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rajistics.bsky.socia

@rajistics.bsky.social

Fixated on practical AI - short posts and lots of short videos - at Contextual AI was at huggingface, snorkel, datarobot

159 Followers  |  39 Following  |  17 Posts  |  Joined: 18.04.2023  |  1.5458

Latest posts by rajistics.bsky.social on Bluesky


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If you want to really assess your RAG system โ€”
you need to go deeper.

Ask:
โœ… Is your retriever surfacing the right chunks?
โœ… Is your generator actually using them โ€” or just hallucinating? ๐Ÿค”

Here is how I like to think about my RAG metrics (inspired by RAGAS)

01.04.2025 14:50 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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These are common patterns from Hugging Face and Anthropic
Hugging Face - SmolAgents: huggingface.co/blog/smolage...

Anthropic - Building effective agents: www.anthropic.com/research/bui...

04.01.2025 22:30 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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Are you going to chat all day with LLMs? ๐Ÿค
Here are the essential agentic workflows. ๐Ÿ‘‡

04.01.2025 22:30 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Why Parquet? Introducing the the file format for data engineering and machine learning
YouTube video by Rajistics - data science, AI, and machine learning Why Parquet? Introducing the the file format for data engineering and machine learning

Dive into Parquet

It's a leading format for data engineering, data science, and machine learning.

youtube.com/shorts/_CnEK...

16.12.2024 15:02 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
PyPI Name Squatting - How to reserve your python package name
YouTube video by Rajistics - data science, AI, and machine learning PyPI Name Squatting - How to reserve your python package name

PyPI Name Squatting

This didn't happen to me recently :)

To learn more:
An Empirical Analysis of the Python Package Index (PyPI) - arxiv.org/pdf/1907.11073

blog.checkpoint.com/securing-the...

blog.orsinium.dev/posts/py/pyp...

My Video:
youtube.com/shorts/H1Uja...

13.12.2024 20:12 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Using Mechanistic Interpretability to Steer a Model's Predictions (Transluce's Monitor)
YouTube video by Rajistics - data science, AI, and machine learning Using Mechanistic Interpretability to Steer a Model's Predictions (Transluce's Monitor)

Why do language models think 9.11 is greater than 9.9? ๐Ÿค”
Mechanistic Interpretability is a useful tool for investigation and fixing the issue.
I am using Transluce's Monitor here:
My video summary: www.youtube.com/shorts/Kuh-i...
Try Monitor: monitor.transluce.org/dashboard

04.12.2024 13:32 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Top 26 Data Science Algorithms
YouTube video by Rajistics - data science, AI, and machine learning Top 26 Data Science Algorithms

My ranking of the top 26 algorithms for practical data science, breaking down their strengths, quirks, and when (or if) you should use them.

youtube.com/shorts/dt4uX...

30.11.2024 17:14 โ€” ๐Ÿ‘ 1    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Pandas versus Polars: A Quick Comparison of Single Node DataFrame Alternatives
YouTube video by Rajistics - data science, AI, and machine learning Pandas versus Polars: A Quick Comparison of Single Node DataFrame Alternatives

Polars verus Pandas
What is the best single node dataframe?

For Polars check out:
github.com/pola-rs/polars

Polars vs. pandas: Whatโ€™s the Difference?
blog.jetbrains.com/pycharm/2024...

Database-like ops benchmark - duckdblabs.github.io/db-benchmark/

Short Video:
youtube.com/shorts/8DkIR...

29.11.2024 17:51 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Preview
bluesky-community/one-million-bluesky-posts ยท Datasets at Hugging Face Weโ€™re on a journey to advance and democratize artificial intelligence through open source and open science.

So I can expect a bunch of projects looking at the sentiment of bluesky posts ๐Ÿ˜‚

27.11.2024 01:29 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Physics of Language Models - Extracting Knowledge
YouTube video by Rajistics - data science, AI, and machine learning Physics of Language Models - Extracting Knowledge

The Physics of Language Models
Check out a scientific approach that experiments with model architecture, synthetic datasets, and tasks to understand how language models work.

My short intro: youtu.be/9saXkwHKaLs

Longer Video: ICML 2024 Tutorial by Zeyuan Allen-Zhu - youtu.be/yBL7J0kgldU

24.11.2024 21:57 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Communications here ๐Ÿ™‹โ€โ™‚๏ธ

22.11.2024 22:18 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Improving Data Quality in MultiModal Models (Molmo and PixMO)
YouTube video by Rajistics - data science, AI, and machine learning Improving Data Quality in MultiModal Models (Molmo and PixMO)

Ai2's 700k examples > Meta's 6B examples
the importance of data quality

My video: youtube.com/shorts/-_DGp...

Background:
Hannaneh Hajishirzi - OLMo: Accelerating the Science of Language Modeling (COLM)
www.youtube.com/watch?v=qMTz...
Molmo and PixMo paper -
arxiv.org/pdf/2409.17146

20.11.2024 19:42 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Are you Smarter than a AI Language Model like GPT4?
YouTube video by Rajistics - data science, AI, and machine learning Are you Smarter than a AI Language Model like GPT4?

Are you smarter than GPT-3 (you don't have a chance against GPT-4)
Test yourself:

Are you smarter than a language model? -
joel.tools/smarter/
Language modeling game!
rr-lm-game.herokuapp.com
Are You Smarter Than An LLM?
d.erenrich.net/are-you-smar...

My video on the topic:
youtu.be/kXQGivEAF1U

18.11.2024 15:47 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Why Logloss is a better loss function than Mean Squared Error
YouTube video by Rajistics - data science, AI, and machine learning Why Logloss is a better loss function than Mean Squared Error

Why do we use LogLoss as an error metric?
Exploring Mean Error, Mean Squared Error, and Log Loss

youtu.be/S_zxVfKI55c

15.11.2024 16:22 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Wow. I had no idea on BlueSky you can enable external media so you can watch YouTube videos on this platform. It overcomes the problem of only being able to upload 60 seconds of video here. Itโ€™s gets better & better

14.11.2024 08:47 โ€” ๐Ÿ‘ 18256    ๐Ÿ” 1976    ๐Ÿ’ฌ 260    ๐Ÿ“Œ 150

๐Ÿ”น 5th Place:
LightGBM + Time Series Foundation Model (TFM)

๐Ÿ”น 4th Place:
Temporal Fusion Transformer (TFT) from Neural Forecast

๐Ÿ”น 3rd:
๐Ÿš€ LightGBM with recursive & direct forecasting

๐Ÿ”น 2nd:
๐ŸŒ  LightGBM + Seasonal Theta

๐Ÿ”น 1st:
๐Ÿงฎ Anchored Multiplicative Seasonal Index + Seasonal ARIMA + LightGBM

14.11.2024 13:57 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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What are the cutting-edge time series approaches? ๐Ÿ“ˆโœจ
The VN1 Forecasting Competition showed winning techniques including time series foundation models, deep learning, statistical methods, machine learning, and ensembling.
Check out the techniques of the top 5 teams.
www.youtube.com/watch?v=CRGA...

14.11.2024 13:57 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
4 Techniques for Dimensionality Reduction: PCA, AutoEncoder, TSNE, and UMAP
YouTube video by Rajistics - data science, AI, and machine learning 4 Techniques for Dimensionality Reduction: PCA, AutoEncoder, TSNE, and UMAP

4 Techniques for Dimensionality Reduction: PCA, AutoEncoder, TSNE, and UMAP

youtu.be/EHWBP-OQwHk

11.11.2024 14:47 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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