Exactly — that's all I meant. Like how you can set the prompt loss weight in the fine-tuning API.
CODE
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Notebook with strong validation accuracy but zero leaderboard score
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Here's another notebook, much simpler than the last. Decent statistical power on the validation data (70% val acc vs 56% for the baseline) but scores 0 on the leaderboard The previous notebook managed a non-zero LB score at least (ranked #7 att) https://
kaggle.com/fchollet/per-p
ixel-classification-2-gpus/edit
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Microsoft Power Platform Copilot Eliminates Traditional Coding Need
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Say Goodbye to #Coding: Microsoft Power Platform #copilot Is Out https://
gizchina.com/2023/03/18/say
-goodbye-to-coding-microsoft-launches-power-platform-copilot/
… #DevOps #cloud #tech #lowcode #NoCode #AIOps #MLOps #k8s #Kubernetes #Docker #github #Engineering #technology #opensource #python #javascript #SRE #Serverless #cicd #Container #Microsoft -
API Usage Nuances: Chat vs. Completion and System Prompt Authority
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Old completions API. But mostly I’m saying using the chat API shouldn’t be like using ChatGPT — the developer isn’t the end user. System prompt should have authority if it’s not asking for something policy-breaking.
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GPT-4 System Instructions and Developer API Implications
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What are GPT-4 system instructions even for? Jailbreaks are for chatbots — a developer API shouldn't make you play games.
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VS Code Integration Benefits ChatGPT for Larger Code Tasks
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Yes the integration right into VS Code removes a lot of friction… Due to this UIUX difference ChatGPT (which is otherwise more capable, esp at GPT-4) is currently better suited for larger code chunks. Would love to see this improved.
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Mini-challenge: Win signed Deep Learning with Python 2E book
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Mini-challenge: If you score > 0.3 on the leaderboard with a fork of this notebook, I'll send you a signed copy of Deep Learning with Python 2E
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Simple NLP Pipelines with HuggingFace Transformers
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Simple NLP Pipelines with HuggingFace Transformers: Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools. https://
kdnuggets.com/2023/02/simple
-nlp-pipelines-huggingface-transformers.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=simple-nlp-pipelines-with-huggingface-transformers
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TFData Pipeline Performance and Functional Composition Showcase
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This sort of unusual dataset makes a great showcase for the power of TFData 🙂 All-functional chaining, filters operations, super readable, etc. And you get something ultra-performant that compiles to parallel C++ (no Python at all at runtime) Here's my randomized pipeline…
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End-to-end ML pipeline with Keras U-Net and TFData implementation
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The model is pretty weak right now, but the end-to-end pipeline works. It trains on the whole dataset (a bit of a challenge given the memory constrained and the fact that streaming isn't an option!) and makes a submission. It uses TFData for the pipeline and a Keras U-Net.