AI has advanced in language processing, mathematics, and code generation, but extending these capabilities to physical environments remains challenging. Physical…
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Enhancing Language Model Generalization: Bridging the Gap Between In-Context Learning and Fine-Tuning
Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora, allowing them to generalize…
Lees meerResearchers from Renmin University and Huawei Propose MemEngine: A Unified Modular AI Library for Customizing Memory in LLM-Based Agents
LLM-based agents are increasingly used across various applications because they handle complex tasks and assume multiple roles. A key component…
Lees meerGemini 2.5: Our most intelligent models are getting even better
Gemini 2.5 Pro continues to be loved by developers as the best model for coding, and 2.5 Flash is getting…
Lees meerOur vision for building a universal AI assistant
We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of…
Lees meerAdvancing Gemini’s security safeguards
We’ve made Gemini 2.5 our most secure model family to date.
Lees meerAnnouncing Gemma 3n preview: Powerful, efficient, mobile-first AI
Gemma 3n is a cutting-edge open model designed for fast, multimodal AI on devices, featuring optimized performance, unique flexibility with…
Lees meerFuel your creativity with new generative media models and tools
Introducing Veo 3 and Imagen 4, and a new tool for filmmaking called Flow.
Lees meerSynthID Detector — a new portal to help identify AI-generated content
Learn about the new SynthID Detector portal we announced at I/O to help people understand how the content they see…
Lees meerMeta Introduces KernelLLM: An 8B LLM that Translates PyTorch Modules into Efficient Triton GPU Kernels
Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch…
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