Tag: limitations

Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…

Simon Willison’s Weblog: First impressions of the new Amazon Nova LLMs (via a new llm-bedrock plugin)

Dec 4, 2024

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Source URL: https://simonwillison.net/2024/Dec/4/amazon-nova/ Source: Simon Willison’s Weblog Title: First impressions of the new Amazon Nova LLMs (via a new llm-bedrock plugin) Feedly Summary: Amazon released three new Large Language Models yesterday at their AWS re:Invent conference. The new model family is called Amazon Nova and comes in three sizes: Micro, Lite and Pro. I built…

Hacker News: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques

Dec 4, 2024

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Source URL: https://github.com/athina-ai/rag-cookbooks Source: Hacker News Title: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a comprehensive resource on advanced Retrieval-Augmented Generation (RAG) techniques, which enhance the accuracy and relevance of responses generated by Large Language Models (LLMs) by integrating external…

Hacker News: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking

Dec 3, 2024

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Source URL: https://www.pinecone.io/blog/cascading-retrieval/ Source: Hacker News Title: Cascading retrieval: Unifying dense and sparse vector embeddings with reranking Feedly Summary: Comments AI Summary and Description: Yes Summary: Pinecone has introduced new cascading retrieval capabilities for AI search applications, enhancing the integration of dense and sparse retrieval systems. These advancements, which reportedly improve performance by up to…

The Register: GitHub’s boast that Copilot produces high-quality code challenged

Dec 3, 2024

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Source URL: https://www.theregister.com/2024/12/03/github_copilot_code_quality_claims/ Source: The Register Title: GitHub’s boast that Copilot produces high-quality code challenged Feedly Summary: We’re shocked – shocked – that Microsoft’s study of its own tools might not be super-rigorous GitHub’s claim that the quality of programming code written with its Copilot AI model is “significantly more functional, readable, reliable, maintainable, and…

Cloud Blog: Vertex AI grounding: More reliable models, fewer hallucinations

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-vertex-ai-grounding-helps-build-more-reliable-models/ Source: Cloud Blog Title: Vertex AI grounding: More reliable models, fewer hallucinations Feedly Summary: At the Gemini for Work event in September, we showcased how generative AI is transforming the way enterprises work. Across all the customer innovation we saw at the event, one thing was clear – if last year was…

Slashdot: Bluesky’s Open API Means Anyone Can Scrape Your Data for AI Training. It’s All Public

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Source URL: https://tech.slashdot.org/story/24/12/01/2125225/blueskys-open-api-means-anyone-can-scrape-your-data-for-ai-training-its-all-public?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Bluesky’s Open API Means Anyone Can Scrape Your Data for AI Training. It’s All Public Feedly Summary: AI Summary and Description: Yes Summary: The text discusses an incident where user data from Bluesky was scraped and uploaded to an AI platform, raising concerns about data privacy and consent in…

Hacker News: What happens if we remove 50 percent of Llama?

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Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…

AWS News Blog: Announcing Amazon FSx Intelligent-Tiering, a new storage class for FSx for OpenZFS

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