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Empowering Computer Vision with Zero-Shot Learning in the Data-Centric Small Data Age
Author(s): Luhui Hu Originally published on Towards AI. Photo by Jeremy Perkins on Unsplash Inside zero-shot learning from OpenAI CLIP, Microsoft RegionCLIP, and Meta SAM The era of big data has provided Machine Learning (ML) and Computer Vision (CV) with ample fuel …
How to Fine-Tune Meta SAM
Author(s): Luhui Hu Originally published on Towards AI. Photo by Wolfgang Hasselmann on Unsplash Checkpoint-based fine-tuning of Meta pre-trained SAM for domain images Transformers and foundation models have reinvented AI and ushered in a new AI era of unifying NLP and CV, …
Autonomous GPT-4: From ChatGPT to AutoGPT, AgentGPT, BabyAGI, HuggingGPT, and Beyond
Author(s): Luhui Hu Originally published on Towards AI. Emerging task automation and AI agents with GPT-4 after LangChain and LlamaIndex integration trend Large Language Models on Fire (Photo courtesy by author, taken at Sedona on 4/9/2023) The emergence of ChatGPT and LLM …
LLaMA-GPT4All: Simplified Local ChatGPT
Author(s): Luhui Hu Originally published on Towards AI. Meta LLaMA-based GPT4All for your local ChatGPT clone solution GPT4All, Alpaca, and LLaMA GitHub Star Timeline (by author) ChatGPT has taken the world by storm. It sets new records for the fastest-growing user base …
Scaling AI with Ray
Author(s): Luhui Hu Originally published on Towards AI. Ray is emerging in AI engineering and becomes essential to scale LLM and RL Photo by Eleni Bellou on Unsplash Spark is almost essential in data engineering. And Ray is emerging in AI engineering. …
Scaling AI with Ray
Author(s): Luhui Hu Originally published on Towards AI. Ray is emerging in AI engineering and becomes essential to scale LLM and RL Photo by Eleni Bellou on Unsplash Spark is almost essential in data engineering. And Ray is emerging in AI engineering. …
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