Nov 5, 08:29 AM

AI Innovations Reduce Latency with Predicted Outputs, Prompt Caching; Achieve 60 tokens/sec on 4-bit Llama 8B

Recent advancements in artificial intelligence are focusing on reducing latency in model outputs. Key strategies include the use of shorter prompts, prompt caching, and smaller models. A notable innovation is the introduction of 'Predicted Outputs,' which reportedly can significantly decrease latency when rewriting code with minor changes. This feature is now supported in the prompt playground by Anthropic AI, allowing users to cache messages easily. Additionally, improvements have been made in generating outputs with long prompts, particularly with the use of KV quantization, achieving speeds of over 60 tokens per second on an M2 Ultra with a 4-bit Llama 8B model and a 33,000 token prompt.

#Predicted Outputs #Anthropic AI #M2 Ultra #Llama

Written with ChatGPT (GPT-4o mini).

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Awni Hannun@awnihannun
2 years ago
In the latest MLX generating with long prompts is much faster with KV quantization. Thanks to @alex_barron1. 4-bit Llama 8B with a 33,000 token prompt + 8-bit KV cache generates at > 60 toks/sec on an M2 Ultra: https://t.co/TlBZTOhpfD
Portkey@PortkeyAI
2 years ago
🔥 @AnthropicAI's prompt caching feature is now supported on the prompt playground Set any message to be cached by just toggling the Cache Control setting in the UI. Thanks to Richard from @TopMarksAI for the nudge to get this feature live! https://t.co/BCvTdHAbfO
Chubby♨️@kimmonismus
2 years ago
Predicted outputs: dramatically reduce the latency https://t.co/gexSPz0uDC

AI Innovations Reduce Latency with Predicted Outputs, Prompt Caching; Achieve 60 tokens/sec on 4-bit Llama 8B

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