Sonny Jaura, PhD @Machine_Enginee

Connecting with people to expand my ML network. Open to opportunities San Francisco, CA Joined November 2021

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Peter Henderson @PeterHndrsn

19 hours ago

Excited to offer my AI Law class again at Princeton this year. We'll be more proactively sharing lecture notes/materials and more this year on the course webpage! Imo, we have a unique offering that emphasizes how the technical details affect legal outcomes. Check it out! 🔗👇

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TuringPost @TheTuringPost

a day ago

Compute is not a big deal for LLMs now, but memory is. It's an idea used in XQuant – a new method by @UCBerkeley created to reduce memory use up to 12x. - XQuant doesn't store usual KV cache - It quantizes and stores only X - the layer input activations - When needed, it…

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Stat.ML Papers @StatMLPapers

15 hours ago

Batched Stochastic Matching Bandits ift.tt/3ZoCbFO

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jason liu @jxnlco

20 hours ago

anthropic job applications ask for trio experience, interesting

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Scott Jeen @enjeeneer

2 days ago

My PhD thesis--On Zero-Shot Reinforcement Learning--is now on arXiv.

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Tivadar Danka @TivadarDanka

2 days ago

If I had to learn the mathematics of machine learning from scratch, I'd follow this roadmap:

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Dan | Machine Learning Engineer @DanKornas

2 days ago

Machine Learning System Design (with end-to-end examples)

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Anjney Midha @AnjneyMidha

2 days ago

if you run an AI lab, pls make sure your evals team has read this

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Sepp Hochreiter @HochreiterSepp

3 days ago

xLSTM excels in time series forecasting: arxiv.org/abs/2509.01187 . Introduces "stochastic xLSTM" (StoxLSTM). "StoxLSTM consistently outperforms state-of-the-art baselines with better robustness and stronger generalization ability." TiRex shows that xLSTM is time series king.

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Frank Nielsen @FrnkNlsn

3 days ago

Two excellent books that I recommend on information theory: * "Information theory, inference and learning algorithms" by Sir MacKay Available at: inference.org.uk/itila/book.html * "Information Theory: From Coding to Learning" by Y. Polyanskiy and Y. Wu Available from authors home page

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Tom Dörr @tom_doerr

4 days ago

speech-to-text and text-to-speech with Llama-3, real-time chatbot

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Yuvraj Singh @YuvrajS9886

4 days ago

nn.labml.ai one of the best websites to learn about I=the inner working of various models in ML/DL to GenAI with illustrations!

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Jackson Atkins @JacksonAtkinsX

4 days ago

Apple and Oxford just made AI 6.5x better at problem-solving. The secret: it teaches AI agents to ask perfect questions. This rockets success rates from 14% to 91%. No need for fine-tuning or retraining. It runs on current models. Here's how it works: It's a strategic loop…

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Kirk Borne @KirkDBorne

7 days ago

Graph Database Systems: python4data.science/en/latest/data… + Graph Data Modeling with #Python — Practical guide to curating, analyzing, & modeling data with graphs: amzn.to/3PYxCPF v/ @PacktDataML 𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: 🔵Transform relational data models into graph data model…