Microsoft Wants To Automate Medical Notes With GPT-4— But Doctors Need Convincing
#AI #AIio #BigData #ML #NLU #Futureofwork @DeepLearn007 @albertogaruccio @alvinfoo @andi_staub @andy_lucerne @antgrasso @BernardMarr @enricomolinari http://
ow.ly/U4eE30swTum
LLMS
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Microsoft GPT-4 Medical Notes Automation Faces Doctor Skepticism
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Meta’s Code Llama Models Now Available on Poe
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All @MetaAI
's #CodeLlama models are now available on Poe! @poe_platform > http://
poe.com – web – iOS – Android & MacOS -
Masking PII in Language Models with LangChain Expression Language
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This is great stuff from @MaksOpp and @deepsense_ai Let's you easily mask PII before passing it into the language model – and with LangChain Expression Language is very clear/easy how to plug that into your chain
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MLFlow AI Gateway Now Powers RAG Applications with Llama2
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You can now use the highly-scalable #MLFlow AI Gateway for your RAG apps! This blog shows it all in action with a RAG application built using the API gateway, Llama2 and hosted models on MosaicML. Give it a read https://
bit.ly/3OTWA06 -
ChatGPT Impact on Language Technologist Training Programs
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What does #ChatGPT mean to someone engaged in training language technologists? Here's a short interview I did in the context of our MS program. https://
compling.uw.edu/academic-exper
ience/faculty/emily-bender-q-a
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OpenAI Enterprise Tier: Business Model Strategy Emerges
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With the release of fine-tuning for GPT 3.5-Turbo, and the announcement of a new Enterprise tier, its business model is starting to take shape. While they're positioning it around control/privacy/etc, this is really about rate limiting and reliability.
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OpenAI GPT-4 API Rate Limiting Issues Impact Enterprise Performance
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OpenAI is trying to pitch some controls and privacy additions for enterprise companies, but from companies I talk to, this is about performance and reliability. he GPT-4 API is really powerful, but users also end up running into issues with rate limiting and have to drop to 3.5T.
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OpenAI’s Tiered Pricing Strategy Mirrors Web 2 Model
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OpenAI's launch of a fine-tuned GPT 3.5-Turbo version and an enterprise tier essentially creates a track of increasing performance for its APIs with an up-to-the-right pricing model. If it looks familiar, it should: it's pretty much the route that companies took in the Web 2 era.
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Efficient LLM Training QLoRA Llama 2 Resource Optimization
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Depends on your settings. But if you limit the context size to like 2048 (like in the NeurIPS competition) and use a microbatch size of 1 with gradient accumulation and qlora with llama 2 7B, that’s approx 20 GB RAM and shouldn’t take too long, maybe an hour.
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Using LLMs for Tabular Data Predictions with Predibase
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Interested in using #LLMs on #tabular data? Check out our latest #tutorial to see how you can use @predibase to leverage LLMs for tasks traditionally regarded as the domain of gradient-boosting models — #predictions on tabular data. https://
pbase.ai/3Pjv7q2