reinforcement learning

The ‘era of experience’ will unleash self-learning AI agents across the web—here’s how to prepare

• Agent2Agent
• AI
• AI computer use
• AI research
• AI, ML and Deep Learning
• API
• data
• DeepMind
• large language models
• large language models (LLMs)
• LLMs
• Model Context Protocol (MCP)
• reinforcement learning
• Uncategorized

The ‘era of experience’ will unleash self-learning AI agents across the web—here’s how to prepare

admin April 30, 2025

AI visionaries predict an ‘Era of Experience’ where AI learns autonomously, and it will have important implications...

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30 seconds vs. 3: The d1 reasoning framework that’s slashing AI response times

• AI
• AI research
• AI, ML and Deep Learning
• autoregressive language models
• Belladati
• Business
• d1
• diffusion models
• diffusion-based large language models (dLLMs)
• Group Relative Policy Optimization (GRPO)
• large language models
• LLaDA
• LLM reasoning
• LLMs
• masked diffusion models
• Mercury model
• Meta AI research
• Proximal Policy Optimization (PPO)
• reasoning models
• reinforcement learning
• research
• Supervised fine-tuning (SFT)
• UCLA
• Uncategorized

30 seconds vs. 3: The d1 reasoning framework that’s slashing AI response times

admin April 28, 2025

d1 framework changes boosts diffusion LLMs with novel reinforcement learning, unlocking efficient, problem-solving AI possibilities.Read More

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DeepCoder delivers top coding performance in efficient 14B open model

• AI
• AI Coding
• AI research
• AI, ML and Deep Learning
• Business
• Codeforces
• Deepseek R1
• Group Relative Policy Optimization (GRPO)
• HumanEval+
• large language models
• large language models (LLMs)
• LiveCodeBench (LCB)
• LLMs
• reinforcement learning
• research
• Together AI
• Uncategorized

DeepCoder delivers top coding performance in efficient 14B open model

admin April 10, 2025

DeepCoder-14B competes with frontier models like o3 and o1—and the weights, code, and optimization platform are open...

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DeepSeek unveils new technique for smarter, scalable AI reward models

• AI
• AI applications
• AI research
• AI, ML and Deep Learning
• category-/Computers & Electronics
• category-/Science/Computer Science
• Deepseek AI
• gemma 2
• gen AI
• Generative AI
• generative reward modeling (GRM)
• GPT 4o
• large language models
• large language models (LLMs)
• LLMs
• reinforcement learning
• research
• reward models (RMs)
• Self-Principled Critique Tuning (SPCT)
• Uncategorized

DeepSeek unveils new technique for smarter, scalable AI reward models

admin April 8, 2025

Reward models holding back AI? DeepSeek’s SPCT creates self-guiding critiques, promising more scalable intelligence for enterprise LLMs.Read...

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The TAO of data: How Databricks is optimizing  AI LLM fine-tuning without data labels

• AI
• ai models
• AI, ML and Deep Learning
• benchmarks
• category-/Business & Industrial
• category-/Science/Computer Science
• data
• Data Infrastructure
• Data Labelling
• data lakehouse
• Data management
• Databricks
• Databricks Reward Model (DBRM)
• fine-tuning
• LLaMA
• LLMs
• machine learning
• mosaic ml
• MosaicML
• queries
• reinforcement learning
• SQL
• Tao
• Test-time Adaptive Optimization
• test-time compute
• Uncategorized

The TAO of data: How Databricks is optimizing  AI LLM fine-tuning without data labels

admin March 27, 2025

New approach flips the script on enterprise AI adoption by using input data you already have for...

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Beyond RAG: SEARCH-R1 integrates search engines directly into reasoning models

• AI
• AI research
• AI, ML and Deep Learning
• category-/Science
• large language models (LLMs)
• Large Reasoning Models (LRMs)
• LLM reasoning
• LLMs
• reasoning models
• reinforcement learning
• research
• Retrieval-augmented generation (RAG)
• Uncategorized

Beyond RAG: SEARCH-R1 integrates search engines directly into reasoning models

admin March 19, 2025

SEARCH-R1 trains LLMs to gradually think and conduct online search as they generate answers for reasoning problems.Read...

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Less supervision, better results: Study shows AI models generalize more effectively on their own

• AI
• AI research
• AI, ML and Deep Learning
• Business
• category-/Science/Computer Science
• Hong Kong University
• large language models
• large language models (LLMs)
• LLMs
• reinforcement learning
• research
• Supervised fine-tuning (SFT)
• UC Berkeley
• Uncategorized

Less supervision, better results: Study shows AI models generalize more effectively on their own

admin February 12, 2025

Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.Read More

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