because I might just be able to run a quantized version of the 70B on my 64GB Mac - looking forward to some GGUFs of this https://t.co/6X9wDesnEG | https://twitter.com/i/web/status/1865088634342523169 | [
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1865070330286403846 | Belg is financieel gelukkig als hij meer dan 5.500 euro netto per maand verdient
https://t.co/bcg0AdyMs3 | https://twitter.com/i/web/status/1865070330286403846 | [
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1865064299070103696 | PaliGemma2 for object detection on custom dataset
- used google/paligemma2-3b-pt-448 checkpoint
- trained on A100 with 40GB VRAM
- 1h of training
- 0.62 mAP on the validation set
colab with complete fine-tuning code: https://t.co/WhItPbRk42 https://t.co/EDsjzrXH5M https://t.co/4ulVq5oWwD | https://twitter.com/i/web/status/1865064299070103696 | [
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1865034020582756530 | 5. Prompt-Engineering-Guide
Guides, papers, lecture, notebooks and resources for prompt engineering
https://t.co/6QUGVLoEnl | https://twitter.com/i/web/status/1865034020582756530 | [
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1864814975530815585 | https://t.co/KFWzZPBkaj | https://twitter.com/i/web/status/1864814975530815585 | [
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1864798084523528336 | How it started (2022) vs. How its going (2024).
Screenshot from the Ghostty community. https://t.co/cAOyDa0ZDH | https://twitter.com/i/web/status/1864798084523528336 | [
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1864735515121168695 | OpenAI o1 is now out of preview in ChatGPT.
What’s changed since the preview? A faster, more powerful reasoning model that’s better at coding, math & writing.
o1 now also supports image uploads, allowing it to apply reasoning to visuals for more detailed & useful responses. https://t.co/hrLiID3MhJ | https://twitter.com/i/web/status/1864735515121168695 | [
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1864765949913739725 | 🚀 Supercharge your Colab notebooks! 🚀
Now you can easily deploy them as scalable web apps on Cloud Run with just a few clicks. Check out our example notebook and start building powerful apps today:
https://t.co/Owc81rgq1g | https://twitter.com/i/web/status/1864765949913739725 | [
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1864702150363828442 | While everyone builds basic RAG (I am guilty as well, teaching this in my LangChain course), Chat @LangChainAI 🦜🔗 (https://t.co/dpL4IQUJno) demonstrates what RAG production systems should actually look like. (agentic🤖)
And.... they've open sourced it🤯 https://t.co/XlHNW1nRV0 | https://twitter.com/i/web/status/1864702150363828442 | [
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1864588336347636104 | Build Full stack App with Python!
https://t.co/mRj32kk9Ct https://t.co/vk7Uf7Np8n | https://twitter.com/i/web/status/1864588336347636104 | [
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1864736282276171810 | we just launched two things:
o1, the smartest model in the world. smarter, faster, and more features (eg multimodality) than o1-preview. live in chatgpt now, coming to api soon.
chatgpt pro. $200/month. unlimited usage and even-smarter mode for using o1. more benefits to come! | https://twitter.com/i/web/status/1864736282276171810 | [
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1864702853396234741 | @cast42 @kolibril13 @rahuldave @marimo_io Are you on Python 3.11? | https://twitter.com/i/web/status/1864702853396234741 | [
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1864708233815785657 | @cast42 @kolibril13 @rahuldave @marimo_io I think something might be getting lost somewhere in the `marimo edit --sandbox ...` portion.
It might be that `uvx --python 3.11 marimo edit --sandbox ...` works as expected? I have to try it out. | https://twitter.com/i/web/status/1864708233815785657 | [
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1864679160444039257 | Best-of-N Jailbreaking is a black-bok algorithm with an attack success rate of 89% on GPT-4o and 78% on Claude 3.5 Sonnet.
The jailbreaking technique combines augmentations such as random shuffling or capitalization.
It can also be extended to jailbreak vision and audio… https://t.co/oVJjGvP5Xu | https://twitter.com/i/web/status/1864679160444039257 | [
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1864679162323067131 | https://t.co/ImpYAGIuAD | https://twitter.com/i/web/status/1864679162323067131 | [
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1864418814609203595 | I can't stop recommending @astral_sh's uv to everyone. I had a great experience today where I created an Issue and the CEO @charliermarsh responded in 4 min, and someone already has a PR in CI within 3 hours.
I've never worked with OSS as responsive as this! | https://twitter.com/i/web/status/1864418814609203595 | [
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1853564730872607229 | Introducing Predicted Outputs—dramatically decrease latency for gpt-4o and gpt-4o-mini by providing a reference string. https://t.co/n6mqjQwQV1
Speed up:
- Updating a blog post in a doc
- Iterating on prior responses
- Rewriting code in an existing file, like @exponent_run here: https://t.co/c9O3YtHH7N | https://twitter.com/i/web/status/1853564730872607229 | [
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1853532295288041783 | Wow, django-cotton is incredible.
Define, use with `<c-button>` (or whatever the template name is) and see the results.
I've been wanting a shadcn-like template for Django. I think django-cotton is the key to making that happen.
Just needs to learn a few more bits about it. https://t.co/vhCOUaKwJM | https://twitter.com/i/web/status/1853532295288041783 | [
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1853164059778060327 | Sam Altman’s life advice: https://t.co/h8nNN5SDzM | https://twitter.com/i/web/status/1853164059778060327 | [
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1853463655121039757 | https://t.co/rK3xDFKt48 | https://twitter.com/i/web/status/1853463655121039757 | [
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1853463653229396406 | "Document (PDF) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown" https://t.co/awy4OxZ17d | https://twitter.com/i/web/status/1853463653229396406 | [
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1853169455251288526 | Are there scrapers that just randomly go through sites? https://t.co/4BfLWpD6ad | https://twitter.com/i/web/status/1853169455251288526 | [
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1853156840525193727 | One of the lessons is on agents https://t.co/IQpZl4M1DP | https://twitter.com/i/web/status/1853156840525193727 | [
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1852772565908914202 | "MUI X: Build complex and data-rich applications using a growing list of advanced React components, like the Data Grid, Date and Time Pickers, Charts, and more!" https://t.co/D3lEuHG3vl | https://twitter.com/i/web/status/1852772565908914202 | [
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1852953824182636898 | Published some notes on Docling, a rather nice MIT licensed Python PDF document / table extraction library from IBM https://t.co/SXBI2yi6tK | https://twitter.com/i/web/status/1852953824182636898 | [
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1852814162851758357 | It can process multiple files in parallel and you can build pipelines for performing multiple operations in sequence on each file https://t.co/sZHJb3hY7o | https://twitter.com/i/web/status/1852814162851758357 | [
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1852808670569972112 | https://t.co/ZsvnEcpUzl | https://twitter.com/i/web/status/1852808670569972112 | [
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1852780021674311912 | Alrighty. If you trust me, please run this command:
uvx --from git+https://t.co/EHXI31xZQX terminal-tree
If you don't trust me (wouldn't blame you), visit this repo first...
https://t.co/tbMNknVkR9 | https://twitter.com/i/web/status/1852780021674311912 | [
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1852404331636490368 | I’m really enjoying the book: Building LLMs for Production!
🔝📖 https://t.co/qCOLsCAj8t | https://twitter.com/i/web/status/1852404331636490368 | [
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1852509786979319875 | Document to document AI https://t.co/NvgKjCg5TY | https://twitter.com/i/web/status/1852509786979319875 | [
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1852700039316943287 | This project you must follow if you are interested in @OpenAI o1! A group of researchers is actively working on replicating OpenAI o1 using @AIatMeta Llama! 🤯 The same group released Llama Berry a Inference-time method boosting Llama 3.1 8B instruct to 96% on GMS8K and 76.6 on… https://t.co/0pRckqyRfq | https://twitter.com/i/web/status/1852700039316943287 | [
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1852432602105557353 | This is an *excellent* book that I've worked through. I loved the Karpathy videos and this book is now my new recommendation if you want to build your AI fundamentals up. It's like the video but in book form. https://t.co/ylIYgLw4I6 | https://twitter.com/i/web/status/1852432602105557353 | [
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1851948279816134819 | Training Llama 4 on 100k H100s. https://t.co/p1k936YRdJ | https://twitter.com/i/web/status/1851948279816134819 | [
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1852103790704373775 | @jarekceborski contabo com
14 euros, so would get you ~33 months
And a bit less than 16gb | https://twitter.com/i/web/status/1852103790704373775 | [
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1852369798891778415 | The overlooked GenAI use case: cleaning, processing, and analyzing data.
https://t.co/klQjXiyODl
Job post data tell us what companies plan to do with GenAI. The most common use case is data analytics projects. Examples:
- AstraZeneca: using LLMs on freeform documents to… https://t.co/GyVCzyuv9k | https://twitter.com/i/web/status/1852369798891778415 | [
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] |
1852393321332719960 | Docs: https://t.co/ZhIGvEMNFN
Github: https://t.co/9HgF6IQejP
https://t.co/9HgF6IQejP | https://twitter.com/i/web/status/1852393321332719960 | [
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1852252773418455488 | wow guys you all should watch this talk by @szarnyasg
people at @duckdb are killing it I think, just got my "Duck DB in Action" book and I'm for sure reading this thing right after studying "Database Internals" book
they are open-sourced so that makes it even better, they are… https://t.co/wLZfDFS0DF | https://twitter.com/i/web/status/1852252773418455488 | [
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1698869564216340545 | This is a really neat way to develop a better intuition for how LLMs actually work. It's worth watching the video carefully and reading the text as the cursor moves through it to understand what's going on https://t.co/2ErUHXeJyv | https://twitter.com/i/web/status/1698869564216340545 | [
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1698666841072161078 | Beautiful isn’t it 😎 https://t.co/C7cEaaFFqB | https://twitter.com/i/web/status/1698666841072161078 | [
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1698767283961704949 | New @pybites YouTube video:
Mastering #Python Refactoring: Simplifying Code with the Dictionary Dispatch Pattern
https://t.co/Lgxcl4B3eW
#refactoring #cleancode | https://twitter.com/i/web/status/1698767283961704949 | [
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1698731815685538158 | https://t.co/kcERle13QN | https://twitter.com/i/web/status/1698731815685538158 | [
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1698632998466523210 | We are hosting a free, live, event "Azure Developers- Python Day" this week on Sept 7, all the deets are here https://t.co/MJkpJngIL1 LangChain, OpenAI apps, Python-in-Excel, Azure Container Apps, Cosmos DB with Python and loads more | https://twitter.com/i/web/status/1698632998466523210 | [
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1698292420172013888 | Voor wie nog wat McKinsey grafieken nodig heeft om in zijn volgende management-presentatie over generative AI te stoppen: https://t.co/LOJHmQfW2E | https://twitter.com/i/web/status/1698292420172013888 | [
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1698630429933211813 | Python Tip: Bidirectional Mapping of Month Numbers and Abbreviations
If you're working with dates in Python, it might be helpful to have a quick way to retrieve month abbreviations.
Here's how you can achieve that using the calendar module:
import calendar
# Get the… | https://twitter.com/i/web/status/1698630429933211813 | [
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1698621527954985391 | A paper on my Clustergram #Python package has been published in @joss! It is a little tool for visualisation and diagnostics of cluster analysis. Paper -> https://t.co/Amwadd0h59 but the original blogpost introducing it may be the better place to start -> https://t.co/u0eNUD6sem. https://t.co/BbiNwzxiiI | https://twitter.com/i/web/status/1698621527954985391 | [
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1698345486040617405 | There was a point in my career when I considered moving to the US to work in great tech companies and get paid a lot, but doing the math you get a lot more with a lower salary in Spain: free healthcare, public pension, cheap university, 5x cheaper housing,… https://t.co/xU1MAEaN47 | https://twitter.com/i/web/status/1698345486040617405 | [
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1698382481957818647 | How to detect seasonalities and decompose time series like a pro.
Many people are familiar with a popular STL method; what is better than STL?
@robjhyndman , Kasun Bandara and Christoph Bergmeir developed a relatively new method called MSTL.
The best part is that the model is… https://t.co/DV7rjJVcjX | https://twitter.com/i/web/status/1698382481957818647 | [
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1698307856787763588 | Create a Beautiful Polar Histogram With Python and Matplotlib https://t.co/A3XB2cYlGI | https://twitter.com/i/web/status/1698307856787763588 | [
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1698396265749557665 | LightGBM is intimidating at first because it has so many hyperparameters.
But honestly, 80% of good performance is the learning rate, and the rest comes from playing with:
• subsampling
• feature fraction
• min_samples_leaf
And of course the objective function.
Usually,… | https://twitter.com/i/web/status/1698396265749557665 | [
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1698255010683818361 | Dit is voor alle duidelijk de start van input voor Vlaamse regering: als er beperkte middelen zijn, vergooi ze dan niet aan H2 voor warmte en landtransport. “Politiek vreest dat Umicore Noord-Frankrijk boven Vlaanderen verkiest “
https://t.co/LYG2S71RmC | https://twitter.com/i/web/status/1698255010683818361 | [
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1698088360366198845 | vLLM has a bug that fills your VRAM with NaNs, leading to corrupted outputs which it doesn’t recover from.
Because HuggingFace's text-generation-inference uses a forked version of vLLM's CUDA kernel, it inherits the same bug.
We fixed the bug in our OSS fork of TGI. (1/2) | https://twitter.com/i/web/status/1698088360366198845 | [
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1697942550613799354 | This was a shocking book.
I just finished it and wasn't expecting what I learned.
Every Machine Learning and Data Science practitioner should learn about causal inference.
It's a different way of thinking. It makes me look at the world with different eyes. https://t.co/nia6Iis2dr | https://twitter.com/i/web/status/1697942550613799354 | [
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1697913673627418643 | The origin of light, scattering, and polarization | Barber pole, part 2 https://t.co/sMXygisaI9 via @YouTube fantastisch gemaakt en uitgelegd, al blijft het moeilijke materie. Het bekijken deze video's zou eigenlijk in de eindtermen moeten zitten...🙃 | https://twitter.com/i/web/status/1697913673627418643 | [
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1697731054289707161 | Legends and labels and graphs—oh my!
Let @RiddleMeCam show you how to make your labels legendary with the next installment of "Make It Pretty with @matplotlib!"
#python #programming #datavisualization
https://t.co/e2apJoGAtR | https://twitter.com/i/web/status/1697731054289707161 | [
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1697587543598883026 | axlearn https://t.co/eSoYhSaZNL | https://twitter.com/i/web/status/1697587543598883026 | [
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1697318534555336961 | Speculative execution for LLMs is an excellent inference-time optimization.
It hinges on the following unintuitive observation: forwarding an LLM on a single input token takes about as much time as forwarding an LLM on K input tokens in a batch (for larger K than you might… https://t.co/FiwTwqsfho | https://twitter.com/i/web/status/1697318534555336961 | [
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1697320905301484012 | "almost 98% of people in the world will try to pull [your ambition back] and say 'seems a little bit too crazy, a little bit too out there, a little bit too ambitious" https://t.co/jmnDdxFdTD | https://twitter.com/i/web/status/1697320905301484012 | [
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1696977088266330568 | https://t.co/rMoxkdMtv0 | https://twitter.com/i/web/status/1696977088266330568 | [
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1542899622829604869 | Are you imputing values for TS data? Make sure you don't leak data! https://t.co/ydIoYgVN4B | https://twitter.com/i/web/status/1542899622829604869 | [
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1697281864912765151 | Therefore, if you want to select among categorical variables with the chi2 test, make sure you use the Scipy implementation.
You can find a Python implementation in this repository: https://t.co/AygTrdLFdF | https://twitter.com/i/web/status/1697281864912765151 | [
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1697264116233330866 | @pandas_dev 🙌👏 Thank you committers! Link to release notes: https://t.co/KA90YE1KjP | https://twitter.com/i/web/status/1697264116233330866 | [
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Subsets and Splits