5-50 examples, I am skeptical that this can even produce good results. Hm, on their website they include a cost example with 100,000 tokens, so this must surely be more than 5-50 examples?
AI
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Llama 2 Apps and Experiences on MediaTek Devices
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We're excited to see all the new apps and experiences enabled by Llama 2 on MediaTek-powered devices!
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Establishing Guardrails for Artificial General Intelligence Now
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Why We Should Establish Guardrails For Artificial General Intelligence Now
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/8Ath30swOva -
Hardware Dependencies and Limitations for Metal Support
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Interesting, thanks for sharing. This sounds pretty cool actually. But afaik certain features are also hardware dependent, like bfloat16, so I am not sure if Metal or macOS can address that. Would probably require new chips as well.
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AI Predicts Patient Race From Medical Images: Healthcare Equity Implications
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AI can predict patient demographics like race from medical images, prompting questions around its impact on existing healthcare inequalities. HAI faculty affiliate James Zou explores the various implications in this interview:
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Adding Chat History to PromptTemplate with Llama2
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You can now add {chat_history} into PromptTemplate. Here's how you can use Replicate running Llama2 with a PromptTemplate:
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Alteryx at Google Cloud Next: Generative AI and Cloud Innovation
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Google Cloud Next, here we come! Explore #GenerativeAI, learn from experts, connect with builders, and see how it's reshaping our world. Come meet the #Alteryx team at Booth 330! Explore what's in store: https://
cloud.withgoogle.com/next #GoogleCloud #GoogleCloudNEXT @googlecloud -
llama.cpp inference and gptq quantization techniques exploration
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Oh, reading a bit more about llama.cpp (
https://
github.com/ggerganov/llam
a.cpp
…), that's only inference, not training? I haven't tried since I don't have the model checkpoints on my laptop, but you may be able to use gptq.int4 quantization then: https://
github.com/Lightning-AI/l
it-gpt/blob/main/tutorials/quantize.md
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QLoRA 4-bit NormalFloat format supported only on Nvidia GPUs
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Ah sorry, I meant M1/M2 chips (not specifically M1/2 CPUs). As far as I know, the 4-bit NormalFloat format that is used in QLoRA is currently only supported on Nvidia GPUs (
https://
github.com/TimDettmers/bi
tsandbytes/issues/485
…). Maybe the repo you mentioned uses a different type of quantized training. -
SQL QA Integration Improves Context Management for AI Applications
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It’s often hard to bring in appropriate context to do sql qa This integration should help with that!