Taking a responsible path to AGI
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
Interpreting and Improving Optimal Control Problems With Directional Corrections
Many robotics tasks, such as path planning or trajectory optimization, are formulated as optimal control problems (OCPs). The key to obtaining high performance lies in the design of the OCP’s objective function. In practice, the objective function consists of a set of individual components that must be carefully modeled and traded off such that the …
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Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI
Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models require massive amounts of accelerated compute to train and operate effectively, pushing the boundaries of traditional computing infrastructure. They require efficient systems for distributing workloads across multiple GPU accelerated servers, and optimizing developer velocity as …
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Beyond generic benchmarks: How Yourbench lets enterprises evaluate AI models against actual data
Hugging Face warned that Yourbench is compute intensive but this might be a price enterprises are willing to pay to evaluate models on their data.Read More
Trump and DOGE Defund Program That Boosted American Manufacturing for Decades
President Donald Trump says taxing imports will strengthen domestic manufacturing. Hours before announcing new tariffs, his administration cut support for centers that help US firms do just that.
Researchers teach LLMs to solve complex planning challenges
Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them at two facilities into either dark or light coffee, and then ships the roasted coffee to three retail locations. The suppliers have different fixed capacity, and roasting costs and shipping costs vary from place to place.
I’ve reverse-engineered OpenAI’s ChatGPT 4o image generation algorithm. Get the source code here!
submitted by /u/Incognit0ErgoSum [link] [comments]
Fine-Tuning DistilBERT for Question Answering
This post is divided into three parts; they are: • Fine-tuning DistilBERT for Custom Q&A • Dataset and Preprocessing • Running the Training The simplest way to use a model in the transformers library is to create a pipeline, which hides many details about how to interact with it.
A Practical Guide to Building Local RAG Applications with LangChain
Retrieval augmented generation (RAG) encompasses a family of systems that extend conventional language models , large and otherwise (LLMs), to incorporate context based on retrieved knowledge from a document base, thereby leading to more truthful and relevant responses being generated upon user queries.
Universally Instance-Optimal Mechanisms for Private Statistical Estimation
We consider the problem of instance-optimal statistical estimation under the constraint of differential privacy where mechanisms must adapt to the difficulty of the input dataset. We prove a new instance specific lower bound using a new divergence and show it characterizes the local minimax optimal rates for private statistical estimation. We propose two new mechanisms …
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