You could argue that JEPA is just LLM+tinything. Although getting tinything to actually work right is pretty hard.
MACHINE LEARNING
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AI Update March 14 2025 News and Views From Past Week
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AI Update, March 14, 2025: AI News and Views From the Past Week
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso -
VeRL and LangGraph Integration for Multi-Turn RL Agents
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VeRL + LangGraph A seamless integration combining VeRL's reinforcement learning with LangGraph for enhanced multi-turn RL agents. Streamlines training-to-production workflows with automated tool handling and conversation management. Explore the implementation:
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Data Context Problems: Critical AI Challenge
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Exactly. That's a big problem in context with the data
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Essential ML Concepts and Papers Explained Resource
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A list explaining key ML concepts and papers: https://
github.com/dair-ai/ML-Pap
ers-Explained
… v/
@omarsar0 -
DataFrame Analyzer: Local Private Pandas Workflow with ChatOllama
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DataFrame Analyzer Streamline your Pandas workflow with this LangChain solution using ChatOllama for local, private DataFrame analysis. Automatically transform complex datasets into clear, human-readable reports. Check out the implementation https://
towardsdatascience.com/llms-pandas-ho
w-i-use-generative-ai-to-generate-pandas-dataframe-summaries-2/
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Centaur Model: Human-AI Collaboration Research Published
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Paper: https://
nature.com/articles/s4158
6-025-09215-4
… Model: https://
marcelbinz.github.io/centaur -
Llama 3.1 Fine-tuned Model Predicts Human Behavior Patterns
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An AI model (Llama 3.1 70B) fine-tuned on the results of 60,000 people in psychology experiments shows some real promise in using LLMs for studying human behavior. It predicts actual human behavior in held-out data & it generalizes to out-of-distribution tasks and experiments.
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GSM1K shows test set leakage; search enables instant leaks
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This (+ normal, old-fashioned leakage) is pretty much the whole argument for Scale’s semi-private benchmarks. E.g. GSM1K was made to show leakage from GSM8K test. In theory search makes all test sets insta-leak even if in practice we aren’t quite there.
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Energy-Based Transformers: Scalable Learning and Reasoning Advances
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Energy-Based Transformers are Scalable Learners and Thinkers Gladstone et al.: https://
arxiv.org/abs/2507.02092 #ArtificialIntelligence #DeepLearning #MachineLearning