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.
COMPUTING
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Tech Demo Review: Computer + Camera Deemed Simplistic and Imitable
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I read it and confirm it's garbage, 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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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.
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RAPIDS cuDF Library Now Integrated in Google Colab
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Also their cuDF library will automatically know if you're running on GPU or CPU and speed up your processing. RAPIDS cuDF is now integrated directly into Google Colab. Checkout the Colab Notebook: https://
colab.research.google.com/github/rapidsa
i-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_colab_demo.ipynb?ncid=ref-inor-594904
… Check out the Repo: -
NVIDIA Makes Pandas 150x Faster with Simple Code Addition
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Pandas is a powerful data analysis and manipulation library for Python!
— Sumanth (@Sumanth_077) 16 mai 2024
NVIDIA just made Pandas 150x faster with zero code changes🔥
All you have to add is just a couple of lines of code:
%load_ext cudf.pandas
import pandas as pd pic.twitter.com/bgllBZCqDTPandas is a powerful data analysis and manipulation library for Python! NVIDIA just made Pandas 150x faster with zero code changes All you have to add is just a couple of lines of code: %load_ext cudf.pandas
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Model-Based Design Accelerates Software-Defined Vehicle Development
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From concept to the road: discover how model-based design and cloud technology are accelerating the development of software-defined vehicles. Watch the full video: https://
spr.ly/6016dMWkg #SoftwareDefinedVehicles #Automotive #DigitalTwins -
Running LLMs on MacBook M1 Pro with LM Studio
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Running on Macbook M1 pro (16GB RAM) using the @LMStudioAI. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. https://
x.com/Saboo_Shubham_
/status/1790931929203912868
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Local LLMs for Web Scraping Without Internet Connection
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No internet to run the models. Web scraper with local llms.
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Web Scraper AI Agent with Local Llama-3 Using Ollama
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Full Application Code running Webs Scrapper AI agent with local Llama-3 using Ollama
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NVIDIA hardware deployment and load management strategies
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They bet on new nvidia tpus But they will also roll it out gradually I assume to control the load.