The Art Of Decoding Data Science.
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The Art Of Decoding Data Science.
569 subscribers
The Art Of Decoding Data Science.
https://twitter.com/sh_reya/status/1641106353971421185?t=B-GhTPvISbJAE1c8tmEQrg&s=35
Twitter
Been working on LLMs in production lately. Here is an initial thoughtdump on LLMOps trends Iโ€™ve observed, compared/contrasted with their MLOps counterparts (no, this thread was not written by chat gpt)
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The Art Of Decoding Data Science.
https://twitter.com/n0mad_0/status/1641150147231981568?t=Qbhsex5rVPr7TG_MXXXDJA&s=35
Twitter
We* are looking for a Student Researcher** to work with us on a project in intersection of modeling/generating speech/audio, NLP, and representation learning.

*AudioLM team @ Google Research (@zalanborsos, @neilzegh, myself and many others!)
**not-last-yearโ€ฆ
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The Art Of Decoding Data Science.
Opportunity
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The Art Of Decoding Data Science.
https://arxiv.org/abs/2303.17564?s=35
arXiv.org
BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language...
70 views
The Art Of Decoding Data Science.
https://github.com/ZrrSkywalker/LLaMA-Adapter?s=35
GitHub
GitHub - ZrrSkywalker/LLaMA-Adapter: Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters - GitHub - ZrrSkywalker/LLaMA-Adapter: Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
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The Art Of Decoding Data Science.
https://www.linkedin.com/posts/aboniasojasingarayar_llm-gpt3-framework-activity-7047449940192591872-3VYc?utm_source=share&utm_medium=member_android
Linkedin
Abonia Sojasingarayar on LinkedIn: #llm #gpt3 #framework #ai #modelserving #training #deeplearning
๐Ÿ’ฅ ๐‹๐‹๐Œ ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐…๐ซ๐š๐ฆ๐ž๐ฐ๐จ๐ซ๐ค๐ฌ ๐Ÿ’ฅ

โœ… ๐€๐ฅ๐ฉ๐š is a system for training and serving large-scale neural networks. Scaling neural networks toโ€ฆ
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The Art Of Decoding Data Science.
https://www.linkedin.com/posts/transformpartner_dataarchitecture-lambda-kappa-activity-7047466432762122240-Rf5T?utm_source=share&utm_medium=member_android
Linkedin
Transform Partner on LinkedIn: #dataarchitecture #lambda #kappa #dataandanalytics #datastrategyโ€ฆ
Modern #DataArchitecture: An Overview of #Lambda and #Kappa Architectures
 
In the ever-changing world of #DataAndAnalytics, it can be challenging to assessโ€ฆ
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The Art Of Decoding Data Science.
PYTHON FOR DATA SCIENCE CHEAT SHEET.pdf
3.9 MB
PYTHON FOR DATA SCIENCE CHEAT SHEET.pdf
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The Art Of Decoding Data Science.
https://medium.com/@roiyeho/pytorch-2-0-or-tensorflow-2-10-which-one-is-better-52669cec994/
Medium
PyTorch 2.0 vs. TensorFlow 2.10, which one is better?
PyTorch and TensorFlow are the most popular libraries for deep learning. PyTorch v2.0 was released a few days ago, so I wanted to test itโ€ฆ
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The Art Of Decoding Data Science.
https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
Stephenwolfram
What Is ChatGPT Doing โ€ฆ and Why Does It Work?
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
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The Art Of Decoding Data Science.
https://www.youtube.com/watch?v=z5WZhCBRDpU
YouTube
CHATGPT won't ever be the same again after this
HUGE ANNOUNCEMENT, CHATGPT+WOLFRAM! You saw it HERE first! Dr. Wolfram is a renowned polymath who has made significant contributions to the fields of physics, computer science, and mathematics.

Pod version: https://podcasters.spotify.com/pod/show/machinโ€ฆ
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The Art Of Decoding Data Science.
https://github.com/twitter/the-algorithm-ml
GitHub
GitHub - twitter/the-algorithm-ml: Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm - twitter/the-algorithm-ml
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The Art Of Decoding Data Science.
https://blog.zenml.io/langchain-slackbot/
www.zenml.io
Productionalizing LangChain and LlamaIndex with a ZenML MLOps Pipeline to Help Community Slack Support - ZenML Blog
We decided to explore how the emerging technologies around Large Language Models (LLMs) could seamlessly fit into ZenML's MLOps workflows and standards. We created and deployed a Slack bot to provide community support.
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The Art Of Decoding Data Science.
https://www.youtube.com/@StanfordMLSysSeminars/streams
93 views
The Art Of Decoding Data Science.
https://github.com/cocktailpeanut/dalai
GitHub
GitHub - cocktailpeanut/dalai: The simplest way to run LLaMA on your local machine
The simplest way to run LLaMA on your local machine - cocktailpeanut/dalai
107 views
The Art Of Decoding Data Science.
https://www.linkedin.com/posts/simonstiebellehner_mlops-ml-platform-activity-7047841057639718912-DaIq?utm_source=share&utm_medium=member_android
Linkedin
๐Ÿ‘‹ Simon Stiebellehner on LinkedIn: #mlops #ml #platform #mlops
The recording of my first meetup talk in 2023 is out! If you're interested in #MLOps and how we've been building our #ML #Platform over the last 2 years atโ€ฆ
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The Art Of Decoding Data Science.
2302.07842.pdf
520.9 KB
2302.07842.pdf
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The Art Of Decoding Data Science.
https://stanford-cs324.github.io/winter2023/syllabus/
CS 324
Topics / Syllabus
Understanding and building on foundation models.
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The Art Of Decoding Data Science.
https://arxiv.org/abs/2303.18223
100 views
The Art Of Decoding Data Science.
Hey everyone! Looking for a legit way to make some extra cash from home? Check out ySense - a trusted platform for paid online surveys, tasks, and more. Use my affiliate link to sign up and start earning today! #ySense #OnlineSurveys #WorkFromHome" https://www.ysense.com/?rb=135535741
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The Art Of Decoding Data Science.
https://www.linkedin.com/posts/peterjohnlawrence_knowledge-graphs-large-language-models-activity-7048912101829963776-AHYq?utm_source=share&utm_medium=member_android
Linkedin
Peter Lawrence on LinkedIn: Knowledge Graphs + Large Language Models = The ability for users to askโ€ฆ | 46 comments
https://lnkd.in/d4C-fTFY
Any #database is pretty useless unless the user can ask, and get answers to, their questions.  
* #KnowledgeGraphs are superb atโ€ฆ | 46 comments on LinkedIn
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