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The most popular blog posts about ai & machine learning on Hacker News. 363 posts.
MIT CSAIL researchers introduce FeatUp, a model-agnostic framework designed to significantly enhance the spatial resolution of deep learning features for improved performance in computer vision tasks such as semantic segmentation, depth prediction, and object detection.
Llama 3.2 Vision 11B and 90B models are now available in Ollama.
YC is at our best when backing founders with an ethos of building for others, including strong open source developers like the founders of Continue [https://continue.dev] and many others. Earlier this week, a startup in the current batch, PearAI, was criticized online for an inappropriate approach to open source…
A new post-training training quantization paradigm for diffusion models, which quantize both the weights and activations of FLUX.1 to 4 bits, achieving 3.5× memory and 8.7× latency reduction on a 16GB laptop 4090 GPU. Code: https://www.github.com/mit-han-lab/nunchaku
Understanding the safety impact of Automated Driving Systems (ADS) is crucial for their widespread adoption, yet robust real-world evaluation remains a critical area of development. By leveraging insurance industry third-party auto liability claims, we analyze the Waymo ADS performance across 25.3 million fully…
Update (October 2024): In response to numerous requests from external developers, we have open-sourced a version of our Enzyme to React Testing Library (RTL) conversion tool. You can now find it on npm, along with detailed instructions on how to integrate and use it in your projects. In the world of frontend…
Trillium, Google’s sixth-generation Tensor Processing Unit (TPU) is now GA, delivering enhanced performance and cost-effectiveness for AI workloads.
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturi...
Posted by the Big Sleep team Introduction In our previous post, Project Naptime: Evaluating Offe...
We are excited to announce the release of Cerebras DocChat, our first iteration of models designed for document-based conversational question answering. This series includes two models: Cerebras Llama3-DocChat, a large language model (LLM), and Cerebras Dragon-DocChat, a multi-turn retriever model.
To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.
A survey of every framework for extracting structured output from LLMs, and how they compare.
When we amplify the "Golden Gate Bridge" feature, Claude's responses focus on the bridge. For a short time, anyone can interact with this model.
We’re happy to officially launch torchao, a PyTorch native library that makes models faster and smaller by leveraging low bit dtypes, quantization and sparsity. torchao is an accessible toolkit of techniques written...
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction In the past three months since Qwen2’s release, numerous developers have built new models on the Qwen2 language models, providing us with valuable feedback. During this period, we have focused on creating smarter and more knowledgeable language models. Today, we…
Mark Hamilton, an MIT PhD student in electrical engineering and computer science and affiliate of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), wants to use machines to understand how animals communicate. To do that, he set out first to create a system that can learn human language “from…
Unsloth fixing Google's open-source language model Gemma.
“The What and Why of Adapter based Parameter Efficient Fine Tuning: Understanding Its Purpose and Significance”
Using ONNX with WebGPU and WebAssembly leads to 20x speedup over multi-threaded and 550x speedup over single-threaded CPU performance. Learn how.
BASED is a linear attention architecture that decodes without a KV-cache, delivering a 24x throughput improvement over Transformers with FlashAttention-2.
Jun 21, 2023 | ! Homepage Slider , ! Recent Country News , Artificial Intelligence , BIG DATA , Breaking News , Compliance , Insights , Japan , Machine Learning , Regulatory , Regulatory Framework , Transparency | 0 |
OpenAI’s GPT-4 Turbo with Vision model scores worse on aider’s code editing benchmarks than all the previous GPT-4 models. In particular, it seems much more prone to “lazy coding” than the existing GPT-4 Turbo “preview” models.
Open-source AI is in jeopardy. As community interest in AI models skyrocketed over the past year, we noticed that development of new open-source foundational models came to a halt. Some even boldly announced that open-source AI is dead. Not so fast! We are excited to present you
xAI is pleased to announce our series B funding round of $6 billion.
