Transformer models: an introduction and catalog — 2023 Edition https://
bit.ly/3PbEJnk #AI #MachineLearning #DeepLearning #LLMs #DataScience
AI
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Transformer Models: Introduction and Catalog 2023 Edition
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Train Llama2 on Custom Data with Just 10 Lines YAML
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What does it take to train #Llama2 on your own data? Only 10 lines of YAML with
@ludwig_ai
. These new capabilities are part of our upcoming v0.8 release. Get a sneak peek and #finetune LLaMa2 with this free colab notebook: https://
colab.research.google.com/drive/1c3AO8l_
H6V_x37RwQ8V7M6A-RmcBf2tG?usp=sharing
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AI Strategy Guide for Manufacturing Organizations
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Is AI Right For You? Preparing A Strategy For Your Manufacturing Organization
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/5SU630swnqs -
HuggingGPT Agent Connects HuggingFace Models via LangChain
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HuggingGPT Another installment to langchain_experimental Thanks to @itricktreat you can now use an agent which connects to a variety of @huggingface models in @langchain Based on the paper here: https://
arxiv.org/abs/2303.17580 Docs: https://
python.langchain.com/docs/use_cases
/autonomous_agents/hugginggpt.html
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Customizing Agent Prompts and Tools in Framework
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Most agent implementations customize the prompts & tools We rewrote our agent getting started guide to better describe all the parts of our agent framework as well as how to customize them
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RealChar Team Highlights AI Companions with LangSmith Integration
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The whole @RealCharAI team is awesome Really excited to have this opportunity to help highlight their work! Play around with their GitHub here: https://
github.com/Shaunwei/RealC
har
… Read blog here: https://
blog.langchain.dev/realchar-x-lan
gsmith-ai-companions/
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Transformers in Reinforcement Learning: A Comprehensive Survey
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Transformers in Reinforcement Learning: A Survey A survey that explores the applications of transformers in reinforcement learning. The survey provides a brief overview of RL and challenges of classical RL approaches, traits of transformers that make them suitable for
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Mastering Small Object Detection with SAHI Technology
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🚀New Video🚀https://t.co/eQuoNsQhxR
— Satya Mallick (@LearnOpenCV) 24 juillet 2023
Mastering small object detection in digital images can be tough! The key is overcoming limited spatial scope, low pixel coverage, and low signal-to-noise ratio!
Check out our latest video on SAHI to learn more.#ComputerVision… pic.twitter.com/NjB1ero9rZNew https://
youtube.com/watch?v=UuOjJK
xn-M8
… Mastering small object detection in digital images can be tough! The key is overcoming limited spatial scope, low pixel coverage, and low signal-to-noise ratio! Check out our latest video on SAHI to learn more. #ComputerVision -
Analytics Protecting Hammerheads: Data for Conservation
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What are sharks doing while you sleep? This #SharkWeek dive into shark days and shark nights and see how analytics is helping researchers recognize patterns to protect hammerheads in the Galapagos Islands. #dataforgood
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Multi-Repl Deletion Feature Now Available
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7/ Multi-Repl Deletion
— Replit ⠕ (@Replit) 24 juillet 2023
A much-requested feature! Now you can select and delete multiple Repls rather than each individually. pic.twitter.com/LtyWVofawq7/ Multi-Repl Deletion A much-requested feature! Now you can select and delete multiple Repls rather than each individually.