r/machinelearningnews

r/machinelearningnews

37.5K members
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r/machinelearningnews is a subreddit with 37.5K members. Its distinguishing qualities are that the community is size-large.
We are a community of machine learning enthusiasts/researchers/journalists/writers who share interesting news and articles about the applications of AI. You will never miss any updates on ML/AI/CV/NLP fields because we post them daily. We hope that you subscribe to us so that you'll be up-to-date with the latest developments around the world in terms of machine learning and related areas.

Popular Topics in r/machinelearningnews

#1
Research
: "This AI Paper from UCSD and Google AI Proposes Chain-of-Table Framework: Enhancing the Reasoning Capability of LLMs by Leveraging the Tabular Structure"
57 posts
#2
ML/CV/DL News
: "JPMorgan AI Research Introduces DocGraphLM: An Innovative AI Framework Merging Pre-Trained Language Models and Graph Semantics for Enhanced Document Representation in Information Extraction and QA"
13 posts
#3
Cool Stuff
: "Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard!"
9 posts
#4
AI Event
: "Check out this FREE AI Webinar: 'Using ANN for Vector Search at Speed & Scale (Demo on AWS)'"
8 posts
#5
MLOps
: "Experiments with Mixtral-8x7B using Multiple Libraries - Got max 52 tokens/sec. Thoughts?"
3 posts
#6
null
: "We just launched our 2nd FREE Email Course (5 Days): AI in Healthcare: Create your own Meditron 7B LLM + RAG app"
1 posts
#7
Open-Source
: "Meet AI Gateway: An Open-Sourced Fast AI Gateway Routed to 100+ Large Language Models LLMs with One Fast and Friendly API"
1 posts

Popular Posts in r/machinelearningnews

This AI Paper from UCSD and Google AI Proposes Chain-of-Table Framework: Enhancing the Reasoning Capability of LLMs by Leveraging the Tabular Structure
💬 6
⬆ 77
Cornell Researchers Unveil MambaByte: A Game-Changing Language Model Outperforming MegaByte
💬 5
⬆ 36
[R] Google DeepMind Diagnostic LLM Exceeds Human Doctor Top-10 Accuracy (59% vs 34%)
💬 2
⬆ 31
Researchers from the University of Washington and Allen Institute for AI Present Proxy-Tuning: An Efficient Alternative to Finetuning Large Language Models
💬 3
⬆ 31
Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard!
💬 4
⬆ 30
Google DeepMind Researchers Unveil a Groundbreaking Approach to Meta-Learning: Leveraging Universal Turing Machine Data for Advanced Neural Network Training
💬 1
⬆ 29
Google DeepMind Researchers Propose WARM: A Novel Approach to Tackle Reward Hacking in Large Language Models Using Weight-Averaged Reward Models
💬 1
⬆ 29
This AI Paper from Johns Hopkins and Microsoft Revolutionizes Machine Translation with ALMA-R: A Smaller Sized LLM Model Outperforming GPT-4
💬 3
⬆ 29
This Paper Reveals The Surprising Influence of Irrelevant Data on Retrieval-Augmented Generation RAG Systems’ Accuracy and Future Directions in AI Information Retrieval
💬 5
⬆ 28
JPMorgan AI Research Introduces DocGraphLM: An Innovative AI Framework Merging Pre-Trained Language Models and Graph Semantics for Enhanced Document Representation in Information Extraction and QA
💬 4
⬆ 27
Alibaba Researchers Introduce Ditto: A Revolutionary Self-Alignment Method to Enhance Role-Play in Large Language Models Beyond GPT-4 Standards
💬 4
⬆ 26
This AI Paper from Meta and NYU Introduces Self-Rewarding Language Models that are Capable of Self-Alignment via Judging and Training on their Own Generations
💬 1
⬆ 24
This AI Paper from Meta AI and MIT Introduces In-Context Risk Minimization (ICRM): A Machine Learning Framework to Address Domain Generalization as Next-Token Prediction
💬 1
⬆ 23
This AI Paper from ETH Zurich, Google, and Max Plank Proposes an Effective AI Strategy to Boost the Performance of Reward Models for RLHF (Reinforcement Learning from Human Feedback)
💬 1
⬆ 22
DeepSeek-AI Proposes DeepSeekMoE: An Innovative Mixture-of-Experts (MoE) Language Model Architecture Specifically Designed Towards Ultimate Expert Specialization
💬 4
⬆ 21

Member Growth in r/machinelearningnews

Daily
+-6 members(-0.0%)
Monthly
+1K members(3.1%)
Yearly
+23K members(163.8%)

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