Do you have a vector database of pg quotes for this?
CODE
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Build Deploy Custom AI Agents RAG Without Code
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Chat with LLM to build AI Agents 🤯
— Shubham Saboo (@Saboo_Shubham_) 17 mai 2024
Build and deploy custom AI agents with RAG without writing a single line of Python Code. pic.twitter.com/HRnuxCnloYChat with LLM to build AI Agents Build and deploy custom AI agents with RAG without writing a single line of Python Code.
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Hands-on Tutorial on Cloud and Fog Robotics with ROS2 and FogROS2
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Excited about the Hands-on Tutorial on Cloud and Fog Robotics: with ROS2 and FogROS2 today #ICRA2024 in CC-304 8:30am-12:30pm:
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Fixed filename issue preventing Discord and OS from renaming
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ok got it to work. i think its not even a steganography thing? just needed to make sure discord/OS doesnt rename the filename
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Llama3 Local RAG Python Script GitHub Repository
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Here is the python script and instructions ar in redme: https://
github.com/Shubhamsaboo/a
wesome-llm-apps/tree/main/llama3_local_rag
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Hugging Face Spaces Dev Mode Enables Remote SSH Debugging
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Have you ever wanted to connect to your @huggingface Space over SSH? For instance to debug a nasty GPU error remotely? Well… now you can Introducing Spaces Dev Mode:
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Mediocre Tech Demo: Basic Computer + Camera
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I read it and confirm it's absolutely terrible, a computer + a camera… Anyone can do the same demo with GPT's API, capturing 1 frame every 5 seconds and adapting in real-time.
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Critique: AI Demo Judged Disappointing, Easily Reproducible with GPT API
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I read it and I confirm it's very poor, a computer + a camera…
Anyone can do the same demo with the GPT API that captures 1 frame every 5 seconds and adapts in real-time. -
Daily Content Sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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cuDF Pandas Accelerator: Overcome In-Memory Limitations
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Pandas operates in-memory, as it loads the entire dataset into the local memory of the machine it is running on. This limits its ability to handle large datasets. With cuDF’s pandas accelerator you can now bring accelerated computing to pandas workflows.