Do LLMs Estimate Uncertainty Well in Instruction-Following?

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Large language models (LLMs) could be valuable personal AI agents across various domains, provided they can precisely follow user instructions. However, recent studies have shown significant limitations in LLMs’ instruction-following capabilities, raising concerns about their reliability in high-stakes applications. Accurately estimating LLMs’ uncertainty in adhering to instructions is critical to mitigating deployment risks. We present, …

Read more “Do LLMs Estimate Uncertainty Well in Instruction-Following?”

How Netflix Accurately Attributes eBPF Flow Logs

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

By Cheng Xie, Bryan Shultz, and Christine Xu In a previous blog post, we described how Netflix uses eBPF to capture TCP flow logs at scale for enhanced network insights. In this post, we delve deeper into how Netflix solved a core problem: accurately attributing flow IP addresses to workload identities. A Brief Recap FlowExporter is …

Read more “How Netflix Accurately Attributes eBPF Flow Logs”

ifood 4

How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Headquartered in São Paulo, Brazil, iFood is a national private company and the leader in food-tech in Latin America, processing millions of orders monthly. iFood has stood out for its strategy of incorporating cutting-edge technology into its operations. With the support of AWS, iFood has developed a robust machine learning (ML) inference infrastructure, using services …

Read more “How iFood built a platform to run hundreds of machine learning models with Amazon SageMaker Inference”

HiDream-I1: New Open-Source Base Model

by AI Generated Robotic ContentImagePosted on Comments are Disabled

HuggingFace: https://huggingface.co/HiDream-ai/HiDream-I1-Full GitHub: https://github.com/HiDream-ai/HiDream-I1 From their README: HiDream-I1 is a new open-source image generative foundation model with 17B parameters that achieves state-of-the-art image generation quality within seconds. Key Features ✨ Superior Image Quality – Produces exceptional results across multiple styles including photorealistic, cartoon, artistic, and more. Achieves state-of-the-art HPS v2.1 score, which aligns with human …

Read more “HiDream-I1: New Open-Source Base Model”

Example Applications of Text Embedding

by AI Generated Robotic ContentAI/ML ResearchPosted on Comments are Disabled

This post is divided into five parts; they are: • Recommendation Systems • Cross-Lingual Applications • Text Classification • Zero-Shot Classification • Visualizing Text Embeddings A simple recommendation system can be created by finding a few of the most similar items to the target item.

Apple Workshop on Natural Language Understanding 2024

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apple’s products and services, including Siri and search, use natural language understanding and generation to enable a fluent and seamless interface experience for users. Natural language is a rapidly moving area of machine learning research, and includes work …

Read more “Apple Workshop on Natural Language Understanding 2024”