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1697211698489565232 | if you stick to pure Python, you can develop using your laptop with vscode and deploy to #Fabric notebook only for scheduling https://t.co/RNHG1cmgqg | https://twitter.com/i/web/status/1697211698489565232 | [
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] |
1697139308040224848 | Do you know how to extend #pandas with a fast language like #rustlang?
Core developer @datapythonista shows you how in this step by step tutorial at @EuroSciPy.
https://t.co/XaARWP10Bm | https://twitter.com/i/web/status/1697139308040224848 | [
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1696940865414148506 | Efficient object detection with YOLOv8 and KerasCV: https://t.co/OeTTO9KdDk | https://twitter.com/i/web/status/1696940865414148506 | [
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1696628795288232094 | Anti-hype LLM reading list. Pretty good list.
https://t.co/7DAnoWLWBC https://t.co/0OXyodSWVX | https://twitter.com/i/web/status/1696628795288232094 | [
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1695007666697822228 | Interested in Bayesian analysis in cognitive science and using Python? I started to port the brilliant book https://t.co/bSAQDHekOq , written in R, into Python-PyMC , find the first five chapters here: https://t.co/ijooVg3OyU @bruno_nicenboim @pymc_devs @LearnBayesStats | https://twitter.com/i/web/status/1695007666697822228 | [
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1696614065265840337 | Does this ever happen to you? 🤔
#creativity #creativeprocess https://t.co/7IwhFyVmK9 | https://twitter.com/i/web/status/1696614065265840337 | [
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1696584259912311255 | Finally someone that dares to say it. I've never seen any estimates or project management actually work. It's just creating distractions and extra work that'd be much better spent actually doing the work. https://t.co/u4hUjJIrez | https://twitter.com/i/web/status/1696584259912311255 | [
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] |
1696463882871554389 | A quick @matplotlib tip:
If you don't need to fine tune every parameter in your plot (font size, tick length, etc.), you can take advantage of the following convenience method:
ax.set()
It sets multiple plot parameters at once. https://t.co/zmRppZO044 | https://twitter.com/i/web/status/1696463882871554389 | [
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] |
1696467825467027851 | An elegant way to define computed attributes in Python is by using the @ property decorator (similar to getters and setters in other languages).
These are attributes that are not actually stored, but computed on demand.
In the code below, we use it to see if a promotion has… https://t.co/pzon2jkq12 | https://twitter.com/i/web/status/1696467825467027851 | [
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1696345720997945783 | Show HN: PlotAI – Create Plots in Python and Matplotlib with LLM
https://t.co/nH5USqCTpk | https://twitter.com/i/web/status/1696345720997945783 | [
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1696111251615596658 | After having Google this one times to many, I finally added an uncommit alias to my dotfiles
#devlife https://t.co/MKI6ExitWM | https://twitter.com/i/web/status/1696111251615596658 | [
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] |
1696210159490498923 | 🤯 This is absolutely insane. You can clone any voice locally on your computer using only 3 seconds of reference audio!
Entirely open-source.
https://t.co/YGm6LZxWDi https://t.co/ZL4uGCYdvK | https://twitter.com/i/web/status/1696210159490498923 | [
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1696178865402425814 | Exciting news! Altair has just released Vega-Altair 5.1.0 with new features and improvements. See the full release notes here https://t.co/7NBBDwESbl. In this thread we dive into the highlights: | https://twitter.com/i/web/status/1696178865402425814 | [
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] |
1696198456778387496 | Nice job by the @googlecloud GKE team standing up a GitHub repo with blueprints and best practices for AI/ML workloads on Kubernetes.
https://t.co/oA1Ypg6cih | https://twitter.com/i/web/status/1696198456778387496 | [
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] |
1696130125811888538 | I prefer to operate in “GPU-Poor” mode.
I don’t agree with the take from the semianalysis piece. Creative breakthroughs often occur under constraints—new systems, models, and methods that can better take advantage of even larger-scale compute
https://t.co/QI70Lc50if https://t.co/1Vz47FIM72 | https://twitter.com/i/web/status/1696130125811888538 | [
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] |
1696182174024962549 | This is Huge! 🥳 Half of the conversations around LLMs are “Will this fit on my GPU[s]?” And this calculator makes it much easier.
There are some important nuances for LoRA and I took notes on that here:
https://t.co/Bct28Wwhea https://t.co/Hcm24l7JWa https://t.co/MilXje5IVB | https://twitter.com/i/web/status/1696182174024962549 | [
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1695858188812509376 | From ion wind to a ionic plasma thruster
[📹 Integza]
https://t.co/y6APJxMUVY | https://twitter.com/i/web/status/1695858188812509376 | [
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1695840758723383363 | This program will probably become a part of https://t.co/ubdlcd2GMV. But in the meantime here's the implementation and tests.
https://t.co/Y6DgT3Rqpy https://t.co/t8Flr4jFT7 | https://twitter.com/i/web/status/1695840758723383363 | [
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] |
1696062017520509149 | Today I published part 2 of my 5-part series on an end-to-end use case in #MicrosoftFabric.
In today's post: notebooks 📔, Spark ⚡️, Delta Lake, OneLake, and BeautifulSoup 🥣.
https://t.co/Is0yJI9Jbh | https://twitter.com/i/web/status/1696062017520509149 | [
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1696065508334784571 | Code Llama 34B is now available on HuggingChat! 🧑💻🔥
Try it out for yourself: https://t.co/hv0RWo0BuK https://t.co/QXy4eOcaAt | https://twitter.com/i/web/status/1696065508334784571 | [
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1695967225168208268 | Realizing my docs lacked simple examples so heres one that is just simple multi label classification that uses all the tools. https://t.co/CwuWP4bGIH | https://twitter.com/i/web/status/1695967225168208268 | [
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1692931656305311774 | Finally got a chance to read @eugeneyan's write-up on practical patterns for building LLM-based systems and products.
Really good insights and references throughout covering the following topics:
- Evaluation - covers why evaluation is needed, how to apply evals, and the… https://t.co/Xg1zWrfBzh | https://twitter.com/i/web/status/1692931656305311774 | [
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] |
1695989500630159489 | “HuggingFace’s leaderboards show how truly blind they are because they actively hurting the open source movement by tricking it into creating a bunch of models that are useless for real usage.”
Ouch.
https://t.co/Q8XtCdofSe | https://twitter.com/i/web/status/1695989500630159489 | [
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1695828872254652601 | Cleaning textual data for LLMs is critical ⚠️
Here is an open-source library by @huggingface that will make your life easier.
Enjoy
https://t.co/ULdW4362nJ | https://twitter.com/i/web/status/1695828872254652601 | [
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1695851889798099020 | @cast42 @knowledgeiswatt It is correct but depiction could be better. Look at the key colors, not axis headers. | https://twitter.com/i/web/status/1695851889798099020 | [
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] |
1695840302358212815 | This talk is the most complete version of my thinking around Large Language Models to date, including thoughts on personal AI ethics, practical applications and the enormous impact we are already feeling from Llama 2
Video, slides, transcript & links: https://t.co/hluBrcNcYt | https://twitter.com/i/web/status/1695840302358212815 | [
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] |
1695170258275906037 | Welcome Code LLama to @huggingface! 🔥
Blog post: https://t.co/CMccKZFWsR
Models: https://t.co/M1hDg3qBmI
Code playground: https://t.co/8RlQYryr6k
Chat playground: https://t.co/sbwut2MTAC https://t.co/Njx3XtgDSd | https://twitter.com/i/web/status/1695170258275906037 | [
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1694962546887770573 | Just a friendly reminder: The best technique to keep your daily "Standup" meeting much shorter 😉 https://t.co/UxSNfYBosp | https://twitter.com/i/web/status/1694962546887770573 | [
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] |
1695124034847981667 | 📚 Our DS/ML Book Club is honored to host a chat with
@MatheusFacure to discuss his brand-new @OReillyMedia book Causal Inference in Python 🤗 Join us on August 28th, 8 am Central, for an insightful discussion: https://t.co/jbnxVzCKEM
💡 Learn more about our book club at… https://t.co/8ScOvTyBfh | https://twitter.com/i/web/status/1695124034847981667 | [
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] |
1695117478261637284 | 6->1 line of #python code ...
Leverage sets to see if all items in a sequence are unique ...
#pybobtips https://t.co/sRvnVyZQ4k | https://twitter.com/i/web/status/1695117478261637284 | [
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] |
1695065299446309088 | 🎵 My code is pretty, oh so pretty! It's so pretty, and witty, and bright! And I pity any code without @matplotlib tonight!🎵
Check out Part 1 of "Make It Pretty with Matplotlib" with @RiddleMeCam on YouTube!
#python #dataanalysis #programming
https://t.co/xisK1opx5C | https://twitter.com/i/web/status/1695065299446309088 | [
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1694724296923550178 | Sharing this so that you can spot me in the photo not because we raised series D 💀 https://t.co/S1Oce31Wfs | https://twitter.com/i/web/status/1694724296923550178 | [
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1694951125911584983 | Visualizing a SQL query.
SQL statements are executed by the database system in several steps, including:
- Parsing the SQL statement and checking its validity
- Transforming the SQL into an internal representation, such as relational algebra
- Optimizing the internal… https://t.co/j6MMObPFic | https://twitter.com/i/web/status/1694951125911584983 | [
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1694727987701432793 | Alhoewel mijn warmtepomp al geruime tijd overweg kan met dynamische tarieven had ik nu toch de behoefte om het aanmaken van warm water slim aan te sturen vanuit Home Assistant :
1/ Er zit namelijk een bug in het Nibe algoritme waardoor op dagen met negatieve prijzen het WW wordt… https://t.co/fdJMCcRxQg https://t.co/SYJ7bS9z9b | https://twitter.com/i/web/status/1694727987701432793 | [
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1694690919956537472 | We're happy to announce the release of VegaFusion 1.4.0. This release includes improved Vega coverage, extended architecture support, and some foundational work toward the goal of supporting external data sources and compute engines | https://twitter.com/i/web/status/1694690919956537472 | [
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1694681952106791229 | 🚀 10 useful things you can do more easily with pathlib than os in #Python ...
Check out this thread to see how to write more readable, simple and beautiful code with `pathlib` ... | https://twitter.com/i/web/status/1694681952106791229 | [
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1694363961775337966 | Introducing "Finetuning Large Language Models," a short course to enhance your LLM proficiency!
With hands-on guidance from @realSharonZhou, you will master finetuning concepts, train an LLM using our own data, and more.
Enroll for free: https://t.co/EdUoj6ccSO https://t.co/9IxDOMqKTT | https://twitter.com/i/web/status/1694363961775337966 | [
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1694442846814961878 | My best and most general life advice:
Seek positive-sum systems and relationships
Avoid zero/negative-sum systems and relationships | https://twitter.com/i/web/status/1694442846814961878 | [
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1694336003828228128 | First, you need a huggingface account! If you dont have one, create one: https://t.co/HlHI7TXWep. Once your account is setup, click this link: https://t.co/AhBKwjD9Ny You can choose any name for the space 2/N https://t.co/t0xrNl3NDe | https://twitter.com/i/web/status/1694336003828228128 | [
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1694254312489205783 | When working with colour in Data Visualisation make sure you:
Limit your palette: Use 2-4 colours to avoid confusion.
Aim to contrast: Ensure data stands out from the background.
Seek consistency: Assign the same colours to consistent data.
Consider colour blindness: Opt for… | https://twitter.com/i/web/status/1694254312489205783 | [
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1694336395865690580 | LLMs just got faster and lighter with 🤗 Transformers x AutoGPTQ !
You can now load your models from @huggingface with GPTQ quantization. Enjoy faster inference speed and lower memory usage than existing supported quantization schemes 🚀
Blogpost: https://t.co/vizRr9Ssxa | https://twitter.com/i/web/status/1694336395865690580 | [
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1694469971689251111 | New release! Local vectorization of text optimized for CPU without the need for GPU
This allows you to use a transformer architecture model without sacrificing speed 🔥
Docs https://t.co/ND7FtyDx2G https://t.co/lp2zysSTEU | https://twitter.com/i/web/status/1694469971689251111 | [
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] |
1693961906984223229 | You know how you can press spacebar on a file in macOS to get a "quick look"? This fantastic little extension renders Markdown files in Quick Look for you: https://t.co/natnx9Lr8g
Highly configurable! Super handy. | https://twitter.com/i/web/status/1693961906984223229 | [
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1694076465392836844 | Sorry it took so long, but part 4 of contributing to @huggingface is now on @YouTube!
In this one, we implement unit tests for DINOv2 (you learn how each model in the Transformers library is tested), and convert a checkpoint of 40 Transformer layers
https://t.co/ct0S1aycTZ | https://twitter.com/i/web/status/1694076465392836844 | [
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1693827834752680364 | Bear cubs getting in a hammock is one of the greatest videos of all time. https://t.co/yR2LjBIlKN | https://twitter.com/i/web/status/1693827834752680364 | [
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] |
1693996894593466795 | Trying out IDEFICS, the multimodal model released by
@huggingface 🤗🐕
🖼️ 💬 Takes image and text as input and returns text output
🤗 Integrated in transformers and TGI
🐕 It can answer questions about images, describe visual content, create stories grounded in multiple images… https://t.co/OwH4FNvNeK | https://twitter.com/i/web/status/1693996894593466795 | [
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] |
1693992979999154505 | THE MOMENT YOU'VE BEEN WAITING FOR!!
Type "=PY(" into Excel, and start executing Python directly in the @msexcel grid!
Really excited about our new partnership with @Microsoft to democratize data science, machine learning, and AI to all knowledge workers! https://t.co/oCCQ6oj7v4 | https://twitter.com/i/web/status/1693992979999154505 | [
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] |
1693918078676201571 | This is amazing way story telling.
$10,000+ worth Story telling degree in 4 minutes for FREE.
In a 4-minute lecture, Kurt Vonnegut explained stories in a way that I've never heard before.
https://t.co/mg4241m6eg | https://twitter.com/i/web/status/1693918078676201571 | [
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1693925155729232330 | 🚀 The fastest way to create more #PowerfulCharts: a single line break.
👏 Don't let your tool decide where the first line of your title ends, and the second one begins. Choose your line breaks carefully, and keep the important words together.
#informationdesign #dataviz https://t.co/koiLJ5F7Fy | https://twitter.com/i/web/status/1693925155729232330 | [
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1693899054013657595 | 🌳🍾 Hoe weten we wanneer onze bomen dorstig zijn? Het antwoord op de #TikTok van #BM! 📽️ 👇
https://t.co/vl4nJiGBqR | https://twitter.com/i/web/status/1693899054013657595 | [
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] |
1693281449024131082 | Weekend cook up ........
when #recsys meets #Llama2 ...
PS, @huggingface 's TRL library is soo cool ... it just boils down to the dataset format to get started with baseline fine-tuning ...
blog coming soon 😁 https://t.co/2jpvC8jice | https://twitter.com/i/web/status/1693281449024131082 | [
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1693301322890531069 | Crafting data visualizations in the news room is always close to extremely relevant topics, but it often has to be done in a very short amount of time.
So, from time to time, I need to be more creative and more artistic. See here the result of my latest data art: https://t.co/a8akEQJEO8 | https://twitter.com/i/web/status/1693301322890531069 | [
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1693340406702919765 | Most anthropometric measurements are correlated. People with long arms have long legs, etc.
But one measurement is uniquely uncorrelated with all of the others, and I have a conjecture about why.
https://t.co/J4OxHfOg79 https://t.co/uE4mvvDI9l | https://twitter.com/i/web/status/1693340406702919765 | [
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1693127964643438616 | This Post is from a suspended account. {learnmore} | https://twitter.com/i/web/status/1693127964643438616 | [
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1693304918562533670 | @aerinykim a few hundred GBs in total, nothing substantial | https://twitter.com/i/web/status/1693304918562533670 | [
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] |
1693300023205732546 | A page, new ideas, my new book:
show data roots not just cherry-picked flowers
massive gray sparklines = contextual grid, enhances conventional graph grid
NEWS data incuriously ignores OLDS data, altho contextual OLDS data easily available
the blip
#dataviz
dataviz https://t.co/fYn6dGhzmR | https://twitter.com/i/web/status/1693300023205732546 | [
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] |
1693190891526074849 | "LTR algorithms operate on a set of feature vectors and predict the optimal order of items."
If you're looking for a beginner-friendly primer on ranking algorithms, head right over to Vyacheslav Efimov's latest deep dive. https://t.co/HIXKtKN3Yc | https://twitter.com/i/web/status/1693190891526074849 | [
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1692985737199628414 | Stanford just released all Stanford XCS224U: Natural Language Understanding course lectures by Prof. Christopher Potts!
Videos https://t.co/Rj4JuLnOAZ
Code https://t.co/DYwPuKSRZO | https://twitter.com/i/web/status/1692985737199628414 | [
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1692901794362294726 | Whoa! These innovative socks help correct toe alignment and relieve pressure for ultimate comfort.🦶🧦 https://t.co/KbxRKmWqjB | https://twitter.com/i/web/status/1692901794362294726 | [
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] |
1692975166702137780 | An upcoming new book 👇
Title: Geospatial Data Science with Leafmap
Website: https://t.co/0MuXbtIa2V
GitHub: https://t.co/LQcjAKmrW8
@locatepress #leafmap #geospatial #opensource #geopython #dataviz https://t.co/gYBX1iQqXe | https://twitter.com/i/web/status/1692975166702137780 | [
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1692617288757748101 | We are open source, make it better. ;) https://t.co/UC4PMjxYOh | https://twitter.com/i/web/status/1692617288757748101 | [
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1692977423434776909 | Working on your balance is a perfect exercise snack. If you don’t have a bench or a platform that’s fine, do the same move without one. The secret is to get started. You’ll be amazed how much progress you can make in a month. #fitnessover60 #abalancedyou #afriendlynudge https://t.co/c5i7lAMPvi | https://twitter.com/i/web/status/1692977423434776909 | [
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1692843348791263736 | If you're interested in learning how to work with sensor data, don't miss Dmitrii Eliuseev's accessible new tutorial on reading, collecting, and analyzing data from the MPU6050 sensor. https://t.co/ju6quoccix | https://twitter.com/i/web/status/1692843348791263736 | [
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1692632732646662349 | Is it a hack? Yes
Does it work? Yes https://t.co/jBFvwUBFPU | https://twitter.com/i/web/status/1692632732646662349 | [
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] |
1692751235420762239 | An interesting graph to choose chart by Stephanie Evergreen.
A lot of learning could be taken from here.
#data #datascience #python https://t.co/idQryVgElf | https://twitter.com/i/web/status/1692751235420762239 | [
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] |
1692501472091472365 | 3 Lines is all you need to run LLM (quantized) locally on CPU! {ctransformers} is awesome 🚀
Github - https://t.co/6cbWEC3KHU
Youtube - https://t.co/Ylf3rU2inJ https://t.co/MeXdO37R41 | https://twitter.com/i/web/status/1692501472091472365 | [
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1692348481082642473 | @antoniogm "Don't worry about people stealing your ideas. If your ideas are any good, you'll have to ram them down people's throats."
— Howard Aiken | https://twitter.com/i/web/status/1692348481082642473 | [
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1692188964554465713 | “Whom to leave behind”
https://t.co/z76xFhy8zw | https://twitter.com/i/web/status/1692188964554465713 | [
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1691898213165306243 | Glute bridges are an excellent way to improve glute, hanstring and core strength but you need to be intentional about it. I used to crank out 50 but they were like the make believe pushups that I see people do. Quality serves you better than quantity. #fitnessover60 https://t.co/JY17sGWGG8 | https://twitter.com/i/web/status/1691898213165306243 | [
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1691833538226610355 | Today we are launching pixi! It's our new package manager for the conda ecosystem by @prefix_dev. It comes with powerful lockfiles out of the box, cross-platform workflows and the speed of Rust. https://t.co/7VHGudSHBA | https://twitter.com/i/web/status/1691833538226610355 | [
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] |
1691827282980065523 | With .assign (using **) we can put a dataframe back in the original dataframe! 🐼🤯
I'm also going to chain an operation to drop the original column. https://t.co/UI343Y7q7a | https://twitter.com/i/web/status/1691827282980065523 | [
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1691859366700347399 | Unveiling the Power of Bias Adjustment: Enhancing Predictive Precision in Imbalanced Datasets by Hyung Gyu Rho https://t.co/OiD52f958d | https://twitter.com/i/web/status/1691859366700347399 | [
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1691915443395575931 | Ken Olson, the founder of DEC, is often attributed to this PC quote. DEC was founded in 1957 when computers were massive and crazy expensive. Hobby computer clubs (primarily catering to the well-off people) sprung around the late 70s, and in the mid-to-late 90s, personal… https://t.co/Stt315cMGZ https://t.co/AZY0v5zelo | https://twitter.com/i/web/status/1691915443395575931 | [
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1691763636442734809 | Waarom hoor ik deze krantenkop in de stem van Master Yoda? https://t.co/HXmPPbWA79 | https://twitter.com/i/web/status/1691763636442734809 | [
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1691759730786443473 | @RubenBaetens Goed dat dit pad eindelijk wordt aangepakt (en de overkant blijft in grind behouden). | https://twitter.com/i/web/status/1691759730786443473 | [
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1691725277318021520 | Show HN: Pykoi – a Python library for LLM data collection and fine tuning
https://t.co/xGEMFY2Bbz | https://twitter.com/i/web/status/1691725277318021520 | [
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1691551442287350142 | Cycling with Molly
A short experimental animation about Molly, who learns to ride her bike at the age of 24.
Director: Sara Chia-Jewell https://t.co/liK2iuunge | https://twitter.com/i/web/status/1691551442287350142 | [
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1691683376846307457 | Hard to imagine a better way for me to flash right back into @OpenAI early days 2016, inspiring clarity of thinking and communication by @ilyasut
https://t.co/ZIXapX8iZ4 | https://twitter.com/i/web/status/1691683376846307457 | [
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1691624998509728239 | I wrote a quick blog post about generating NumPy UFuncs with Cython 3.0. The feature is quite nice 😊! https://t.co/xVwg02MMPL | https://twitter.com/i/web/status/1691624998509728239 | [
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1691557260835565596 | Strength and mobility training are great for helping us build strength and resiliency and they can also help us discover our blind spots. It’s why it’s so critical that we fgt started and that we keep after it. #fitnessover60 #abalancedyou #afriendlynudge https://t.co/qgScoD70PJ | https://twitter.com/i/web/status/1691557260835565596 | [
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1691231981990797312 | There are many evaluation metrics to choose from in popular ML packages, and making the right decision can feel overwhelming. Pratik Aher addresses this challenge with clarity in a new overview of recommender-system evaluation metrics. https://t.co/T7JK5enuK7 | https://twitter.com/i/web/status/1691231981990797312 | [
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1691161800471891968 | 🦙 As promised, here it is! I am happy to introduce my after-hours project of the past days. A finetuned version of #Llama 2 13B on #Dutch 🇧🇪 🇳🇱 chat data with 4096 context! **Everything** (data, models, chat interface) is open source 🤠 Have fun! https://t.co/kQGvjKSPQD https://t.co/8K6QXmt96Y | https://twitter.com/i/web/status/1691161800471891968 | [
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1691187625065906176 | @simonw Googled and I found a helpful blog post by some random bloke on the internet... First page too.
https://t.co/u0Pb2RyDzE | https://twitter.com/i/web/status/1691187625065906176 | [
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] |
1690917849047474176 | Microsoft just launched Azure ChatGPT
A private version of ChatGPT tailored for the enterprise.
Azure ChatGPT offers:
- Absolute Data Privacy
- Controlled Security with isolated network traffic
- Seamless Integration with YOUR internal data https://t.co/viSLHtiij2 | https://twitter.com/i/web/status/1690917849047474176 | [
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1690803351368200192 | Etwas für die Fahrrad-Bubble hier 🥂 https://t.co/odH5UizRxz | https://twitter.com/i/web/status/1690803351368200192 | [
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1690840706380660736 | I think it’s important for us to explore and expand our mobility limits and capabilities in a controlled, safe environment. Improvement is more doable than we think. #fitnessover60 #abalancedyou #afriendlynudge https://t.co/axf3DVQhkd | https://twitter.com/i/web/status/1690840706380660736 | [
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] |
1690641029295169536 | How to find garbage in your text dataset? [Checklist]
TL;DR: A list of tricks for finding VERY COMMON problems in text datasets.
Here is a list of common problems you should clean: [1]
1. Links: Unique texts can not be generalized: Just remove them.
Filter: Search for "http",… | https://twitter.com/i/web/status/1690641029295169536 | [
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1690499075492184064 | Hip mobility is an essential thing to preserve but something that virtually no one spends any time on. It’s a lot easier to nurish it while we have it than resurrect it once it’s gone. https://t.co/cBjFasKp6N | https://twitter.com/i/web/status/1690499075492184064 | [
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] |
1689840422187917312 | 🤯LLMs compiled to be fast 🔥on many devices, with clients for everyone (python , js, c++, etc)
Really bullish about MLC b/c of the team
IIUC distributed inference and continuous batching coming soon
https://t.co/aAu1YM1oLQ https://t.co/S8qb6Qc9ge | https://twitter.com/i/web/status/1689840422187917312 | [
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1689883142159486976 | DotDict: A simple Python library to make chained attributes possible
https://t.co/jq6nNMRGhT | https://twitter.com/i/web/status/1689883142159486976 | [
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1689768344315117568 | Create Your Own Custom LLM ChatBot - An AI Brain for your organization
A step by step tutorial on how to choose the best LLM and infrastructure to create a Custom ChatGPT and supercharge your business!
A large language model (LLM) trained on your company's data can function… https://t.co/kKmWtOz9sU | https://twitter.com/i/web/status/1689768344315117568 | [
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1689891253280788480 | The EASIEST way to finetune LLAMA-v2 (or any other LLM) on local machine! https://t.co/0S75cwDmLG | https://twitter.com/i/web/status/1689891253280788480 | [
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] |
1689790665604108288 | Here is how you can obtain a massive speedup with llama-v2 models, much faster than anything else I tried.
It's so fast that its unreal. I made some additional notes on how to avoid a temporary foot gun as well
https://t.co/HXIY5e0h2Y https://t.co/RST9xuhGNo | https://twitter.com/i/web/status/1689790665604108288 | [
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1689790373454041089 | New video in my series on the @kaggle LLM science exam competition. This one looks at how you can adapt a BERT backbone to turn it into a multiple-choice answering machine :) Inspired by the great work @radekosmulski has done in his DeBERTA notebooks.
https://t.co/1ZVUYuqjAH | https://twitter.com/i/web/status/1689790373454041089 | [
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1689464587077509120 | Now that ChatGPT has rolled out custom instructions to most users, try out this instruction -- it makes GPT 4 far more accurate for me: (Concat the rest of this 🧵 together and put in your custom instruction section) https://t.co/OD05ZqJlWq | https://twitter.com/i/web/status/1689464587077509120 | [
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Subsets and Splits