Arnold Einstein #StableDiffusion2 #AIart
TOOLS
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Building Personal ChatGPT with Open Source LLMs
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Your personal #ChatGPT chatbot built with: – A personal corpus
– #opensource LLMs available on @huggingface and @allen_ai
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Make ChatGPT Write Like You: Style Analysis Technique
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#ChatGPT tip of the day! How to make it write like you! ***************************** Sample prompt: [Insert your own writing sample] "Analyze the writing style of the above author and write about [ADD TOPIC] in a similar way." *****************************
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Breaking Language Barriers: Auto-Dubbing and English Content Creation
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I also hope less language-locked in future. Either through auto dubbing or just more english content creation. The stuff that looks the same frequently is imho just developing a culture on a new layer. As in youtube-first iterations and spin offs
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Feature Stores: Core Infrastructure for ML Systems and Real-Time Data
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Feature stores are at the core of ML systems. They provide storage, management, and serving of features for models. We have a real-time store. You can merge batch and streaming data pipelines and build features in SQL/Python. Check it out! https://
abacus.ai/featurestore -
ControlNet: new AI to guide Stable Diffusion with input image
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ControlNet is the latest innovation in AI image generation. It will 'guide' Stable Diffusion to draw more inspiration from the input image. For example, it can be used to recreate faces… Alright, little thread, let's start with a Real version of Zelda
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Hugging Face Documentation for Fine-tuning Image Captioning Models
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Check out the Documentation from Hugging Face on the same for Finetuning these Image Captioning models. →
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Fine-tuning Image Captioning Models with Hugging Face Transformers
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Image Captioning Models helps in generating a caption for a given image. Now you can fine-tune these models on your own images with Hugging Face Transformers Here's how you can do that:
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Starting YouTube Series on Open Source Machine Learning Tools
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Yeah there a lot of great open source tools Sumit, especially in ML. I am soon starting a youtube series called Open Source Machine Learning to cover them all.