Silicon Valley’s quest to automate everything is unceasing, which explains its latest obsession: Auto-GPT. In essence, Auto-GPT uses the versatility of OpenAI’s latest AI models to interact with software and services online, allowing it to “autonomously” perform tasks like X and Y. But as we are learning with large language models, this capability seems to […]
What is Auto-GPT and why does it matter? by Kyle Wiggers originally published on TechCrunch
Hidet is a powerful deep learning compiler that simplifies the process of implementing high-performing deep learning operators on modern accelerators (e.g., NVIDIA GPUs). With the new feature of torch.compile(...) in PyTorch 2.0, integrating a novel compiler into PyTorch is easier than ever - Hidet now can be used as a torch.compile(...) backend to accelerate PyTorch models, making it an attractive option for PyTorch users who want to improve the inference performance of their models, especially for those who also need to implement extremely optimized custom operators.
cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications
CUDA, OpenCL, and OpenACC are the primary means of writing general-purpose software for NVIDIA GPUs, all of which are subject to the same well-documented memory safety vulnerabilities currently plaguing software written in C and C++.
Hugging Face, the AI startup backed by tens of millions in venture capital, has released an open source alternative to OpenAI’s viral AI-powered chabot, ChatGPT, dubbed HuggingChat. Available to test through a web interface and to integrate with existing apps and services via Hugging Face’s API, HuggingChat can handle many of the tasks ChatGPT can, […]
Hugging Face releases its own version of ChatGPT by Kyle Wiggers originally published on TechCrunch
Following months of intense negotiations, members of the European Parliament (MEPs) have bridged their difference and reached a provisional political deal on the world’s first Artificial Intelligence rulebook.