The new keras isn't distributed via pip yet — until the official Keras 3 release. Either use the keras_core package from pip or build the new keras from source (it's a single command)
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OpenAI Launches Redesigned Cookbook for AI Builders
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The OpenAI Cookbook serves as a resource to tens of thousands of AI builders every day.
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Today, we're launching http://
cookbook.openai.com – a friendlier way to navigate our examples and guides.
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V/ @simonpfish @OpenAI #GenAI #chatgpt #llm #gpt4 -
Free Webinar: LLM Models, Vector Stores, and Production Deployment
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FREE webinar on Sep 26! 9 AM – 11 AM PST You'll learn: • Data transformers
• Vector stores
• How to use LLM models
• How to chain data, user-code, and LLM modules together
• Deploy and monitor into production Register: https://
eventbrite.com/e/706850096667
?aff=oddtdtcreator
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Beginner’s Guide to Finetuning Large Language Models
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Beginners’ Guide to Finetuning Large Language Models (LLMs): Introduction Embark on a journey through the evolution of artificial intelligence and the… #DataAnalytics #DataScience #DataDriven #AI #BigData #BigDataAnalytics #BusinessIntelligence #CTO https://
analyticsvidhya.com/blog/2023/08/f
inetuning-large-language-models-llms/?utm_source=dlvr.it&utm_medium=twitter
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Keras contribution history preserved after repository swap
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Likewise, if you were a contributor to keras-team/keras before the swap, your contribution history has been fully preserved: the new commits have been reapplied on top of the old git tree.
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Keras-core contributors’ commits reapplied preserving authorship records
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If you were a contributor to keras-team/keras-core, your commits have been reapplied in keras-team/keras under your own authorship, so that your contribution record is fully preserved. It's really important to us that we acknowledge all contributions from our community.
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Keras 3 Development Moves to Official Repository with New Name
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Announcement: The development of Keras 3 has moved to https://
github.com/keras-team/ker
as
… (from keras-team/keras-core previously) and the project has been renamed "Keras" (from "Keras Core" previously). Keras Core has become Keras. -
Natural Language Interfaces Enable Enterprise AI Data Conversations
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For years I have believed the future of human computer interactions would be based on conversations that enable humans to use their natural language. Now thanks to @vectara
, developers can make this a reality over just about any enterprise data. -
Keras: Two versions, a new multi-backend and a legacy TensorFlow
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There will be 2 Keras versions: – The new one, distributed as `keras`, fully multi-backend
– The legacy, TF-only one, distributed as `tf-keras` tf.keras will be the new one by default, but can be set to the old one if you need. -
Keras Multi-Backend Support in TensorFlow with Backward Compatibility
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In the future, importing Keras from TF (`tf.keras`) will give you multi-backend Keras. However we will provide a way to revert back to the legacy tf-only Keras (exact same setup as before), so as to enable folks to upgrade their TF version without worrying about minor breakages.