techxplore13h
Neuro-inspired AI framework uses reverse-order learning to enhance code generation
Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully ...
GitHub14d
A modern diagram scripting language that turns text to diagrams.
In addition to being a runnable CLI tool, D2 can also be used to produce diagrams from Go programs. For examples, see ./docs/examples/lib. This blog post also demos a complete, runnable example of ...
Semiconductor Engineering23d
DeepSeek: Improving Language Model Reasoning Capabilities Using Pure Reinforcement Learning
“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...
unite23d
DeepSeek-R1: Transforming AI Reasoning with Reinforcement Learning
Reinforcement learning is a subset of machine learning where agents learn to make decisions by interacting with their environment and receiving rewards or penalties based on their actions. Unlike ...
VentureBeat24d
DeepSeek-R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost
DeepSeek challenged this assumption by skipping SFT entirely, opting instead to rely on reinforcement learning (RL) to train the model. This bold move forced DeepSeek-R1 to develop independent ...
GitHub24d
federated-reinforcement-learning
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the ...
VentureBeat29d
Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost
Through RL (reinforcement learning, or reward-driven optimization), o1 learns to hone its chain of thought and refine the strategies it uses — ultimately learning to recognize and correct its ...