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.
[...]2025-08-06
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 [...]
2025-10-02
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 [...]
2025-10-01
Slack is fundamentally reshaping how artificial intelligence agents access and use enterprise data, launching new platform capabilities that allow developers to tap directly into the rich conversation [...]
2025-10-01
Thinking Machines, the AI startup founded earlier this year by former OpenAI CTO Mira Murati, has launched its first product: Tinker, a Python-based API designed to make large language model (LLM) fin [...]