Tag: augmented generation

  • Hacker News: The Differences Between Deep Research, Deep Research, and Deep Research

    Source URL: https://leehanchung.github.io/blogs/2025/02/26/deep-research/ Source: Hacker News Title: The Differences Between Deep Research, Deep Research, and Deep Research Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the emergence and technical nuances of “Deep Research” in AI, especially its evolution from Retrieval-Augmented Generation (RAG). It highlights how different AI organizations are implementing this…

  • Simon Willison’s Weblog: A Practical Guide to Implementing DeepSearch / DeepResearch

    Source URL: https://simonwillison.net/2025/Mar/4/deepsearch-deepresearch/#atom-everything Source: Simon Willison’s Weblog Title: A Practical Guide to Implementing DeepSearch / DeepResearch Feedly Summary: A Practical Guide to Implementing DeepSearch / DeepResearch I really like the definitions Han Xiao from Jina AI proposes for the terms DeepSearch and DeepResearch in this piece: DeepSearch runs through an iterative loop of searching, reading,…

  • AWS News Blog: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available

    Source URL: https://aws.amazon.com/blogs/aws/get-insights-from-multimodal-content-with-amazon-bedrock-data-automation-now-generally-available/ Source: AWS News Blog Title: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available Feedly Summary: Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…

  • Hacker News: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context

    Source URL: https://arxiv.org/abs/2502.12962 Source: Hacker News Title: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach called InfiniRetri, which enhances long-context processing capabilities of Large Language Models (LLMs) by utilizing their own attention mechanisms for improved retrieval accuracy. This…

  • Hacker News: Evaluating modular RAG with reasoning models

    Source URL: https://www.kapa.ai/blog/evaluating-modular-rag-with-reasoning-models Source: Hacker News Title: Evaluating modular RAG with reasoning models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the challenges and potential of Modular Retrieval-Augmented Generation (RAG) systems using reasoning models like o3-mini. It emphasizes the distinction between reasoning capabilities and practical experience in tool usage, highlighting insights…

  • Hacker News: AI is blurring the line between PMs and Engineers

    Source URL: https://humanloop.com/blog/ai-is-blurring-the-lines-between-pms-and-engineers Source: Hacker News Title: AI is blurring the line between PMs and Engineers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the emerging trend of prompt engineering in AI applications, emphasizing how it increasingly involves product managers (PMs) rather than just software engineers. This shift indicates a blurring…

  • The Register: If you thought training AI models was hard, try building enterprise apps with them

    Source URL: https://www.theregister.com/2025/02/23/aleph_alpha_sovereign_ai/ Source: The Register Title: If you thought training AI models was hard, try building enterprise apps with them Feedly Summary: Aleph Alpha’s Jonas Andrulis on the challenges of building sovereign AI Interview Despite the billions of dollars spent each year training large language models (LLMs), there remains a sizable gap between building…

  • Cloud Blog: Unlock Inference-as-a-Service with Cloud Run and Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-your-gen-ai-app-velocity-with-inference-as-a-service/ Source: Cloud Blog Title: Unlock Inference-as-a-Service with Cloud Run and Vertex AI Feedly Summary: It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party…