Attended Time Series Analysis (from @openHPI) by Mario Tormo Romero + read Time Series Forecasting using Foundation Models by Marco Peixeiro (from @ManningPub95643), took me beyond ARIMA and into the world of Neural Networks and Foundation Models, review - https://t.co/00yjqYamii
I recently read Statistics Every Programmer Needs by Gary Sutton, and published by @ManningPub95643. Book not only covers statistical techniques, but also useful quantitative techniques not normally expected. Heres my review, hope you find it useful -- https://t.co/Lsfp9sJlzl
This is Melissa Hortman, on June 14, 2025 she & her husband John were murdered in a politically motived attack. She stood for environment rights, abortion rights & sensible gun control policies.
No lowered flags!
Can we take a moment to remember her good works.
Please RT.
I recently reviewed Hands-on Artificial Intelligence for IoT by Dr Amita Kapoor and published by @PacktPublishing -- https://t.co/o73g3wzXUp , hope you find it useful!
I recently reviewed Essential GraphRAG by Tomaz Bratanic and Oskar Hane and published by @ManningPub95643 . Here is the link to my review -- https://t.co/XnZYZ0RLNT , hope you find it useful.
I recently applied software engineering best practices to my ML pipelines and wrote about it here. Let me know what you think, interested to hear your thoughts about how this can be improved -- https://t.co/V9p4cq5Cop
I attended @PyDataGlobal 2024 last week and wrote up a trip report about the talks I attended there -- https://t.co/2gA0QSrQee hope you find it useful.
Description of my implementation of #GraphRAG (subset of the one proposed by @MSFTResearch and @llama_index based on some components being available already) and the evaluation results of this system against baseline RAG using an LLM judge -- https://t.co/H5XLRRq1E8
@JasonCa71618805@PeterSweden7 Probably want to clarify that the "partisan politics -- and connections to the White House" are references to the Trump White House, this article is from 2017. TBF Sinclair's shilling for MAGA is old news to most but probably good to clarify.
Holy shit. How can they do this?? Iโm in utter disbelief.
Vance just repeated Trumpโs LIE that HE got $35 insulin for seniors.
That was 100% Biden and Kamala. RT this to correct the record!!
๐ At Elsevier, we foster an inclusive culture where diverse backgrounds and experiences thrive.
Hear from our colleagues and leaders on what inclusion and diversity mean to us: https://t.co/AUwZA9xpxa
#ElsevierDiversity#Inclusion#Innovation#WomenInTech#TechJobs
I did some experiments with Prompt Compression in a RAG (Retrieval Augmented Generation) pipeline using #LLMLingua framework and trained models and evaluated using Answer Relevancy as defined by @ragas_io. My methods and results -- https://t.co/QDNvdotsgk
@PicturesFoIder This is on the BART line, they explicitly forbid eating and drinking on stations and inside the carriages. I for one think its a good thing, it keeps the stations clean.
A colleague and I attended a hackathon to build something cool with multimodal LLMs couple of weeks back, here is what we built -- https://t.co/bIcJlXUMiMโฆ , and our learnings from it, hope you find it useful.
My review of https://t.co/iFtJWD0pRd by Reuven M Lerner from @ManningBooks -- https://t.co/Dnbh3j6eKY hope my review helps if you are looking to improve your Pandas skills as I was.
Write-up of our project submission for the #GoogleAIHackathon, task was to build creative app using #Gemini. We built an LLM based evaluation framework for #RAG systems w/example-driven prompts optimized by #DSPy to generate scores from #RAGAS metrics -- https://t.co/br0EptS292
The latest @AByteOfCoding Issue 403 was all about performance analysis and comparison:
1.@palsujit - Performance Analysis of Float vs Byte vs Binary Vectors on OpenSearch
2.@MarkCallaghanDB - The Insert Benchmark: MariaDB, MySQL, new small server, cached workload, some concurrency
3. @pike0000 - Performance comparison of string concatenation in Go language
Thank you to the incredible authors for sharing this content! Link below (and don't forget to sign up ;)
I wrote up some findings on vector search performance, using pre-trained vs fine-tuned embeddings, and using float vs byte vs binary vectors on OpenSearch (the first two using Cosine Distance and the last using Hamming Distance), hope you find it useful -- https://t.co/NjfeOz7m2s
My trip report of talks I attended at Health Care and Life Sciences (HCLS) workshop at #KGC2024 where I also presented (both virtually) -- https://t.co/7syZhaDXKu