2025-05-11
A new study from Stanford University finds that AI agents can get much better at solving complex tasks simply by learning from their own successful experiences.
The article Stanford researchers find AI agents improve when guided by past successes appeared first on THE DECODER.
[...]2025-10-08
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]
2025-10-12
Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI si [...]
2025-08-06
Google is updating Gemini to make it a better education tool with a new feature called Guided Learning. Like similar learning-focused updates to ChatGPT and Claude, Guided Learning tries to promote un [...]
2025-10-09
Check your research, MIT: 95% of AI projects aren’t failing — far from it.According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fa [...]
2025-10-02
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. [...]
2025-10-06
OpenAI launched an agent builder that the company hopes will eliminate fragmented tools and make it easier for enterprises to utilize OpenAI’s system to create agents. AgentKit, announced during Ope [...]
2025-04-28
A group of researchers covertly ran a months-long "unauthorized" experiment in one of Reddit’s most popular communities using AI-generated comments to test the persuasiveness of large lang [...]
2025-10-01
Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all o [...]