Today @answerdotai is proposing `/llms.txt`. This is a file you can use to tell models where to find LLM-friendly content for your website. It provides background information, along with links to markdown files providing more detailed information.
SOFTWARE
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DFIntelligence: Struggle with complex files, but better than Claude alone
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Edit: after 4h of use, it's a struggle to use for quite complex tasks across multiple files, and it quickly forgets important contexts. BUT it's still better than just Claude in chat. (I find myself having to copy-paste files onto
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FastHTML Lambda Integration Sample from AWS
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New sample from @awscloud showing how to use FastHTML with Lambda! 😀 https://
github.com/awslabs/aws-la
mbda-web-adapter/tree/main/examples/fasthtml-response-streaming
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Claude: finds files, understands queries, executes and modifies
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It finds files itself, it has a much better understanding of queries, it can run everything for you, and modify everything in multiple files at the same time. And above all, Claude.
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Quantization Technique Reduces LLM Size and Memory Requirements
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While SOTA LLMs are too large to run on laptops, quantization is a technique that reduces LLMs’ computational and memory requirements. Quantization reduces a model’s size and speeds up processing by converting its parameters from 32-bit to lower-precision formats like 16-bit or
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Understanding different scopes of ctrl+k/i by context
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The trick is to understand that there are different scopes depending on whether you use ctrl+k/i in the terminal, in the chat, in a file, etc.
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NeuroSandboxWebUI: Local Interface for Multiple AI Models
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NeuroSandboxWebUI github: https://
github.com/Dartvauder/Neu
roSandboxWebUI
… (Windows/Linux) Local WebUI with Text, Image, Video, 3D, and Audio models in a Gradio interface. Translated on 14 languages -
Elastic Returns to Open Source Through Strategic Cloud Partnership
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For @elastic to return to open source, one cloud in particular needed to invest in its own product, and not the "undifferentiated heavy lifting" of taking Elastic's. But the good news is that partnering is a great way forward. My column for @infoworld https://
infoworld.com/article/349940
0/elastics-return-to-open-source.html
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New Hub feature displays carbon emissions from model training
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New feature on the Hub! Carbon emissions emitted during training now show up on the model card!
(requires model authors to fill that info first) Hopes it will prompt more people to show the carbon emissions of their model training! Thanks a lot to the team who pushed
