> Want to know how much an API LLM call costs you? I've just made a Space that gets you the API price for any LLM call, for nearly all inference providers out there! This is based on a comment by @victormustar under my HF Post a few months back, and leverages @make_berri
's data
LLMS
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Space that calculates API LLM call costs for all providers
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Prompts for personal and professional growth with Gemini 1.5 Pro
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Google Gemini 1.5 Pro is insanely powerful. But 99.9% of people don't know how to use it. That's why I created this list of prompts to help you grow personally and professionally. Like + Comment "AI" and I'll DM you the file for free. (Must be following)
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SambaNova Cloud Achieves 570 Tokens Second Llama 3.1
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You asked for speed and we came through! 🏎️💨
— SambaNova (@SambaNovaAI) 11 septembre 2024
Our newly launched SambaNova Cloud delivers a fast speed of up to 570 tokens/second on @AIatMeta's Llama 3.1 70B.
Don't believe us? It's available for you to try yourself. ⤵️ https://t.co/zm6RCXXsaP #AI #Developers pic.twitter.com/Ots7BZUHgNYou asked for speed and we came through! Our newly launched SambaNova Cloud delivers a fast speed of up to 570 tokens/second on @AIatMeta
's Llama 3.1 70B. Don't believe us? It's available for you to try yourself. http://
cloud.sambanova.ai #AI #Developers -
Arcee AI Unveils SuperNova Customizable Model for Enterprises
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Arcee #AI unveils SuperNova: A customizable, instruction-adherent model for enterprises https://
venturebeat.com/ai/arcee-ai-un
veils-supernova-a-customizable-instruction-adherent-model-for-enterprises/
… via @VentureBeat -
Upstage Releases SolarPro Preview LLM for Single GPU
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Super happy to release @Upstageai
’s flagship model, #SolarProPreview – the most intelligent LLM on a single GPU: strong on key benchmarks such as MMLU-Pro and IFEval 1. Download weights directly from @huggingface https://
huggingface.co/upstage/solar-
pro-preview-instruct
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SambaNova Achieves 10X Faster Llama Inference Performance
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Chart bonanza by @ArtificialAnalysis! When @grmcameron and @_micah_h state that they’re pulling results charts, they’re not kidding! Llama 3.1 405B @ 132 T/S Llama 70B @ up to 570 T/S 10X faster inference than GPUs Start developing http://
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Code Data Improves LLM Generalization Beyond Coding Tasks
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New from @CohereForAI and @cohere
! To Code, or Not To Code? This paper reveals that including code data in LLM pre-training is critical for generalization far beyond coding tasks. The authors @viraataryabumi @ahmetustun89 and @sarahookr are here to answer your questions! -
Own Your Models: Control, Privacy, and Cost in GenAI
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Stop renting and start #owning your models As if #privacy and #cost aren't motivating enough, what about ownership? Who wants to get caught off guard when commercial #LLMs get deprecated Looking for a #GenAI stack that gives you the control you need without sacrificing