Nicolay Gerold

### Strength2-4 min Rest, 3-5 reps, 3-5 working sets, work yourself up to it. You can work different muscle groups to cut down rest time. The main driver is intensity. You can do strength training every single day. Best is 2 times per week per muscle group.

Your LLMs deserve better input.

Reader converts any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/ . Get improved output for your agent and RAG systems at no cost.

• Live demo: https://jina.ai/reader


• Or just visit these URLs https://r.jina.ai/https://github.com/jina-ai/reader, https://r.jina.ai/https://x.com/elonmusk and see

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• UUID Version 1 (v1) is generated from timestamp, monotonic counter, and a MAC address.


• UUID Version 2 (v2) is reserved for security IDs with no known details2.


• UUID Version 3 (v3) is generated from MD5 hashes of some data you provide. The RFC suggests DNS and URLs among the candidates for data.


• UUID Version 4 (v4) is generated from entirely random

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Stable Beluga 2

Use Stable Chat (Research Preview) to test Stability AI's best language models for free

Model Description

Stable Beluga 2 is a Llama2 70B model finetuned on an Orca style Dataset

Balance Latency and Performance¶

Finally, make informed decisions about trade-offs between system latency and search performance based on your specific use case and user requirements.

• Understand the latency and performance requirements for your application


• Measure the impact of different configurations on latency and performance


• Make trade-offs based

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States of high alertness are generally great for strategy implementation. Creativity is most present in calm, slightly drowsy states.

TL;DR

LLMLingua utilizes a compact, well-trained language model (e.g., GPT2-small, LLaMA-7B) to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss.

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