#reinforcement-learning
#reinforcement-learning

4 weeks ago

Artificial intelligence

This AI startup wants to use technology to automate every job

Artificial intelligence

Prime Intellect Releases INTELLECT-2: A 32B Parameter Model Trained via Decentralized Reinforcement

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 enhances AI reasoning and adaptability using Reinforcement Learning and long chains of thought.

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 model uses Reinforcement Learning for advanced reasoning and problem-solving, moving beyond traditional supervised learning methods.

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 enhances AI reasoning and problem-solving using Reinforcement Learning, surpassing limitations of traditional supervised learning methods.

fromZDNET

AI has grown beyond human knowledge, says Google's DeepMind unit

Advancing AI requires experiential learning beyond traditional model training methods.

4 weeks ago

Artificial intelligence

This AI startup wants to use technology to automate every job

Prime Intellect Releases INTELLECT-2: A 32B Parameter Model Trained via Decentralized Reinforcement

PRIME Intellect's INTELLECT-2 leverages decentralized asynchronous reinforcement learning for enhanced efficiency and flexibility in model training.

Asynchronous training facilitates a significant improvement in performance across various tasks compared to previous models.

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 enhances AI reasoning and adaptability using Reinforcement Learning and long chains of thought.

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 model uses Reinforcement Learning for advanced reasoning and problem-solving, moving beyond traditional supervised learning methods.

DeepSeek R1: Unlocking Advanced AI Through Reinforcement Learning and Emergent Self-Reflection

DeepSeek R1 enhances AI reasoning and problem-solving using Reinforcement Learning, surpassing limitations of traditional supervised learning methods.

fromZDNET

more#artificial-intelligence

AI has grown beyond human knowledge, says Google's DeepMind unit

Advancing AI requires experiential learning beyond traditional model training methods.

fromArs Technica

How a big shift in training LLMs led to a capability explosion

Initial excitement around AI models like BabyAGI and AutoGPT faded as limitations in multi-step reasoning became apparent.

Meta hires key OpenAI researcher to work on AI reasoning models | TechCrunch

Meta hires influential OpenAI researcher Trapit Bansal to boost its AI superintelligence unit.

#ai

Artificial intelligence

MiniMax Releases M1: A 456B Hybrid-Attention Model for Long-Context Reasoning and Software Tasks

Artificial intelligence

Agentica Project's Open Source DeepCoder Model Outperforms OpenAI's O1 on Coding Benchmarks

Artificial intelligence

OpenAI opens the door to reinforcement fine-tuning for o4-mini

Artificial intelligence

Google just fired the first shot of the next battle in the AI war

fromDeveloper Tech News

Artificial intelligence

Open-source AI matches coding abilities of proprietary models

Artificial intelligence

DeepSeek introduces self-learning AI models

Artificial intelligence

MiniMax Releases M1: A 456B Hybrid-Attention Model for Long-Context Reasoning and Software Tasks

Artificial intelligence

Agentica Project's Open Source DeepCoder Model Outperforms OpenAI's O1 on Coding Benchmarks

OpenAI opens the door to reinforcement fine-tuning for o4-mini

OpenAI's new reinforcement fine-tuning allows simpler customization of the o4-mini AI model for businesses, enhancing adaptability and performance.

Google just fired the first shot of the next battle in the AI war

The paper by Silver and Sutton signals a new AI era focused on experiential learning and innovation beyond previous technological advancements.

fromDeveloper Tech News

Artificial intelligence

Open-source AI matches coding abilities of proprietary models

Artificial intelligence

DeepSeek introduces self-learning AI models

more#ai

Business intelligence

The Next Evolution in Business Process Improvement | HackerNoon

Business processes are standardized activities organizations use to achieve results.

AB testing and Reinforcement Learning provide dynamic strategies to assess and improve business processes.

DevOps

What BPM Pros Really Think About AI and A/B Testing Process Change | HackerNoon

AB-BPM methodology integrates A/B testing and reinforcement learning for effective business process improvement.

The HackerNoon Newsletter: The Double Life of a TensorFlow Function (6/4/2025) | HackerNoon

AI companions are a multi-billion dollar industry, transforming from fantasy to reality.

Reinforcement Learning shapes technology and innovation through its simple yet impactful concept.

When Robot Shows Human-Like Recovery and Safety Behaviors | HackerNoon

TRANSIC demonstrates improved human data scalability in robotic learning, achieving better performance through effective online corrections.

#robotics

Artificial intelligence

AI Tutor Is Real, And It's Already Here | HackerNoon

fromEngadget

Watch the Atlas robot bust a move in Boston Dynamics' latest video

Boston Dynamics demonstrates impressive robotic body movements using reinforcement learning and AI collaboration.

Artificial intelligence

AI Tutor Is Real, And It's Already Here | HackerNoon

fromEngadget

Watch the Atlas robot bust a move in Boston Dynamics' latest video

Boston Dynamics demonstrates impressive robotic body movements using reinforcement learning and AI collaboration.

more#robotics

Improvements in 'reasoning' AI models may slow down soon, analysis finds | TechCrunch

The AI industry's performance gains from reasoning models may plateau soon.

Online learning

Decoding the Magic: How Machines Master Human Language | HackerNoon

Large language models learn language similarly to children: through reading, guidance, and feedback.

OMG science

fromwww.nature.com

Whole-body physics simulation of fruit fly locomotion

The study presents a whole-body model of fruit flies that accurately simulates their locomotion and neural control.

fromInsideHook

Do OpenAI's New Models Have a Hallucination Problem?

OpenAI's new models are smart but have increased hallucinations compared to past versions.

#nash-optimization

Artificial intelligence

Batched Prompting for Efficient GPT-4 Annotatio | HackerNoon

Roam Research

Understanding Concentrability in Direct Nash Optimization | HackerNoon

Artificial intelligence

Batched Prompting for Efficient GPT-4 Annotatio | HackerNoon

Roam Research

Understanding Concentrability in Direct Nash Optimization | HackerNoon

more#nash-optimization

fromwww.nytimes.com

OpenAI Unveils New Reasoning' Models o3 and o4-mini

OpenAI has introduced advanced A.I. technologies capable of reasoning through tasks involving both text and images.

AI That Trains Itself? Here's How it Works | HackerNoon

The iterative contrastive self-improvement method significantly enhances policy training efficiency and output quality.

Online learning

Exploring Cutting-Edge Approaches to Iterative LLM Fine Tuning | HackerNoon

RLHF transforms language model training, despite challenges in stability and memory requirements.

The Art of Arguing With Yourself-And Why It's Making AI Smarter | HackerNoon

The paper presents Direct Nash Optimization, enhancing large language model training by utilizing pair-wise preferences instead of traditional reward maximization.

fromHarvard Gazette

Like having a personal healthcare coach in your pocket - Harvard Gazette

Advanced algorithms offer personalized support for cancer patients and cannabis users, enhancing medication adherence and behavioral change.

Video games

Your Next Slang Phrase Might be Created by an AI | HackerNoon

Large Language Models use advanced neural networks for effective language understanding and generation.

Beyond Seen Worlds: EXPLORER's Journey into Generalized Reasoning | HackerNoon

To accomplish this, policy generalization is a crucial feature that an ideal RL agent should have. It should perform well on unseen entities or out-of-distribution (OOD) data.

Board games

Neuro-Symbolic Reasoning Meets RL: EXPLORER Outperforms in Text-World Games | HackerNoon

EXPLORER enhances RL performance in text-based games by combining symbolic reasoning and neural exploration.

#large-language-models

fromTheregister

Artificial intelligence

El Reg digs its claws into Alibaba's QwQ

fromtowardsdatascience.com

How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo | Towards Data Science

Reinforcement Learning (RL) is crucial in training LLMs by allowing them to learn from their own generated outputs.

fromTheregister

Artificial intelligence

El Reg digs its claws into Alibaba's QwQ

fromtowardsdatascience.com

more#large-language-models

How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo | Towards Data Science

Reinforcement Learning (RL) is crucial in training LLMs by allowing them to learn from their own generated outputs.

fromArs Technica

Researchers astonished by tool's apparent success at revealing AI's hidden motives

AI models can unintentionally reveal hidden motives despite being designed to conceal them.

Understanding AI's hidden objectives is crucial to prevent potential manipulation of human users.

#turing-award

AI pioneers scoop Turing Award for reinforcement learning work | TechCrunch

Barto and Sutton won the 2024 Turing Award for their pioneering work in reinforcement learning.

fromThe Verge

Latest Turing Award winners again warn of AI dangers

AI developers must prioritize safety and testing before public releases.

Barto and Sutton's Turing Award highlights the importance of responsible AI practices.

fromAxios

Turing Award honors AI's reinforcement learning duo

The Turing Award honors Andrew Barto and Richard Sutton for their foundational work in reinforcement learning, a critical aspect of modern AI.

AI pioneers scoop Turing Award for reinforcement learning work | TechCrunch

Barto and Sutton won the 2024 Turing Award for their pioneering work in reinforcement learning.

fromThe Verge

Latest Turing Award winners again warn of AI dangers

AI developers must prioritize safety and testing before public releases.

Barto and Sutton's Turing Award highlights the importance of responsible AI practices.

fromAxios

Turing Award honors AI's reinforcement learning duo

The Turing Award honors Andrew Barto and Richard Sutton for their foundational work in reinforcement learning, a critical aspect of modern AI.

more#turing-award

fromtowardsdatascience.com

How to Train LLMs to Think (o1 & DeepSeek-R1)

OpenAI's o1 model uses thinking tokens to improve reasoning in language models, enhancing performance with more generated tokens.

DeepSeek R1: Hype vs. Reality-A Deeper Look at AI's Latest Disruption

DeepSeek R1's launch signals a major evolution in large language models, demonstrating unique training methods and competitive advantages over existing models.

fromFast Company

How Scale became the go-to company for AI training

AI companies like OpenAI depend on Scale AI for human-driven training of LLMs, emphasizing the importance of human feedback.

fromScienceDaily

9 months ago

New methods for whale tracking and rendezvous using autonomous robots

Project CETI employs a new reinforcement learning framework using autonomous drones to locate and predict sperm whale surfacing, enhancing communication research and conservation efforts.

Artificial intelligence