Agree. On that last bit – what are the coolest things you’re seeing on creating parametric or semantically meaningful abstracted representations from real world captures?
MACHINE LEARNING
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Machine Learning Algorithms Cheat Sheet Resource
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Machine learning algorithms cheat sheet: https://
bit.ly/3gbLfaA v/Himani Bansal -
Comprehensive Free Guide to LLM Fine-tuning Techniques and Methods
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if you're looking for a comprehensive guide to LLM finetuning, check this! a free 115-page book on arxiv, covering: > fundamentals of LLM
> peft (lora, qlora, dora, hft)
> alignment methods (ppo, dpo, grpo)
> mixture of experts (MoE)
> 7-stage fine-tuning pipeline
> multimodal -
New Stanford Course on Transformers and Large Language Models
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[New course] Transformers & Large Language Models, CME 295 Stanford Yet another excellent course on transformers and large language models with a consolidated curriculum starting right away from transformers. Topics/lectures:
– Intro to transformers
– Transformer-based models & -
Holistic Agent Leaderboard: Standardized AI Agent Evaluation Framework
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10. Holistic Agent Leaderboard The Holistic Agent Leaderboard (HAL) introduces a standardized framework for large-scale, reproducible AI agent evaluation across 9 models and 9 benchmarks, spanning coding, web navigation, science, and customer service.
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LLMs Brain Rot: Cognitive Degradation from Trivial Web Text
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7. LLMs Can Get “Brain Rot”! The authors test a clear hypothesis: continual pretraining on trivial, highly engaging web text degrades LLM cognition in ways that persist even after mitigation.
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Hybrid Ensemble Reward Optimization for LLM Reasoning
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8. Hybrid Reinforcement Hybrid Ensemble Reward Optimization is a reinforcement learning framework that combines binary verifier feedback with continuous reward-model signals to improve LLM reasoning.
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Dynamic Layer Routing: Retrofittable Router Optimization for Frozen LLMs
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6. Dynamic Layer Routing in LLMs A retrofittable way to add per-layer routers to frozen LLMs that decide to skip, execute, or repeat each block.
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Top AI Papers of the Week: October 13-19
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Top AI Papers of The Week (October 13-19): – Kimi-Dev
– Elastic-Cache
– Hybrid Reinforcement
– Cell2Sentence-Scale 27B
– Holistic Agent Leaderboard
– Dynamic Layer Routing in LLMs
– The Art of Scaling RL Compute for LLMs Read on for more: -
Cell2Sentence-Scale 27B: Converting Gene Expression into AI Training Data
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1. Cell2Sentence-Scale 27B C2S-Scale extends Cell2Sentence by converting gene expression into “cell sentences” and training LLMs on 50M+ cells plus biological text.