🎥 Random Samples
Random Samples is a weekly seminar series that airs live on our Red Hat YouTube page. View full catalog →
📹 Adaptive Soft-Thresholding for Hardware-Aligned Model Compression
👤 Speaker: Ayoub Ghriss
July 10, 2026
📹 Rounding to Remember: How Weight-Storage Precision Controls Catastrophic Forgetting
👤 Speaker: Oleg Silkin
June 26, 2026
📹 A Closer Look at RLVR Through the Lens of Reasoning Strategies
👤 Speaker: Eshwar Sivaramakrishnan
June 12, 2026
📹 A Tale of Two Models: Personal AI Assistant Meets Frontier Intelligence
👤 Speaker: Hao Wang
June 05, 2026
📹 Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
👤 Speaker: Isha Puri
May 15, 2026
📹 Agent Factories for High-Level Synthesis
👤 Speaker: Abhishek Bhandwaldar, Akash Srivastava
May 01, 2026
📹 Towards Self-Adapting Models
👤 Speaker: Jyo Pari
April 17, 2026
📹 Self-Distillation as a New Framework for Continual Learning
👤 Speaker: Idan Shenfeld
April 10, 2026
📹 Reasoning with Sampling: Your Base Model is Smarter Than You Think
👤 Speaker: Aayush Karan
April 03, 2026
📹 Advancing Real-World Long-Horizon Tool-Using LLM Agents
👤 Speaker: Zhenting Wang
March 27, 2026
📹 Nondeterminism in LLM Inference & Training-Rollout Mismatch
👤 Speaker: Xinheng Ding
March 20, 2026
📹 Evolutionary Arms Races Between LLMs in Core War
👤 Speaker: Akarsh Kumar
March 13, 2026
📹 Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
👤 Speaker: Qizheng Zhang
March 06, 2026
📹 Few-Shot Diffusion Language Models
👤 Speaker: Tunyu Zhang
February 27, 2026
📹 Instance-Adaptive Inference-Time Scaling with Calibrated Process Reward Models
👤 Speaker: Young Jin Park
October 03, 2025
📹 Hopscotch: Discovering and Skipping Redundancies in Language Models
👤 Speaker: Mustafa Eyceoz
August 08, 2025
📹 Grounding Feedback is All You Need: Aligning Small Vision-Language Models
👤 Speaker: Giorgio Giannone
July 18, 2025
📹 On scalable RL in the era of agentic LLMs
👤 Speaker: Aldo Pareja
July 11, 2025
📹 LLM Meets Cache: From Application to Architecture
👤 Speaker: Shuhang Lin
June 27, 2025
📹 Accelerating LLM Knowledge Learning and Unlearning Research via Unified Frameworks
👤 Speaker: Wenlong Zhao
June 13, 2025
📹 Towards Combinatorial Interpretability of Neural Computation
👤 Speaker: Nir Shavit
May 09, 2025
📹 Synthetic Data Generation via SDG-Hub
👤 Speaker: Abhishek Bhandwaldar, Shivchander Sudalairaj, Akash Srivastava
May 02, 2025
📹 Continual Post-Training
👤 Speaker: Nikhil Nayak, Krishnateja Killamsetty
April 25, 2025
📹 State of LLM Compression from Research to Production
👤 Speaker: Mark Kurtz
April 18, 2025
📹 Activation-Informed Merging of Large Language Models
👤 Speaker: Amin Heyrani Nobari & Kaveh Alim
April 11, 2025
📹 Scaling Inference Time Scaling: Subspace-orthogonal KV Cache Quantization
👤 Speaker: Hao Wang, Ligong Han
April 04, 2025
📹 Probabilistic Inference Approach to Inference-Time Scaling of LLMs
👤 Speaker: Isha Puri
February 07, 2025
📹 Practitioner's Guide to Instruction Tuning
👤 Speaker: Aldo Pareja
January 31, 2025
📹 Recent Advances in Bayesian Uncertainty Estimation for LLMs
👤 Speaker: Haizhou Shi
January 17, 2025
📹 Scaling Preference Alignment: Overcome Human Data Bottlenecks with Density Ratios from Open-source LLMs
👤 Speaker: GX Xu
January 10, 2025
🎙️ No Math AI
No Math AI is a monthly podcast designed for the AI community and enthusiasts who want to better understand how AI research translates into real-world business impact—without the complex equations.
Hosted by Dr. Akash Srivastava (Red Hat) and Isha Puri (MIT), this series distills critical AI concepts into practical takeaways to help practitioners, businesses, and curious minds accelerate adoption with confidence.
📹 Inference Time Scaling for Enterprises
👤 Speaker: Matt Hicks, Chris Wright
June 12, 2025
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📹 Generative Optimization in Engineering Design
👤 Speaker: Dr. Faez Ahmed
April 23, 2025
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📹 Inference-time scaling: How small models beat the big ones
👤 Speaker: Shivchander Sudalairaj, GX Xu, Kai Xu
March 18, 2025
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🎬 Other Select Talks
📹 Language Model Post-Training in 2025: an Overview of Customization Options Today
👤 Speaker: Mustafa Eyceoz
September 20, 2025
📹 SDG_Hub: An Open-Source Toolkit for Synthetic Data Generation & LLM Customization
👤 Speaker: Shivchander Sudalairaj & Abhishek Bhandwaldar
September 20, 2025
📹 Unlocking Smarter AI with Inference-Time Scaling
👤 Speaker: Kai Xu & GX Xu
September 19, 2025
📹 Sculpting Subspaces: Constrained Full Fine-Tuning for Continual Learning in LLMs
👤 Speaker: Nikhil Nayak
September 19, 2025