Tag: embeddings
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Hacker News: Multimodal Interpretability in 2024
Source URL: https://www.soniajoseph.ai/multimodal-interpretability-in-2024/ Source: Hacker News Title: Multimodal Interpretability in 2024 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in multimodal interpretability within AI, highlighting a shift towards mechanistic and causal interpretability methods over traditional techniques. It emphasizes the integration of interpretability across language and vision models and outlines various…
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AWS News Blog: AWS Weekly Roundup: 197 new launches, AI training partnership with Anthropic, and join AWS re:Invent virtually (Nov 25, 2024)
Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-197-new-launches-ai-training-partnership-with-anthropic-and-join-aws-reinvent-virtually-nov-25-2024/ Source: AWS News Blog Title: AWS Weekly Roundup: 197 new launches, AI training partnership with Anthropic, and join AWS re:Invent virtually (Nov 25, 2024) Feedly Summary: Last week, I saw an astonishing 197 new service launches from AWS. This means we are getting closer to AWS re:Invent 2024! Our News Blog team…
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Hacker News: 32k context length text embedding models
Source URL: https://blog.voyageai.com/2024/09/18/voyage-3/ Source: Hacker News Title: 32k context length text embedding models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the launch of the Voyage 3 series embedding models, which provide significant advancements in retrieval quality, latency, and cost-effectiveness compared to existing models like OpenAI’s. Specifically, the Voyage 3 models…
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Simon Willison’s Weblog: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast
Source URL: https://simonwillison.net/2024/Nov/22/weeknotes/#atom-everything Source: Simon Willison’s Weblog Title: Weeknotes: asynchronous LLMs, synchronous embeddings, and I kind of started a podcast Feedly Summary: These past few weeks I’ve been bringing Datasette and LLM together and distracting myself with a new sort-of-podcast crossed with a live streaming experiment. Project: interviewing people about their projects Datasette Public Office…
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METR Blog – METR: Evaluating frontier AI R&D capabilities of language model agents against human experts
Source URL: https://metr.org/blog/2024-11-22-evaluating-r-d-capabilities-of-llms/ Source: METR Blog – METR Title: Evaluating frontier AI R&D capabilities of language model agents against human experts Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the release of RE-Bench, a new benchmark aimed at evaluating the performance of AI agents against human experts in machine learning (ML) research…
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Simon Willison’s Weblog: llm-gguf 0.2, now with embeddings
Source URL: https://simonwillison.net/2024/Nov/21/llm-gguf-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: llm-gguf 0.2, now with embeddings Feedly Summary: llm-gguf 0.2, now with embeddings This new release of my llm-gguf plugin – which adds support for locally hosted GGUF LLMs – adds a new feature: it now supports embedding models distributed as GGUFs as well. This means you can…
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Hacker News: You could have designed state of the art positional encoding
Source URL: https://fleetwood.dev/posts/you-could-have-designed-SOTA-positional-encoding Source: Hacker News Title: You could have designed state of the art positional encoding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of positional encoding in transformer models, specifically focusing on Rotary Positional Encoding (RoPE) as utilized in modern language models like Llama 3.2. It explains…
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Hacker News: All-in-one embedding model for interleaved text, images, and screenshots
Source URL: https://blog.voyageai.com/2024/11/12/voyage-multimodal-3/ Source: Hacker News Title: All-in-one embedding model for interleaved text, images, and screenshots Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces the release of voyage-multimodal-3, a cutting-edge multimodal embedding model that enhances the capability of semantic search and retrieval tasks involving both text and images. Its ability to…
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Hacker News: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices
Source URL: https://nexa.ai/blogs/[object Object] Source: Hacker News Title: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OmniVision is an advanced multimodal model designed for effective processing of visual and textual inputs on edge devices. It improves upon the LLaVA architecture by reducing image…
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Simon Willison’s Weblog: Binary vector embeddings are so cool
Source URL: https://simonwillison.net/2024/Nov/11/binary-vector-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: Binary vector embeddings are so cool Feedly Summary: Binary vector embeddings are so cool Evan Schwartz: Vector embeddings by themselves are pretty neat. Binary quantized vector embeddings are extra impressive. In short, they can retain 95+% retrieval accuracy with 32x compression and ~25x retrieval speedup. It’s so…