@artificialguybr loras on HF: https://
huggingface.co/artificialguybr Model: https://
replicate.com/fofr/any-comfy
ui-workflow
… Stickers example: https://
replicate.com/p/5t54zu3bwng6
eyfym7wm3mfbcu
… Pixel art example: https://
replicate.com/p/zypccldbklbv
wz5zvi6bcdu57y
… Full list:
TOOLS
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LoRAs and ComfyUI Models for Visual Content Generation
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Building Enterprise RAG Systems: Key Components and Failure Points
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A very good blog post by @nlpguy_ on "Building Enterprise RAG Systems" that covers Common failure points of RAG systems Guardrails on inputs and outputs Retrieval part including query rewriter, encoder, chunker, reranker. Storage part including indexer, data
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8 New AI Tools and 4 Emerging Job Opportunities
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8 new AI tools & 4 new jobs. All the direct links will be included in my newsletter tomorrow. Subscribe, and you'll never miss a thing in AI ever again: https://
therundown.ai/subscribe -
OpenAI Launches GPT Mentions Feature for ChatGPT Integration
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OpenAI quietly shipped a new ‘GPT mentions’ feature to ChatGPT (no official announcement yet). The feature allows users to integrate GPTs into a conversation by tagging them with an '@'. It's slowly rolling out (I don't have access, but my team does )
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ChatGPT Guide for Job Hunting: Navigating the Job Market
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Navigating the job market can be daunting, but Chris Donnelly's comprehensive ChatGPT Guide for Job Hunting breaks it down beautifully. For more career-transforming tips, follow @ingliguori
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Depth Anything: Monocular Depth Estimation from Unlabeled Data
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1/ Depth Anything – a monocular depth estimation solution that can deal with any images under any circumstance; proposes effective strategies to leverage the power of the large-scale unlabeled data (~62M) which helps to reduce generalization error.https://t.co/cOXWWextRV
— DAIR.AI (@dair_ai) 28 janvier 20241/ Depth Anything – a monocular depth estimation solution that can deal with any images under any circumstance; proposes effective strategies to leverage the power of the large-scale unlabeled data (~62M) which helps to reduce generalization error.
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Machine Learning Architecture: Technologies and Frameworks Overview
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Architecture of Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Architecture-o
f-M-L
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LangChain Improves Function and Tool Calling Documentation
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Updated tool calling docs More and more model APIs are starting to expose `function` and `tool` calling parameters We've improved the DevEx around this, and updated key docs Function calling guide: https://
python.langchain.com/docs/modules/m
odel_io/chat/function_calling
… Tool calling output parser: https://
python.langchain.com/docs/modules/m
odel_io/output_parsers/types/openai_tools
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Mathematics and Art Intersection in Data Science and AI
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Math and Art! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Math-Art -
TensorFlow 2 Reinforcement Learning Cookbook Guide
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TensorFlow 2 #ReinforcementLearning Cookbook! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/TF2-RL-Cookbook